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Easy and Fun Art Projects for Kids

Easy and Fun Art Projects for Kids
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 67 lectures (5h 33m) | Size: 7.34 GB

Simple art projects children can create using everyday objects

What you'll learn:
Art is easy and fun!
Everyone can create art!
Create simple art pieces from common objects.

Requirements
Be ready to have fun with art!


Description
Art should be creative, fun, and confidence building. This video series allows all children to find their artistic capabilities. The series focuses on art projects that children can complete successfully and show off with pride and with new-found skills.

Children will learn they can create art, from finger paints to finger puppets, clay sculptures to watercolor painting. Children will have fun creating art with the Happy and Max characters.

The art projects present seasonal (winter, spring, summer and fall) themes. Children will learn to work with watercolors, finger paints, crayons, tape, scissors, and more.

Children can create most of the art projects in 30 minutes or less--from setup, creations, to clean up.

The series is ideal for parents, teachers, and homeschoolers.

Children will learn to master crayons, paints, scissors, staplers, glue, and much more. The projects use common items found around the home which reduces the things you must do to prepare!

With 67 art activities, there's plenty to create and learn. The Happy & Max characters are present throughout the videos learning and having fun along with the budding artists.

The video series is ideal for beginning artist -- from preschool through sixth grade.

Art can be easy, fun, and inexpensive. Now is a great time to start.

Please note: The videos are appropriate for children to view and follow as they construct their art. That said, the content is intended to be used by teachers, parents, or guardians who oversee and guide the child's learning. Under Udemy policies: those under 18 may use the services only if a parent or guardian opens their account, handles any enrollments, and manages their account usage.

Who this course is for
Parents and Teachers of Preschool through 6th grade artists

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Cucumber BDD with Python 3 Behave and Selenium WebDriver

Cucumber BDD with Python 3 Behave and Selenium WebDriver
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 9.48 GB | Duration: 19h 8m



What you'll learn
You will be able to create Cucumber BDD testing framework using Python, Behave, Selenium WebDriver, ....
You will be able to read and write Cucumber BDD style tests in Python
You will be able to work on Cucumber BDD Framework supporting both Frontend with BDD Selenium and Backend with pure BDD Python
You will create full E-Commerce site on your computer and practice test automation
BONUS: SQL Crash Course (MySQL). You will learn how to work with MySQL database
You will learn tips and tricks of finding elements, debugging issues, shortcuts with IDE, test methodologies, setup py file
You will be able to use virtual environment and try different versions of Python libraries

Requirements
Understand basic Python (Python 3 or 2 is fine)
Understand Automated testing basics
Have access to install libraries on the computer you are going to use


Description
Course Description

Learn how Cucumber BDD (Behavioral Driven Development/Test Driven Development) testing frameworks work. Learn how the pieces of Cucumber fall together and how frameworks are put together, as well as best practices of BDD. We will use the most popular and actively maintained Cucumber framework for Python BDD called 'Behave'. We will use PowerPoint presentation to convey the concepts on each topic and then write example code testing real scenarios with Selenium WebDriver as well as API testing.

We will build an E-commerce site on our local machine and practice writing real test cases both for front end with Selenium WebDriver and for the backend with Python, with full access to MySQL database of our site.

Critical addition to your resume

If you are getting into the QA world or you are looking to advance your career, having BDD testing skill will accelerate your success. Python is one of the most popular languages to use in software testing, and knowing how to use it with BDD style testing will expand your pool of possibilities.

In addition to using Python for BDD testing you will also get tips and guidance on best practices.

After completion of this course you will be able to go through interview as if you have BDD testing experience. You will also have a ready to go framework that you can continue to add test cases for practice and for your portfolio.

Content and Overview

In this course we will be using PowerPoint presentation to explain the concepts and then go to code in an IDE (PyCharm) for each topic. Some topics, we will go directly to code and start writing and executing.

We will install necessary packages for our framework. We will discuss the directory structure needed for our design, and then we will write and run test cases.

We will run how the BDD tests are written, how the work together and how to understand and control the output.

We will create an efficiently structured test framework and learn how to use Pythons logging module to produce readable reports.

What am I going to get from this course?

49 + lectures of BDD core concepts, examples and practice exercises (continuously adding more examples)

Plenty of test cases to use in your portfolio and to build bigger test suits on top of the course material

Enough material and examples to be able to create a project (BDD test framework) and maintain a GitHub repo

Specific features of the most popular BDD framework for Python called Behave

Practice using Selenium WebDriver functions with Python

Practice testing of Front-end with Selenium WebDriver BDD and Python

Practice testing of Back-end with Python


Who this course is for:
Anyone looking to learn automation testing and has a bit of background in Python and Selenium WebDriver
Anyone that already know basic automated testing and want to know how to apply BDD
Anyone coming from Java or other background and can pickup Python easily


Homepage

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2021 Complete Investing Bootcamp from Zero to Hero

2021 Complete Investing Bootcamp from Zero to Hero
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.72 GB | Duration: 20h 19m

Learn how to Invest like a Professional - Start from the basics and go all the way to trading Stock Options & Cryptos


What you'll learn
How to think about your personal finances like a Hedge Fund Manager.
Build a balance sheet of your personal wealth and net worth in Google Sheets. Learn how to update it over time and see how it is growing and why.
Learn why today's financial advice for individuals does not work and how sophisticated investors manage their personal finances.
Learn about different types of investments (asset classes) and their role in a balanced portfolio.
Develop an understanding on how to pick the proper ETFs to use in your portfolio and why.
Learn about Returns, Risk and Diversification like an Investment Professional.
Calculate Historical Returns and Volatilities in Google Sheets with freely available data for any ETF you are interested in adding to your portfolio.
Learn how Modern Portfolio Theory works and build a 60/40 Asset Allocation model in Google Sheets.
Learn how Risk Parity works, why it is a better approach for a balanced portfolio.
Build step by step a Risk Parity portfolio in Google Sheets.
Trade your own Risk Parity portfolio in a simulated environment.
Learn about Stock Options! How they work and how they can be used to achieve leverage in your Risk Parity portfolio.
Really Invest like a professional , by adding leverage to your Risk Parity portfolio by using Stock Options.
Step by step practical walkthrough on how to trade Stock Options in a simulated environment.
Understand how taxes can impact your returns and how to harvest your losses year over year.
Bonus Material: Cryptocurrencies! Learn how to add Crypto to your balanced portfolio and how to farm attractive yields in a 0% interest rate environment.


Description
We will cover a lot in this course. It might come across a little bit overwhelming, but do not worry we will take our time in each topic to make sure it will sink in and before you know it you will be confidently picking your own ETFs, building an investment portfolio and trading.

We will start by building together a balance sheet of your own personal wealth. This is how you will learn how much you are worth and how that is changing over time.

We will then talk about why you should invest and how much of your personal wealth you should consider investing.

We will then talk about what you can invest your money in. And walk through each individual liquid asset class (including Nominal Bonds, Inflation-Linked Bonds, Equities/Stocks, REITs and Commodities) how it works, what is its role in a portfolio and what type of risks you incur in investing in it. I will show you how to research ETFs and what to look for when picking an ETF. As well as examples for each Asset Class.

From that we will move on to talk about risk, return and diversification. Why it is important to buy and hold investments, vs actively trading and why you should try to get exposure to an Asset Class through an Index fund instead of individual securities, for example stocks.

We will talk about the traditional way of Investing for Retail Investors, the 60/40 asset allocation model. We will build a simple version of that.

Next we'll talk about another approach to investing, a more balanced one called risk parity. We will build a risk parity model portfolio together. We will build rebalancing logic, so that you can re-use this model over time with your own personal investments. We will trade together the ETFs, I will show you how to do that. We will talk about Leverage, what it is, why it can be good for your portfolio and how to use derivatives to achieve leverage. We will build together a Risk Parity portfolio that uses leverage through Stock Options. I will show you how to trade Stock Options to achieve leverage in your portfolio.

We will talk about Tax Implications of ETF investing and how to harvest tax losses at the end of year. Last we will enter the world of Cryptocurrencies. I will show you how I think about this new and exciting world, what could be their role in a balanced portfolio and how to farm yield with them.


Who this course is for:
Anyone interested in Investing responsibly their personal savings.


Homepage

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The Complete Artificial Intelligence for Cyber Security 2021

The Complete Artificial Intelligence for Cyber Security 2021
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.07 GB | Duration: 15h 21m

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications


What you'll learn
Isolation Forest
Markov Chains
Statsmodels
NLP (Natural Language Processing)
Linear Regression
Logistic Regression
Naïve Bayes
ANN (Artificial Intelligence)
Random Forest
K-means
HMM
Eigenfaces and Eigenvalues
SVM (Support Vector Machine)
XGBOOST
Pandas
Numpy
matplotlib
IF-IDF
Tensorflow
Scikit-Learn
Cyber security
Google Colab
Data Pre-processing.
Analysing Data.
Data standardization.
Splitting Data into Training Set and Test Set.
One-hot Encoding.
Understanding Machine Learning Algorithm.
Training Neural Network.
Model building.
Analysing Results.
Model compilation.
A Comparison Of Categorical And Binary Problem.
Make a Prediction.
Testing Accuracy.
Confusion Matrix.
Keras.


Description
*** AS SEEN ON KICKSTARTER ***

Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering:

How to start building AI with no previous coding experience using Python.

How to solve AI problems in cyber security field.

Here is what you will get with this course:

1. Complete beginner to expert AI skills - Learn to code self-improving AI for a range of purposes. In fact, I will code together with you. Every tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means.

2. Coding step- Plus, you'll get a template which shows all the steps and all detailed explanations on each step.

3. Intuition Tutorials - Where most courses simply bombard you with dense theory and set you on your way, you will develop a deep understanding for not only what you're doing, but why you're doing it. That's why I don't throw complex theories at you, but focus on building up your intuition in coding AI making for infinitely better results down the line.

4. Real-world solutions - You'll achieve your goal in not only 1 project but in more than 10. Each module is comprised of varying structures and difficulties, meaning you'll be skilled enough to build AI adaptable to any projects in real life, rather than just passing a glorified memory "test and forget" like most other courses. Practice truly does make perfect.

5. In-course support - I fully committed to making this the most accessible and results-driven AI course on the planet. This requires me to be there when you need my help. That's why I will support you in your journey, meaning you'll get a response from me within 72 hours maximum.


Who this course is for:
Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning in Cyber Security
Any people who are not satisfied with their job and who want to become a Data Scientist.
Any data analysts who want to level up in Machine Learning, Deep Learning and Artificial Intelligence.
Any people who are not that comfortable with coding but who are interested in Machine Learning, Deep Learning, Artificial Intelligence and want to apply it easily on datasets.
Any students in college who want to start a career in Data Science.
Anyone passionate about Artificial Intelligence.
Data Scientists who want to take their AI Skills to the next level.
AI experts who want to expand on the field of applications.
Any people who want to create added value to their business by using powerful Machine Learning, Artificial Intelligence and Deep Learning tools. Any people who want to work in a Car company as a Data Scientist, Machine Learning, Deep Learning and Artificial Intelligence engineer.
Any people who are not satisfied with their job and who want to become a Data Scientist.

Homepage

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Qlik Sense Certification - The Complete Practical Course

Qlik Sense Certification - The Complete Practical Course
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 356 lectures (33h 28m) | Size: 18.1 GB

Learn to develop Qlik Sense, be ready to take QSDA/QSBA certification exams - all in one comprehensive hands on course.

What you'll learn:
Begin with the Data Manager to load & shape data in our first app
Understand associative model concepts
Create sheets with charts, tables and KPIs
Understand the 4 application tier types
Alternate states for comparative analysis
Star and Snowflake schema types
How to build data models based on user requirements
Load data from different data source types
Understand Joins, IntervalMatch, Crosstable , FirstSortedOrder ,Rank
Incremental loads with sub routines for flow control
Slowly Changing Dimensions
Validate the data using different techniques
Create technical requirements and design sheet layout
(E) & (P) functions inside set analysis
The power of canonical calendars and their use
Geo Analytics with switchable metrics
Master Items e.g. Measures, Dimensions & Visualisations
Security e.g. Data Reduction
Mashups and data story telling
Migrate QlikView documents to Qlik Sense
Set Analysis - Simple to complex including date range expressions
Development using the D A R concept , common in enterprise solutions
Use the Qlik Sense visualisation bundle features
Understand the theory behind the scenes to fully appreciate Qlik Sense , explained in vivid detail
Code pre-aggregations and flags in your load script
Write efficient data load scripts
So much more is covered in this course beyond what is included in this list
Practice with assignment exercises to refine your skills
All recorded in HD 1080p with zoom in on code so you don't miss a thing

Requirements
QlikSense is a Windows based architecture hence a Windows PC is required (or use a VM/Docker running windows on a Mac)
All software and data downloads are provided for this course
Basic understanding of Excel and formula creation such as functions like Sum()
Basic understanding of SQL concepts (Although you are guided through this in the data load scripts we code)
Basic understanding of data (e.g. Data Types, Files, Database concepts)


Description
In this course I will guide and instruct you in real world Qlik Sense data analytics project development that will boost your skills and confidence to go for that job or promotion you really want or take on the certification exams. Either way you are guaranteed to learn more in this course than any other Qlik Sense course that is currently available anywhere.

This is the only course you need to become expert in developing Qlik Sense apps that will prepare you to take the Qlik Sense Data Architect (QSDA) and Business Analyst (QSBA) certifications !

"More than 50k organisations in more than 100 countries around the world depend on Qlik to help them drive smarter, faster decisions every day."

With Qlik Sense being so popular (used by > 50,000 companies) in the data analytics and data science world the time is right for you to get on board and become highly proficient and employable in this rapidly expanding world of business intelligence , data analytics and data science.

It's not just medium to large corporations deploying web and mobile apps for data analysis and data science outcomes; but also large government organisations & educational institutions world wide.

You can view the Qlik customer listing on their site and it's impressive! Can you picture yourself working for one of those companies ?

FAQ .

What if I don't want to do a certification right now?

No problem, this course is highly detailed so you will still become very competent in the development of Qlik Sense apps.

Can I learn at my own pace as my time is limited ?

You sure can as you have life time access 24/7 ! Just study to your schedule.

I've never used Qlik Sense will this course be too hard for me ?

If you like a challenge and follow the lectures carefully , code along then you will get to know Qlik Sense quickly and at your pace of learning.

What if the course is not for me ?

No problem ! You can get your money back with the Udemy 30 day refund offer - it's a win win proposition.

So what are your waiting for ?

Take action , sign up and invest in your self and your future !

Who this course is for
Desire to improve your career and salary potential
New to Qlik Sense and want to build robust , professional Qlik Sense apps
Looking to get certified and require economical and effective guidance in the Qlik Sense architecture & development space
Existing Qlik Sense developers looking to refresh their knowledge and get certified
Migrate your skills from QlikView to Qlik Sense
Done with other BI products not delivering and you want to switch to a platform used by over 50,000 companies globally
Desire to go beyond average to highly skilled and knowledgeable professional

Homepage

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Norwegian for Beginners: 16 Hour Norwegian Course [A1 to B1]

Norwegian for Beginners: 16 Hour Norwegian Course [A1 to B1]
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 12.7 GB | Duration: 16h 39m
Norwegian Course for Beginners - Learn Norwegian Language - Norwegian for Absolute Beginners. Master Norwegian Quickly


What you'll learn
The #1 Comprehensive Norwegian Course. Start speaking Norwegian like a native Norwegian speaker with this course!
Be able to talk about yourself, inquire about others, and communicate fluently in everyday scenarios (at the cafe, grocery shop, clothing store, etc). All in Norwegian!
Master key topics from beginner, intermediate, to advanced levels.
Improve your Norwegian listening comprehension skills with by training your ear, thanks to targeted Norwegian listening practices.
Reach your Norwegian language goals now, and be able to express yourself confidently in Norwegian.


Description
Course Highlights:

16+ Hours of video to teach you Norwegian

FULL HD Course

140+ Lessons total

Practice exercises after each video to solidify your Norwegian knowledge.

Norwegian course covering three levels: beginners (A1), intermediate (A2), advanced (B1)

In this Norwegian course, we cover these topics to help you master communicating Norwegian in any context: Norwegian pronunciation rules, Norwegian grammar rules, key vocabulary and phrases in Norwegian, everyday conversations in Norwegian, and other important communication skills so that you will be able to quickly master Norwegian and speak Norwegian whenever you need to. The teaching method in this course will help you learn Norwegian at a quicker pace, and be able to achieve your Norwegian language goals in as short of a time as possible.

This course starts from the absolute basics, and you will learn how to build on top of this knowledge until you reach an advanced level in Norwegian.

Course topics:

You will learn to introduce yourself in Norwegian

You will learn to talk about your hobbies and free time activities in Norwegian

You will learn how Norwegians make smalltalk

You will learn about asking how somebody is doing, in Norewgian

You will learn to describe various jobs and professions in Norwegian

You will use Norwegian to make plans with a friend and talk to friends

You will be able to use Norwegian to order food & drink at a cafe in Norway

You will be able to describe various common foods in Norwegian

You will be able to describe your family in Norwegian

You will be able to take public transport using your Norwegian knowledge

You will describe your morning and evening routines using Norwegian

You will use Norwegian to form apologies

You will be able to find your way around cities in Norway by learning to ask for directions in Norwegian

You will be able to talk about your vacation in Norwegian

You will be able to visit a clothing shop and speak in Norwegian

You will learn to shop for groceries and speak Norwegian

You will learn to talk about seasons & weather, using Norwegian

Immerse yourself with Norwegian, starting from the first lesson!

Right from the start, our Norwegian course will engage you in a realistic everyday dialogues in Norwegian, with plenty explanations to help you get a quick start to learning Norwegian. Our method to teach Norwegian doesn't require any additional resources like textbooks or dictionaries. This way of teaching Norwegian will allow you start speaking basic Norwegian in just a few hours. You will not have to memorize words in Norwegians, or scratch your head at complicated Norwegian grammar rules. We teach Norwegian grammar and Norwegian vocabulary in a structured manner, through our expertly designed Norwegian teaching methodology which slowly builds your Norwegian fluency step by step, until you are forming more complex sentences and thoughts in Norwegian.


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Microsoft Excel Masterclass - Introduction to Advanced

Microsoft Excel Masterclass - Introduction to Advanced
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.5 GB | Duration: 13h 9m

Master Excel Spreadsheets and Become An Expert At Charts, Tables, Formulas and Functions. Get Started today!


What you'll learn
Master Microsoft Excel from Beginner to Advanced.
Take your spreadsheet skills from ZERO to PRO with Charts, Tables, Formulas, Functions and many more.
Learn how to automatically link cells to streamline and revolutionise your workflow in Excel.
Get LIFETIME access to Excel tutorials taught by a professional trainer with 10+ years of Excel experience.
Create dynamic spreadsheets by mastering Excel's most popular features.
Create professional looking charts from your own computer.


Description
__________

Course Overview:

Are you looking to build your skills in using Microsoft Excel?

This course gives you a deep understanding of how to use some of the most popular features and functions in Excel. We will build you from a base skill level and assume you have no prior knowledge in using Microsoft Excel or its functions.

In this course we will cover Excel Introduction, Intermediate, Advanced and Formulas and Functions. Most lectures are 7 - 14 minutes long, with no lecture being over 20 minutes in length. Your trainer for this course, Richard Walters, is a Microsoft Certified Trainer who has been training Microsoft Excel for the past 10 years throughout the UK.

__________

Excel Introduction Outline:

The Excel Environment

Select and Highlighting Cells

Entering Information

Formatting Information

Modifying Information - Wrap Text and Merging Cells

Inserting/Deleting Columns and Rows

Save, Save As and Open

Find Opening and Closing Excel

Creating and Copying Formulas

Using BODMAS in Formulas

Absolute Cell Referencing

Using Functions - SUM, IF, COUNT, AVERAGE

AutoSum Features

Difference between Excel manual and automated calculations

Creating and Formatting Charts

Inserting, Moving and Deleting Worksheets

Grouping Worksheets

AutoFill Feature

Linking formulas between Worksheets

Freeze Panes

Print Area and Print Preview

__________

Excel Intermediate Outline

Paste special features

Charts and Formatting Charts

Conditional Formatting and Conditional Formulas

Security (adding protection)

Sub totalling information

Filtering and advanced filtering

Named cells, ranges and using names in formulas

Database functions

Linking formulas & functions

Mixed reference formulas

Auditing Formulas

Freeze Panes

Printing using freeze panes and Print Area

__________

Excel Advanced Outline

Advanced Charts and Linking Charts to Other Applications

Scenarios

Data Tables

Goal Seek

Data Validation

Pivot Tables

Formulas & Functions

Consolidated Formulas

Date Formulas and Functions

Referencing Formulas

Error Functions

Logical Functions (IF, AND, OR)

Nested Functions (IF, AND, OR)

Lookup Functions (VLookup, HLookup)

Mathematical Functions (Sumif, Sumifs)

Statistical Functions (Countif, Countifs, Averageif, Averageifs,
Countblank)

Text Functions (Trim, Left, Right, Mid, Concatenate)

__________

Excel Formulas and Functions Outline

Creating Date Formulas

Now

Day

Month

Year

Vlookup

Hlookup

Match and Index

IFError

IF

And


or

Not

IF, AND, OR

IF & Vlookup

IF & Sumif

Sumif

Sumifs

Countif

Countifs

Averageif

Averageifs

Countblank

DSum

DAdverage

DMax

DMin

Trim

Left

Right

Mid

Concatenate

__________

Excel Advanced Filtering and Pivot Tables

Multi Filters

Filtering by Colour

Custom Filters

Criteria Filtering (i.e. Greater Than, Less Than, Between, Not Equal To)

Multi Criteria Filtering (Advanced Filter)

Multi Criteria Filtering "In Place" and "Copy of another Location"

Designing and Creating a Pivot Table

Modifying a Pivot Table Layout

Updating a Pivot Table and using Pivot Table options

Managing Pivot Table Totals and Sub Totals

Grouping Pivot Table Data

Creating a Pivot Table using External Data

Filtering Pivot Tables using Slicers and Timelines

Pivot Table "Dashboards" using Slicers

Creating Multiple Pivot Tables on the same sheet

Consolidating Pivot Table Data

Pivot Table calculations

Pivot Table Report pages

Linking using the GETPIVOTDATA function

Creating Pivot Charts and Modifying Pivot Charts

Filtering Pivot Charts

__________

Excel Data Visualised and Data Formatting

Highlight Cell Values i.e. Find Duplicates

Top and Bottom Rules

Data Bars

Colour Scales

Icon Sets

Sum Function

Average Function

And / OR Functions

Formulas and Cell Referencing

Conditional Formatting Date Formulas

Now Function

Managing and Deleting Conditional Formatting Rules

Conditional Formatting and Data Validation

Conditional Formatting and Paste Special

Adding Conditional Formatting settings to empty cells

Conditional Formatting and Linked Data

Adding Sparklines

Formatting and Modifying Sparklines

Whether you're looking for a quick overview on some of Excel's most popular features trying to diversify your Excel skill set, or hoping to step up your spreadsheet game in a major way, you've come to the right place. In today's increasingly data-driven world, Excel makes it easy and intuitive to keep track of data sets. Enrol today and start your journey to becoming a Excel master!

See you there!

-Richard Walters (Microsoft Excel Trainer)


Who this course is for:
ANYONE who works with Excel on a regular basis (even if you've never used it before!)
Excel users who have basic skills but would like to become more proficient in using spreadsheets.
Students looking for a comprehensive, engaging, and highly interactive approach to training.


Homepage

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Mern Mean Stack With React, Angular,redux,ngrx In 2 Projects

Mern Mean Stack With React, Angular,redux,ngrx In 2 Projects
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 19 GB | Duration: 29h 50m

Learn how to build an ecommerce online course and online shop website using MERN & MEAN stack with React JS, Redux


What you'll learn
Learn React JS
Learn Angular
Know how to use MongoDB, Mongoose library
Learn setup NodeJS API Server using ExpressJS
Learn how to setup a MERN stack project from scratch with React JS v16, REDUX, NodeJS, Express JS, MongoDB, Mongoose, ElementReact UI
Learn how to setup a MEAN stack project from scratch with Angular 11, NgRx Store, Angular Material UI
Learn how to integrate CKEditor in ReactJS
Learn how to use ElementReact UI for buiding ReactJS UI Component
Learn how to use Angular Material UI for buiding Angular UI Component
Learn how to upload file using React JS & Angular and NodeJS (using Multer library)
Learn how to integrate Paypal checkout in React JS and Angular
Learn how to use POSTMAN to test API
Learn how to implement authentication and authorization using JWT (JSON Web Token), session cookie, local storage


Description
In this course you not only learn React JS, MongoDB basic knowledge but also learn how to build a complete "Ecommerce Online Course website" and "Online Shop" using MERN & MEAN stack from scratch.

You will learn many interesting techniques from this course:

+ How to setup a simple MERN stack project

+ How to setup a simple MEAN stack project

+ How to integrate CKEditor in your ReactJS

+ How to upload file in ReactJS & Angular and NodeJS (using Multer library)

+ How to integrate Paypal checkout

+ How to use ElementReact UI , Angular Material UI for building user interfaces with existed components for Button, Table, Tab,Upload.... and much much more components for NICE user interface

+ How to use Redux, NgRx Store for better state management in React JS, Angular

In this course you not only learn React JS, MongoDB basic knowledge but also learn how to build a complete "Ecommerce Online Course website" and "Online Shop" using MERN & MEAN stack from scratch.

You will learn many interesting techniques from this course:

+ How to setup a simple MERN stack project

+ How to setup a simple MEAN stack project

+ How to integrate CKEditor in your ReactJS

+ How to upload file in ReactJS & Angular and NodeJS (using Multer library)

+ How to integrate Paypal checkout

+ How to use ElementReact UI , Angular Material UI for building user interfaces with existed components for Button, Table, Tab,Upload.... and much much more components for NICE user interface

+ How to use Redux, NgRx Store for better state management in React JS, Angular


Who this course is for:
All students interested in MERN & MEAN stack (React JS,Angular, Redux, Ngrx Store, MongoDB, Mongoose, NodeJS, ExpressJS)


Homepage

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How to Retouch & Composite Product Photography

How to Retouch & Composite Product Photography
.TS | Video: h264, yuv420p, 1920x1080 | Audio: aac, 48000 Hz | Duration: 12h 35min | File Size: 17 GB
Genre: eLearning | Language: English

Capturing great product photos is only half the battle. In this tutorial, join Ross Floyd and Aaron Nace as they walk you through 10 professional product photo edits from start to finish. You will learn to cut out objects, create clean backgrounds, remove blemishes and distractions, sculpt and reshape products, and explore advanced techniques like frequency separation and dodging & burning. If you enjoyed this course, be sure to watch The Ultimate Guide to Product Photography! An in-depth look at how these images were captured by professional product photographer Ross Floyd.

31 Sample Images
1 Frequency Separation Photoshop Action
1 Sharpen Photoshop Action

Homepage

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Frontend system design interview guidance

Frontend system design interview guidance
Created by Manoj Satish Kumar | Last updated 5/2021
Duration: 3h 26m | 13 sections | 32 lectures | Video: 1280x720, 44 KHz | 5.04 GB
Genre: eLearning | Language: English + Sub

Prepare for system design round and become a UI architect.



What you'll learn
Prepare for Frontend system design interview round
Choose Minimum Viable Product (MVP)
Know the aspects interviewers look at for UI architect role
Know how to collaborate with product managers in the team
Learn to participate in product roadmap discussions
Learn about the web performance considerations as an architect
Realize the importance of accessibility
Decide future product roadmap
BONUS - Javascript Bootcamp

Requirements
You don't need any specific skills to take this courseBut you will be benefited if you are already a software engineer.

Description
Hello,
This course is about what to expect in a Frontend system design round in Big companies and what are the key points interviewers look at when they assess your design skills.
This session is applicable for junior to senior software engineers and those who are looking for a promotion / higher-level role. At some point, you will be assessed for your system design skills. So it is crucial to know what is the acceptance criteria. This will help you prepare better and increase your chances of clearing the round.
\n
Note: This session does NOT cover backend system design. This is frontend UI only.
\n
CONTENTS
1. Platform selection.
2. User & data flow.
3. SPA decision.
4. Business vs UI logic.
5. API thought process.
6. Performance tuning techniques.
7. Smooth operation techniques.
8. Versioning artefacts.
9. Governance.
10. i18n, a11y.
11. Quality control techniques
12. Volume of operation.
13. MVP discovery & selection.
14. Real-time data monitoring
15. Future roadmap
\n
We will also look at an exercise for designing a given application.
\n
\n
\n
ABOUTTHEINSTRUCTOR
\n
My name is Manoj Satish Kumar ( MSK )
\n
After attending 30+ interviews and getting selected in 15+ companies, I have got the right data points to guide you in this session.
I am also an interviewer and I have selected 30+ candidates in my software engineering career.
\n
I have a decade of experience in building professional websites and front-end applications. I have worked both in startups and giant companies. I'm here to help you become a successful front-end web developer and help you crack those front-end interviews. I started out as a software engineer and slowly realized that I have a passion to teach. My mother was a mathematics teacher and I'm following her footsteps - except that I teach web development.
\n
I feel obligated to build front-end interfaces of supreme quality.
I love the javascript ecosystem and I have designed & developed multiple products in my career.
\n
I love talking about Programming, Astrophysics, Art, Space science, Philosophy & Spirituality.
I have the thirst to understand what the universe is made of, the existential reality & the design around us.
\n
I have worked in E-Commerce, Healthcare & Semi-conductor industries.
I have hands-on experience in Javascript, React, Redux, Material UI, Node, Express & GraphQL.
\n
I have travelled to New York, New Jersey, Kansas City, Singapore & Europe.
I'm residing in Bangalore, India
\n
I founded MSK Web development with the goal of helping frontend engineers get jobs.
\n
Warm regards,
Manoj
\n

Who this course is for:Software engineersFrontend developersSenior software engineers

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Digital Marketing 32 in 1 Course (Master Online Advertising) (Updated 02/2021)

Digital Marketing 32 in 1 Course (Master Online Advertising) (Updated 02/2021)
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 12.6 GB | Duration: 23h 35m

Practical explanations with valuable tips and advice on how to accomplish efficient online marketing goals


What you'll learn
How to effectively set up and publish online campaigns on different platforms


Description
Everything you need to know about Marketing in the Digital era (23 in 1 course)

Just take a look at the titles of each section! Here you are going to learn a lot of new things about Google, YouTube, Facebook, Instagram, LinkedIn, Twitter, Reddit, Snapchat Marketing. Moreover, we will talk about SEO, ASO, split testing, email marketing, video marketing, content marketing, affiliate marketing, referral programs, social media strategy, GDPR for marketers, copywriting, podcasting... We will also take a look at Google Analytics and connecting your Shopify store to the Facebook page. After this course, you will be able to design, set up and test your own different types of ad campaigns and perform online marketing throughout different platforms.

Digital Marketing 101 (lectures):

Introduction

Difference between Marketing and Advertising

Digital Marketing & Online Marketing & E-marketing

Social Media Marketing & Email Marketing & Affiliate Marketing

SEM & SEO

Inbound Marketing & Outbound Marketing & Content Marketing

Native Advertising & Geo marketing

Video Marketing & Mobile Marketing

Viral Marketing & Influencer Marketing

AR Marketing & VR Marketing

Thank you

Facebook Ads (lectures):

Introduction and course description

How does an ad look like and what is it

Ads Manager interface explained

Types of campaigns

Setting up the campaign (Ad Set)

Setting up the campaign (Ad)

Reports and metrics

Instagram growth (lectures):

How to grow your Instagram account

The significance of the Explore page

Profile and content tips

Power likes and Engagement groups

Things to avoid (most important DON'Ts)

Automation in short & the Mother-child method

Instagram Ads (lectures):

Introduction and course description

Instagram's overview and some statistics

Tips for building your Instagram page

Where to start and one important condition

How to set up an Instagram campaign

Different ad sizes and recommendations

Google Ads (lectures):

Introduction and course description

What is Google Ads

Ad examples on Google

Google Ads' interface explained

Types of goals and campaigns

How to set up a Google Search Ad

How to set up a Google Display Ad

How to set up a YouTube Ad

Overview of Google campaigns (metrics and reports)

How to use Google Trends tool

How to use Google Alerts tool

How to preview your ads

Different types of keywords (important to know)

How to use Google Keyword Planner

Negative keywords explained

How to create a negative keyword list

Important to know about negative keywords

Snapchat Ads (lectures):

Introduction and course description

Snapchat's overview and some statistics

How to find Snap Ads Manager and its interface explained

Overview of the advanced mode in Ads Manager

Creating the campaign (with Snap Ad)

Creating the campaign (with Story Ad)

Creating the campaign (with Collection Ad) and Filter explained

Facebook Ads vs Google Ads - which platform to choose? (lectures):

Introduction

Examples of Facebook Ads

Examples of Google Ads

Facebook Ads vs Google Ads part 1

Facebook Ads vs Google Ads part 2

Final words

Summary conclusion

Canva graphic tool explained (lectures):

What is Canva

Canva's home interface

How to design part 1

How to design part 2

How to export and different options

How to choose the proper fonts (lectures):

Typeface and Font difference

Serif fonts explained

Sans Serif fonts explained

Script fonts explained

Display fonts explained

IL1 test

How to choose the best font (advice)

Where to download the fonts

Online advertising metrics explained (lectures):

Introduction

Cost Per Metrics (CPC, CPA, CPM. CPL, CPE...)

CPL, CPA, CPI, and Effectiveness explained

CTR, CR, ROI, and IR

Video Metrics (CPV, CPM, CTR, View Rate, Watch time...)

Important Marketing Terms & Conversion vs Conversion Value explained

Conclusion

YouTube Ads (lectures):

Introduction

Skippable in-stream ads explained

Non-skippable in-stream ads explained

Discovery (TrueView) ads explained

Bumper ads explained

Outstream ads explained

Sequence ads explained

Non-video ad formats explained

How to link your YouTube account with Google Ads

How to set up a YouTube campaign (step by step) part 1

How to set up a YouTube campaign (other video formats) part 2

A/B split testing for Facebook Ads & Google Ads explained (lectures):

What is split testing

Examples of split testing ads

Why is A/B testing so powerful

Important split testing rules

Ideas for Facebook and Google A/B testing

A most important rule for ad testing (rule #2 from the previous video explained)

Case study #1 (placement testing)

Case study #2 (delivery optimization testing)

Case study #3 (audience and ad creative testing - 2 variables)

Case study #4 Google Ads (demographics and ad variation tool)

Case study #5 Google Ads (test different parameters)

Facebook Lead Ads for Local Business (lectures):

What are the lead ads and how do they work

How to set up the lead ads for a local business (ad set level) part 1

How to set up the lead ads for a local business (ad level) part 2

How to set up the lead ads for a local business (form creation) part 3

Where can you find the collected data

Facebook Lead Ads vs Facebook Conversion Ads

Video Marketing (lectures):

Definition and benefits

10 different video types

Video type examples

How to get started with video marketing (10 steps)

Where to distribute the video

How to improve the SEO with videos

Powerful video tips

Which software to use for video editing (short overview)

Tips on how to create a great thumbnail

Video keyword research

Important video metrics

SEO for Small Businesses (lectures):

What is SEO and what is a small business

Most important SEO tips for small business

Logical website structure

Google Search Console & Bing Webmaster Tools

Google My Business page - why and how

Keyword research and long-tail keywords

Page title and Meta description

Common technical SEO problems

Links from business partners

SEO - Search Engine Optimization (lectures):

What is SEO

How does PageRank work

On-page factors explained (powerful SEO tips)

Off-page factors explained

E-A-T concept explained

What is the Answer Box and how to appear there

SEO tips (things to avoid)

Local SEO tips

How to Optimize for Voice Search

SEO tools (short overview)

Reddit Ads (lectures):

What is Reddit

How big is Reddit

Types of Reddit Ads

Video Ads explained

Reddit Ads Manager explained

Billing settings and managing accounts

Different objective types explained

How to set up the Reddit campaigns

Things to have in mind

Twitter Ads (lectures):

Introduction to Twitter

How to make your Twitter Page stand out

Which content to use on Twitter

How to access and create an account

Twitter Ads Interface Explained

How to set up a Twitter campaign step-by-step guide

Most Important Tips

What is the ideal Tweet length

How to use the Advanced search

Social Media Strategy (lectures):

What is a social media strategy and why is it important

Define social media marketing goals (step 1)

Learn everything you can about your audience - create a buyer persona (step 2)

Research your competition (step 3)

Determine which networks to use and how (step 4)

Set up and optimize your accounts (step 5)

Choose your core piece of content format (step 6)

Determine the best time to post (step 7)

Best timings to post on different social media (overview of the research)

Create a posting schedule (step 8)

Try to connect with the key influencers (step 9)

Build the cross-functional team (step 10)

Key points on how to improve your existing strategy

A list of all 10 steps summarized

Shopify store and Facebook ads (lectures):

Introduction video

How to add a Facebook pixel to the Shopify store

What is Business Manager and why should you use it

How to create a Facebook catalog and add products from Shopify

How to create a catalog sales campaign (ad set level)

How to create a catalog sales campaign (ad level)

How to set dynamic creative ads within the traffic objective campaign

GDPR for Digital Marketers (lectures):

What is GDPR and why is it important

What is considered to be personal data

What does GDPR cover

Examples of the things you are not able to do anymore

3 key areas of GDPR

Data permission (key area #1 of GDPR)

Data access (key area #2 of GDPR)

Data focus (key area #3 of GDPR)

Difference between Data Controller and Data Processor

What does GDPR mean for pixels, cookies, and tracking codes

What if you acquire a personal data list

Business cards and phone calls

Facebook and LinkedIn lead ads (& lead ads in general)

Tips to implement GDPR

Advantages of GDPR

Important disclaimer

Copywriting (lectures):

What is copywriting

General guide on how to write a great ad copy

Mirror the visitor's end goal (tip 1)

Make things personal (tip 2)

Integrate text and visual, Use simple English & Test (tip 3, 4, 5)

Implement FOMO (tip 6)

Invest in the headlines (tip 7)

Create a curiosity gap (tip 8)

Surprise your audience & Use numbers (tip 9, 10)

What are the Power Words

Top 5 words in English

Types of Power Words and their lists

Additional Power Words and explanations

This, What, When, Which, Why & How explained

Power Words for CTA

Google Analytics (lectures):

Introduction

How to set up a Google Analytics account

How to set up Conversion Goals

Google Analytics basic terms explained

Home section explained

Customization section explained

Real-time reports explained

Audience reports explained

Acquisition reports explained

Behavior reports explained

Conversions reports explained

Two often misconceptions

Google Analytics Settings explained

LinkedIn Ads (lectures):

Introduction (LinkedIn in numbers)

How to access LinkedIn Campaign Manager

How to create an account

LinkedIn Campaign Manager settings explained

How to create a campaign group

How to set up a campaign

How to set up an ad

Different objectives and ad formats explained

How to set up the Insight Tag and check the performance

Email Marketing (lectures):

What is Email Marketing and why you should use it

Basic steps of Email Marketing

How to set up Gmail Ads in Google Ads

Important subject line elements to catch attention

Guideline on how to write the best headlines

Important rules to have in mind

How to build an email list

Important advice when building an email list

How often to get in touch with your audience

Email Marketing metrics

Email Marketing automation

Content Marketing for Beginners (lectures):

Introduction

Where to start and how to stay up to date with the content

How to use Google Alerts

The Advantages of Content Marketing

4 Important Content Marketing Tactics

Where to distribute your content

Tools for Content Marketing

Affiliate Marketing (lectures):

What is affiliate marketing

Who are the key players (3+1 segments)

How the affiliate program works

How to start with the affiliate marketing (merchant's perspective)

How to start with the affiliate marketing (affiliate's perspective)

How do affiliates get paid

Commission rates - Things to know

Pros vs cons of being an affiliate

Pros vs cons of using the affiliate programs as a merchant

Affiliate marketing vs Dropshipping

Affiliate programs vs Referral programs

How to become a successful affiliate marketer

Common types of affiliate marketing channels

Referral Programs (lectures):

What is a referral program

Referral program vs affiliate program

What makes a good referral program

How to build a successful referral program

Famous examples of the viral referral programs

Benefits of the referral programs

Surveys (lectures):

Introduction

Difference between surveys, questionnaires and polls

7 steps on how to conduct an online survey

Types of survey questions

Different levels of rating scale explained

13 quick tips for conducting successful surveys

Survey tools (overview)

How to distribute the online survey

Paid online surveys explained

ASO - App Store Optimization (lectures):

What is App Store Optimization and why it matters

The difference between ASO and SEO

The difference between App Store and Google Play Store

On metadata vs Off metadata factors

Importance of the Keywords

Google Play Store ASO elements

Google Play Store Ads (short overview)

App Store ASO elements

Apple Store Search Ads (short overview)

Importance of the A/B testing

Podcasting (lectures):

What is podcasting

Why is podcast so popular

How to start your own podcast

About the name, length and audience for the podcast

Podcast formats/types

Distribution - podcast hosting services

Distribution - podcast directories

How to monetize the podcast

8 most important tips to grow your podcast

7 recording tips and tricks

Google Search Operators (lectures):

Introduction

How does Google Search with operators work?

6 basic operators to understand

Key things to know (coolest hacks and tricks)

Google Advanced Search

Google Search Operators in Online Marketing


Who this course is for:
People interested in promoting their social media page or website and those who want to learn to make Google, Facebook, Instagram and Snapchat ad campaigns and also use Canva graphic design creator


Homepage

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Data Science - End 2 End Beginners Course Part 1

Data Science - End 2 End Beginners Course Part 1
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 11.0 GB | Duration: 22h 44m

Machine Learning & Data Analytics- Python, Pandas, Maths, Statistics, Probability, Regression, Classification,Clustering


What you'll learn
Part 1 is a Beginner's course that covers Machine Learning and Data Analytics
Objective is to teach students how to do an End-2-End data science project
From problem definition, data sourcing, wrangling, modelling, analyzing and visualizing to deploying and maintaining
Part 1 will cover all the basics required for building machine learning models - programming, analytics, maths, process, algorithms and deployment
It will provide full maths and logic details for all algorithms
Programming (python) and Data analytics (pandas)
Maths, Statistics and Probability basics required for understanding the different algorithms
Data Science Process - Problem, Wrangling, Algorithm Selection, Model Building , Visualization, Deployment
Data Wrangling
Build Machine Learning models - Supervised & Unsupervised algorithms using Regression, Classification & Clustering
How to Visualize and Evaluate models
Model Persistence and Deployment using joblib and flask, Deploying on AWS Cloud using S3 and Elastic Beanstalk, Using AWS Sagemaker
End 2 End Project - Building a RoboAdvisor - multi-asset portfolio using global assets and macroeconomic data
Detailed python code and data is provided to explain all concepts and algorithms
Use popular libraries like scikit-learn, xgboost, numpy, matplotlib, seaborn, joblib, flask, etc


Description
This is a Beginner's course that covers basic Machine Learning and Data Analytics concepts

The Objective of this course is to teach students how to do an End-2-End data science project

From Problem definition, data sourcing, wrangling and modelling

To analyzing, visualizing and deploying & maintaining the models

It will cover the main principles/tools that are required for data science

This course is for anyone interested in learning data science - analyst, programmer, non-technical professional, student, etc

Having seen available data science courses and books, we feel there is a lack of an End 2 End approach

Quite often you learn the different algorithms but don't get a holistic view, especially around the process and deployment

Also, either too much or limited mathematical details are provided for different algorithms

The course will cover all the basics in programming, maths, statistics and probability required for building machine learning models

Throughout the course detailed lectures covering the maths and logic of the algorithms, python code examples and online resources are provided to support the learning process

Students will learn how to build and deploy machine learning models using tools and libraries like anaconda, spyder, python, pandas, numpy, scikit-learn, xgboost, matplotlib, seaborn, joblib, flask, AWS Cloud S3, Elastic Beanstalk and Sagemaker

More details are available on our website - datawisdomx

Course material including python code and data is available in github repository - datawisdomx, DataScienceCourse


Who this course is for:
This course is for anyone interested in learning data science
From beginners to intermediate level users
Analyst, programmer, non-technical professional, student, etc
Data Analysts, Machine Learning engineers, Data Engineers, Business Analysts who want to become Data Scientists


Homepage

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Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

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Englische Tutorials

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