WingFox - Independence Day - Production procedure of a movie VFX scene using Houdini



WingFox - Independence Day - Production procedure of a movie VFX scene using Houdini
Video: MPEG4 Video (H264) 1920x1080 29.97fps 6031kbps | Audio: AAC 48000Hz stereo 317kbps
Genre: eLearning | Duration: 10hrs+ | Language: English | File size: 13.8 GB

Content: 1080P HD videos + project files
Duration: 10hours
Software: Houdini 18 ; Maya ; Nuke ; AE
System: No limits
Project file: Model assets ; reference pictures ; materials files.
English dubbing by Wingfox Studio

Homepage

Acloud Guru - AWS Certified SysOps Administrator - Associate



Acloud Guru - AWS Certified SysOps Administrator - Associate
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 179 Lessons (18h 57m) | Size: 11.4 GB

This course is designed to prepare students for the AWS Certified SysOps Administrator - Associate exam (SOA-C02). Hello Cloud Gurus!

We designed this cloud certification training for anyone interested in learning to deploy, manage, and operate scalable, highly available, and fault tolerant systems on Amazon Web Services. By the end of the course, you'll be prepared to pass the newly-released associate-level AWS Certified SysOps Administrator exam.

The course begins with an overview of monitoring and reporting in AWS and moves on to deployment and provisioning, high availability, storage and data management, security and compliance, and networking. Then, we'll finish the course with a look at the automation of systems on AWS.

The main technologies covered in this course include: CloudWatch, Elastic Load Balancer, EC2, RDS, VPC, Network ACLs, Security Groups, DDOS, S3, KMS, IAM, Systems Manager, Route53, Direct Connect, and CloudFormation.

This is not an introductory course: We recommend taking this course only after clearing the AWS Certified Solutions Architect - Associate exam OR having worked as an AWS SysOps Administrator for at least one year.

We know that you're busy, so our training course is made up of 5-20 minute videos that can be viewed at your convenience. Our video lessons keep it simple and explain things clearly and succinctly. Together we'll walk you through each of the major operational areas of Amazon Web Services, step by step. Using real life examples, we will practice how to operate and maintain systems running on AWS. At the end of each section, we'll also test your knowledge with short quizzes to make sure you'll be ready for the exam.

The ideal student for this course is ready to quickly break into cloud computing. You don't want hours to spend on training, so we get you up to speed quickly and efficiently. This course will prepare you for a position as a qualified AWS SysOps Administrator.

At the end of this course, you will be able to confidently sit the associate-level AWS SysOps Administrator exam, and earn one of the highest paying certifications in the industry.

The average salary for AWS-certified IT staff is 27.5 percent higher than the norm.

The average salary for those holding the AWS Certified SysOps Administrator - Associate certification is $111,966.

Homepage

20 Data Science & Machine Learning Projects Masterclass 2021



20 Data Science & Machine Learning Projects Masterclass 2021
Duration: 14h 7m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | Size: 7.04 GB
Genre: eLearning | Language: English

Learn development & deployment of Machine Learning and Data Science web application projects with python on heruko cloud



What you'll learn:
Students Will Understand What Is Machine Learning
Why They Need To Learn Machine Learning
Deployment Of Data Science Applications
Build Data Science Models

Requirements:
Knowledge Of Data Science

Description:
Data science is the field of applying advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. It's increasingly critical to businesses: The insights that data science generates help organizations increase operational efficiency, identify new business opportunities and improve marketing and sales programs, among other benefits. Ultimately, they can lead to competitive advantages over business rivals.
Data science incorporates various disciplines - for example, data engineering, data preparation, data mining, predictive analytics, machine learning and data visualization, as well as statistics, mathematics and software programming. It's primarily done by skilled data scientists, although lower-level data analysts may also be involved. In addition, many organizations now rely partly on citizen data scientists, a group that can include business intelligence (BI) professionals, business analysts, data-savvy business users, data engineers and other workers who don't have a formal data science background.
This comprehensive guide to data science further explains what it is, why it's important to organizations, how it works, the business benefits it provides and the challenges it poses. You'll also find an overview of data science applications, tools and techniques, plus information on what data scientists do and the skills they need. Throughout the guide, there are hyperlinks to related Tech Target articles that delve more deeply into the topics covered here and offer insight and expert advice on data science initiatives.
Why is data science important?
Data science plays an important role in virtually all aspects of business operations and strategies. For example, it provides information about customers that helps companies create stronger marketing campaigns and targeted advertising to increase product sales. It aids in managing financial risks, detecting fraudulent transactions and preventing equipment breakdowns in manufacturing plants and other industrial settings. It helps block cyber attacks and other security threats in IT systems.
From an operational standpoint, data science initiatives can optimize management of supply chains, product inventories, distribution networks and customer service. On a more fundamental level, they point the way to increased efficiency and reduced costs. Data science also enables companies to create business plans and strategies that are based on informed analysis of customer behavior, market trends and competition. Without it, businesses may miss opportunities and make flawed decisions.
Data science is also vital in areas beyond regular business operations. In healthcare, its uses include diagnosis of medical conditions, image analysis, treatment planning and medical research. Academic institutions use data science to monitor student performance and improve their marketing to prospective students. Sports teams analyze player performance and plan game strategies via data science. Government agencies and public policy organizations are also big users.


Who this course is for:
Beginners In Data Science

Homepage

Data Science Masterclass 2021: Build 20 Real World Projects



Data Science Masterclass 2021: Build 20 Real World Projects
Duration: 12h 24m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | Size: 6.8 GB
Genre: eLearning | Language: English

Learn To Develop & Deploy Machine Learning, Data Science, Deep Learning Projects With Python On Heruko Cloud



What you'll learn:
Build Data Science Models
Deployment Of Data Science Applications
Data Science Practical Applications
Why They Need To Learn Data Science

Requirements:
Knowledge Of Data Science

Description:
Data science is centered on building, cleaning, and organizing datasets. Data scientists create and leverage algorithms, statistical models, and their own custom analyses to collect and shape raw data into something that can be more easily understood.
Data scientists lay the groundwork for all of the analyses an organization performs. They do this by performing key functions, including:
Data wrangling: The process of cleaning and organizing data to be more readily used.
Statistical modeling: The process of running data through different models-such as regression, classification, and clustering models, among others-to identify relationships between variables and gain insight from the numbers.
Programming: The process of writing computer programs and algorithms in a variety of languages-such as R, Python, and SQL-that can be used to analyze large datasets more efficiently than through manual analysis.
While it's unlikely you'll need to perform any of these duties in your job unless you're specifically hired as a data scientist, data science still holds value for business professionals. Familiarizing yourself with the concepts, terminology, and techniques used by data scientists on your team can empower you to better communicate with these important professionals and give you a firmer understanding of what insights are and aren't possible to glean from the data.
Additionally, a proficiency in key data science skills can enable you to assess and draw insights from your organization's data-increasing the value you bring to your organization while reducing your reliance on others. Developing your data science skills can allow you to:
Identify and avoid mistakes that commonly arise while interpreting datasets, metrics, and visualizations
Embrace data-driven decision-making and ensure your business decisions are backed by numbers
Form hypotheses, run experiments, and gather evidence that empowers you to recognize business challenges and solutions
Understand market size, buyer trends, competition, and opportunities and risks your business faces


Who this course is for:
Beginners In Data Science

Homepage

Build 20 Real World Data Science & Machine Learning Projects



Build 20 Real World Data Science & Machine Learning Projects
Last Update: 7/2021
Duration: 13h 4m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 7.21 GB
Genre: eLearning | Language: English

Learn To Build Machine Learning, Data Science, Deep Learning, NLP Projects With Python Course


What you'll learn:
Build Best Performing Machine Learning Models
Have a great intuition of many data science models
Make robust data science models
Learn how to build data science models

Requirements:
Knowledge of data science

Description:
Data science is the field of applying advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. It's increasingly critical to businesses: The insights that data science generates help organizations increase operational efficiency, identify new business opportunities and improve marketing and sales programs, among other benefits. Ultimately, they can lead to competitive advantages over business rivals.
Data science incorporates various disciplines -- for example, data engineering, data preparation, data mining, predictive analytics, machine learning and data visualization, as well as statistics, mathematics and software programming. It's primarily done by skilled data scientists, although lower-level data analysts may also be involved. In addition, many organizations now rely partly on citizen data scientists, a group that can include business intelligence (BI) professionals, business analysts, data-savvy business users, data engineers and other workers who don't have a formal data science background.
This comprehensive guide to data science further explains what it is, why it's important to organizations, how it works, the business benefits it provides and the challenges it poses. You'll also find an overview of data science applications, tools and techniques, plus information on what data scientists do and the skills they need. Throughout the guide, there are hyperlinks to related Tech Target articles that delve more deeply into the topics covered here and offer insight and expert advice on data science initiatives.
Why is data science important?
Data science plays an important role in virtually all aspects of business operations and strategies. For example, it provides information about customers that helps companies create stronger marketing campaigns and targeted advertising to increase product sales. It aids in managing financial risks, detecting fraudulent transactions and preventing equipment breakdowns in manufacturing plants and other industrial settings. It helps block cyber attacks and other security threats in IT systems.
From an operational standpoint, data science initiatives can optimize management of supply chains, product inventories, distribution networks and customer service. On a more fundamental level, they point the way to increased efficiency and reduced costs. Data science also enables companies to create business plans and strategies that are based on informed analysis of customer behavior, market trends and competition. Without it, businesses may miss opportunities and make flawed decisions.
Data science is also vital in areas beyond regular business operations. In healthcare, its uses include diagnosis of medical conditions, image analysis, treatment planning and medical research. Academic institutions use data science to monitor student performance and improve their marketing to prospective students. Sports teams analyze player performance and plan game strategies via data science. Government agencies and public policy organizations are also big users.


Who this course is for:
Beginners in data science

Homepage

Arduino - Programming and Interfacing



Arduino - Programming and Interfacing
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 35 lectures (9h 54m) | Size: 7.25 GB

Arduino UNO based programming

What you'll learn:
Working of input devices, output devices and sensors
Interfacing of input devices, output devices and sensors with Arduino
Programming of Arduino and Interfacing of input devices, output devices and sensors with Arduino

Requirements
Self interest to learn Arduino programming


Description
After completion of this course learners will be able to:

(1) Understand various hardware features of the Arduino UNO board.

(2) Understand various features of Integrated Development Environment (IDE) software used for the development of software.

(3) Understand how to download and use the Arduino IDE for the development of software.

(4) Understand some features of Atmega 328 microcontroller.

(5) Understand the structure of the Arduino program.

(6) Understand various functions that can be used while writing the Arduino program.

(7) Understand the working principle and function of various pins of output devices such as LED, Seven Segment Display, Liquid Crystal Display.

(8) Understand the working principle and function of various pins of Switch, Keypad Matrix, Potentiometer, and Analog to Digital Converter IC.

(9) Understand the working principle and function of various pins of Temperature Sensor (LM35), Humidity and Temperature Sensor (DHT11), Light Dependent Register, Touch Sensor, Optical Sensor, etc.

(10) Demonstrate the interfacing and programming of LED, Seven Segment Display, Liquid Crystal Display with Arduino UNO board.

(11) Demonstrate the interfacing and programming of Switch, Keypad Matrix, and Potentiometer with Arduino UNO board.

(12) Understand the working principle and function of various pins of the Relay Board.

(13) Demonstrate the interfacing and programming of Relay Board with Arduino UNO board to control high voltage devices.

(14) Demonstrate the interfacing and programming of Temperature Sensor (LM35), Humidity and Temperature Sensor (DHT11), Light Dependent Register, Touch Sensor, Optical Sensor with Arduino UNO board.

Who this course is for
Who are interested to interface input/output devices and sensors with Arduino and develop the software to get desired result

Homepage

30 Real World Data Science, Machine Learning Projects 2021



30 Real World Data Science, Machine Learning Projects 2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 177 lectures (21h 11m) | Size: 10.2 GB

Learn To Build & Deploy AI, ML, DS, Deep Learning, NLP Web Apps With Python Projects Course(Flask, Django, Heruko Cloud)

What you'll learn:
Students Will Understand What Is Machine Learning
Why They Need To Learn Machine Learning
Difference Between Machine Learning, Deep Learning, Artificial Intelligence
What Are The Applications Of Machine Learning

Requirements
Enthusiasm To Learn New Things


Description
Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Artificial Intelligence, Machine Learning, Data Science , Deep Learning, Natural Language Processing (NLP) Web Applications Projects With Python (Flask, Django, Heruko, Streamlit Cloud).

How much does a Data Scientist make in the United States?

The national average salary for a Data Scientist is US$1,20,718 per year in United States, 2.8k salaries reported, updated at July 15, 2021 (source: glassdoor)

Salaries by Company, Role, Average Base Salary in (USD)

Facebook Data Scientist makes US$1,36,000/yr. Analysed from 1,014 salaries.

Amazon Data Scientist makes US$1,25,704/yr. Analysed from 307 salaries.

Apple Data Scientist makes US$1,53,885/yr. Analysed from 147 salaries.

Google Data Scientist makes US$1,48,316/yr. Analysed from 252 salaries.

Quora, Inc. Data Scientist makes US$1,22,875/yr. Analysed from 509 salaries.

Oracle Data Scientist makes US$1,48,396/yr. Analysed from 458 salaries.

IBM Data Scientist makes US$1,32,662/yr. Analysed from 388 salaries.

Microsoft Data Scientist makes US$1,33,810/yr. Analysed from 205 salaries.

Walmart Data Scientist makes US$1,08,937/yr. Analysed from 187 salaries.

Cisco Systems Data Scientist makes US$1,57,228/yr. Analysed from 184 salaries.

Uber Data Scientist makes US$1,43,661/yr. Analysed from 151 salaries.

Intel Corporation Data Scientist makes US$1,25,930/yr. Analysed from 131 salaries.

Airbnb Data Scientist makes US$1,80,569/yr. Analysed from 122 salaries.

Adobe Data Scientist makes US$1,39,074/yr. Analysed from 109 salaries.

In This Course We Are Going To Work On 30 Real World Projects Listed Below:

Project-1 Pan Card Tempering Detector App (With Deployment)

Project-2 Dog breed prediction Flask App

Project-3 Image Watermarking App (With Deployment)

Project-4 Traffic sign classification

Project-5 Text Extraction From Images App

Project-6 Plant Disease Prediction App (With Deployment)

Project-7 Counting & Detecting Vehicles Flask App

Project-8 Face Swapping Deep Learning Application

Project-9 Bird Species Prediction App

Project-10 Intel Image Classification App

Project-11 Sentiment Analysis App (With Deployment)

Project-12 Attrition Rate Django App

Project-13 Pokemon Dataset App (With Deployment)

Project-14 Face Detection App Streamlit

Project-15 Cats Vs Dogs Classification App

Project-16 Customer Revenue Prediction App (With Deployment)

Project-17 Gender From Voice Prediction App

Project-18 Restaurant Recommendation System

Project-19 Happiness Ranking App

Project-20 Forest Fire Prediction App

Project-21 Black Friday Sale Prediction

Project-22 Sentiment Analysis Using Natural Language Processing

Project-23 Parkinson Syndrome Prediction

Project-24 Fake News Classifier Using NLP

Project-25 Toxic Comment Classifier Using NLP

Project-26 Movie Ratings Prediction (IMDB) Using NLP

Project-27 Air Quality Prediction

Project-28 Covid-19 Case Analysis

Project-29 Customer Churning Prediction

Project-30 Building A Chatbot Application (NLP)

The Only Course With 30 Real World Projects In Data Science Domain.

Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.

Who this course is for
Machine Learning Enthusiasts

Homepage

The Ultimate Hands-On Lightning Web Component



The Ultimate Hands-On Lightning Web Component
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.81 GB | Duration: 17h 5m



What you'll learn
What is Lightning Web Component framework?
LWC Fundamentals
Javascript Fundamentals (including ES6 features)
Integration in Lightning Web Components
Reusability of LWC Components
Styling technique in LWC
SLDS - Salesforce Lightning Design System
Third Party Libraries in LWC
Lightning Navigation Service
Lightning Messaging Service
Calling Salesforce Apex in LWC
LWC and Aura Interoperability
Rent A Car Project Built with LWC
Over 15 Projects
LWC Crash Course
Testing LWC
Lightning Quick Action and Lightning Tab

Requirements
Basic understanding of Salesforce Apex and SOQL is preferred


Description
LWC framework is a new programming model to develop Salesforce Lightning Components. This course is designed to help you understand three basic things:

What are Lightning Web Components?

Why Salesforce has introduced the Lightning web component framework?

How can you develop Lightning web components?

If you are preparing for your next job interview or next project and do not have enough time to go through the entire course? Don't you worry, because I have included an LWC Crash course video in the course which can help you learn all the fundamentals of LWC in just 100 minutes. Amazing, isn't it?

The course will mainly focus on Custom Lightning Web Component development. With the help of code by code mini examples and major projects, you can master this framework in no time. In the course, we will learn-

LWC Fundamentals

Complete Javascript Tutorials (including ES6 features and JS Fundamentals)

Complete Tutorials on SLDS - Salesforce Lightning Design System

Basics of SFDX - Push, Pull, Retrieve and Deploy Your Code

Integration in LWC (Make dynamic callout, parse the response etc)

How to develop components locally - Local Dev Server

Base Lightning Component

Looping in LWC

Conditional Rendering in LWC

Component Lifecycle

Styling LWC components with CSS

Component Communication - Custom Events, Lightning Messaging Service, PubSub module, Properties

Calling Salesforce Apex from LWC - Wire Service, Rest Callout, Imperative Call to Apex Methods

Navigation Service in LWC

Aura and LWC Interoperability

Testing Lightning Web Components

and much more including new and updated videos on new features

LWC is still new in the market and learning LWC can make you a Salesforce gem and can give your resume another dimension.

If you are new to any web development framework, please do not worry as the course will start from very basic (ground 0) to help you understand how can you start coding web components (and even before that, you will learn all the fundamentals of Javascript). If you already have hands on in any Web Development frameworks, then this course will definitely be a major plus to your skills as it primarily focuses on learning modern web standard, building ECMA script modules and developing UI components.


Who this course is for:
Salesforce Professionals
UI and UX developers
Experienced Professionals
Salesforce Developers and Admins
Students and Fresh Graduates

Homepage

The Complete Persian Language Course with Weekly Meeting



The Complete Persian Language Course with Weekly Meeting
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 53 lectures (5h 37m) | Size: 7.4 GB

Learn Farsi - Learn Persian - Farsi Language Teaching TPRS Method, Audio Submissions and Real-Time Story by Native

What you'll learn:
Persian/Farsi Listening
Persian/Farsi Speaking
Persian/Farsi Writing
Persian/Farsi Reading
Building Confidence and Fluency by Live Meeting
Persian/Farsi Pronunciation
Learning By Submitting Audio Record

Requirements
No Previous Experience Necessary!
Willingness to Learn


Description
The Complete Persian Language Course Farsi Course with Weekly Meeting: Learn Farsi - Learn Persian - Farsi Language Teaching TPRS Method, Audio Submissions and Real-Time Story by Native

The Weekly Meeting Time On Each Thursdays

India : 4:00pm

Brisbane: 8:30pm

Sri Lanka: 4:00pm

New York: 6:30am

Turkey: 1:30pm

Philippines: 6:30pm

Pakistan: 3:30pm

Mexico: 5:30pm

Spain: 12:30pm

If your country is not listed above, please Google (4:00 PM IST to YOUR COUNTRY NAME)

Persian is a pluricentric language predominantly spoken and used officially within Iran, Afghanistan, and Tajikistan in three mutually intelligible standard varieties, namely Iranian Persian, Dari Persian (officially named Dari since 1958), and Tajiki Persian (officially named Tajik since the Soviet era). It is also spoken natively in the Tajik variety by a significant population within Uzbekistan, as well as within other regions with a Persianate history in the cultural sphere of Greater Iran. It is written officially within Iran and Afghanistan in the Persian alphabet, a derivation of the Arabic script, and within Tajikistan in the Tajik alphabet, a derivation of Cyrillic.

In this class, I do my best to provide you every service so you learn and speak Persian effortlessly. I will use these methods for teaching:

Weekly live meeting teaching starting with beginners level to advanced. I also practice with you. In meantime, you find friends and talk with them.

Teaching you storytelling based on the TPRS method. This is how you learn Persian speaking from me. And you practice through video.

I give you feedback on your speaking. You record your audio each week. You read the story I provided for you. then I will check it out and give you feedback.

Inspiring you to learn more and learn the technique of learning in language learning

Real-time support. You have my support by Udemy, Messaging app, and email... So don't hesitate to question me.

FREE ADVICE ON HOW YOU CAN USE THE COURSE QUICKLY

Watch the action word, story conversation, success lecture of one section at least for 3 days or more

Listen to me at the sections and answer out loud to learn profoundly and remove hesitation.

Do a listening activity of each section

Join the weekly meeting to really experience real Persian

Take an assignment on your Google Classroom

By working through the system we have, you will master Persian speaking, speak confidently. You will also learn English Grammar and English Vocabulary naturally.

So don't hesitate anymore,

Join us now to make new experiences with The Complete Persian Language Course with Weekly Meeting today!

Who this course is for
Everyone
Students
Teachers
Mentors
Employee
IT
CEO

Homepage

Rigging 101 For Game Characters | Maya 2020.3



Rigging 101 For Game Characters | Maya 2020.3
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 5.62 GB | Duration: 6h 24m

Learn the tools and concepts to rig characters in Maya 2020.3 from the industry professional Rigger/Animator Tyler Gogan


What you'll learn
Learn the tools and concepts to rig characters in Maya 2020.3.
Learn the ins and outs of rigging a bipedal character - from absolute beginning to the end.
Learn to build a rig, a skeleton, and controllers for your rig from the ground up.
Completely rig and skin a character to get it ready for animation.


Description
NOTE THAT THIS COURSE IS TARGETED TOWARDS INTERMEDIATE USERS

For the past eight years, I have worked on multiple video games spanning from indie titles to professional AAA works. I am so excited to share my knowledge of rigging in video games to help you with your projects or land a job in the games industry.

In this course, we will create a full character rig where you will learn the industry standard methods that I have refined throughout my years of experience in the games industry.

The information is taught in a "big picture" way so that you can follow along with your own biped character models and learn as you create your own products.

We want to make the learning process easy to understand for you, covering all tools and concepts of rigging. There will even be some tests, so be sure to take notes. Learning 3D rigging can be overwhelming so make sure to pace yourself.

For those with experience rigging, you'll learn tips that will accelerate your current workflow and help you to polish your skills.

I will be available for you throughout the whole course, so feel free to send me a message if you encounter any issues. I will help you solve it as soon as possible over Udemy or Discord.

6 hours of video content and still updating!

I am so excited to see what you all come up with and the results you get for your characters!

Riggers, what are you waiting for?


Who this course is for:
Students that have already some 3D knowledge and want to expand their knowledge.
3D Artists that want to get into Rigging.
Aspiring riggers and animators.
Those looking for a job in the video games industry.
Those wanting to make their own indie games who want to know industry standard pipelines.
Indie game developers.
Technical Artists in the games industry.


Homepage

Python Hands-On Crash Course For Data Science | 12+ Projects



Python Hands-On Crash Course For Data Science | 12+ Projects
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 16.6 GB | Duration: 36h 56m



What you'll learn
Have A Solid Python Background For Your Career.
Learn From Professionals Who Use Python In The Industry.
Be Able To Use Python For Data Science
Learn To Use Robust Python Libraries And Frameworks Like: NumPy, Pandas, Scikit-Learn, etc.
Be Able To Use Python For Data Analysis
Learn To Use Robust And Modern Data Visualisation Libraries And Frameworks Like: Seaborn, Matplotlib, Plotly, ggplot, etc.
Be Able To Use Python For Business Analysis
Learn Modern Web Scraping Frameworks like Selenium, Scrapy, Beautiful Soup, Request, Web drivers, etc
Learn Industry Level Ways Of Debugging Python Code
Build PROJECTS And PORTFOLIO With Python
Become an Industry-Level Ready Python Programmer!!
Learn How To Create Your Own Python Programs.
Have The Skills And Understanding Of Python To Confidently Apply For Python Programming Jobs.
Crack Python Interview Questions With Hands-On Experience.
Learn Advanced Machine Learning Concepts Such As: Linear Regression, Logistic Regression, KNN, Naive Bayes, Support Vector Machine, etc.
Learn Flask
Build and Deploy Machine Learning Models With Flask

Requirements
No Programming Experience Needed - I'll teach you everything you need to know from scratch
No Paid Software Required - I'll teach you how to use PyCharm, Sublime Text, Jupyter Notebooks, Flask and Google Colab.
A Windows Laptop, Mac, PC or Linux computer with access to the internet
I'll walk you through, step-by-step how to get all the software installed and set up
I'll walk you through, step-by-step all the concepts and how to use the softwares.
Your enthusiasm to learn !!

Description
According to StackOverFow report 2020, Python is the most preferred programming language by industry professionals. The report also emphasis that employers prefer Python programmers and are willing to pay them more than any other programming language professionals.

The Harvard Business Review also labelled Data Science and Data Analysis as the Sexiest job of the 21st Century. So imagine if you combine the two(i.e. Python + Data). In my experience at Microsoft working as a Data Scientist, I can testify how software developers, data scientist or data analyst who use Python, become more efficient than others who use other programming languages.

Python is also tagged as the most easiest programming language to learn.

Although, Python has all the attributes of what a good programming language is, if you don't get to learn it the right way, it can be difficult and boring just like the other programming languages.

In this course, you will learn Python from scratch, right from what is Python till you master the concepts as a professional Python Programmer.

You will gain industry level Python skills needed for Data Analysis, Data Science, Business Analysis, Web development or Machine learning.

This course aims to teach you from beginner level to Python Professional level. I have worked in several companies including Microsoft, Deloitte, and Synacor where I use Python to work on Data, so I know what it takes to be good in Python to land a decent job.

There are lots of exercises, assignments and projects to get you hands-on and comfortable in programming in Python.

This course has been designed and structured inn the following way:

Get introduced to Python

Know the various versions of Python

Set up your coding environment to start coding

Learn Jupyter Notebook

Learn Anaconda

Start to get hands-on by coding in Python

Learn the various Operators in Python

Learn the various Flow Controls in Python

Learn how to handle and debug errors in Python

Learn Python Modules

Learn Python Packages and Libraries

Get to know

NumPy,

Pandas,

Seaborn,

Matplotlib,

Plotly,

Scikit-Learn, etc

Learn Modern Web Scraping Frameworks like

Selenium,

Scrapy,

Beautiful Soup,

Request,

Web drivers, etc

Build awesome Python Projects

Learn more Advanced Machine Learning concepts like

Linear Regression,

Logistic Regression,

KNN,

Naive Bayes,

Support Vector Machine, etc

Build awesome Machine Learning Projects

Learn Flask

Create Flask API's to deploy Machine Learning models live !!

Feel free to check the course curriculum to verify by yourself.

By the end of this course, you will be much confident in programming in Python like a professionals.


Who this course is for:
Beginners who have never programmed before.
People Interested In Learning Python For Data Science, Data Analysis, Business Analysis, Machine Learning, Artificial Intelligence, Web Development etc.
Programmers switching languages to Python.
If you are interested in learning to code in Python from scratch through building fun and useful projects, then this course is for you!.
Intermediate Python programmers who want to level up their skills!

Homepage

Premiere Pro 2021: Beginner to Advanced in 2 Days Masterclass!



Premiere Pro 2021: Beginner to Advanced in 2 Days Masterclass!
Duration: 9h 35m | 11 Lessons | Video: 1280x720, 44kHz | 6.363 MB
Genre: eLearning | Language: English | Level: Beginner

Premiere Pro is the industry benchmark software used all around the world for video editing. If you are serious-minded about creating expert-looking videos, then this lesson is for you.

Learn from an Adobe Certified Instructor who will take you from knowing nothing or just a little to a level where you can positively edit any kind of video. Even if you are a knowledgeable editor, you will still learn lots of new tips and tricks that you wish you knew before!

Throughout this training, you will learn how to edit in sections of Introduction, Speed, Motion, Audio, Improve Sound, Multi-Camera, Video Effects, Colour, Compositing, Graphics and Export.

All the files (footage, audio files, references, clips, etc) used on the course will be available to download so you can follow each lesson along.

You will learn everything you need to know about sequences, various editing tools, titles, video effects, transitions, speed changes, masks, and animation. You will also learn key techniques when it comes to fixing some common audio problems and color correction.

If you are ready to learn how to edit videos like a pro, then let's get started.