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Analyzing and Transforming Data with Power BI
Instructors: Bluelime Learning Solutions
2 sections • 14 lectures • 1h 15m total length
Video: MP4 1280x720 44 KHz | English + Sub
Updated 2/2022 | Size: 444 MB​

Connect , Transform and Analyse Data with Power BI
What you'll learn
Connect to data source
Transform data with Power Query
Create and manage query groups
Create conditional columns
Filter data
Requirements
Basic knowledge of Power BI advised
Basic knowledge of Microsoft Excel Advised.
Description
Data analysis is the process of collecting, modelling, and analysing data to extract insights that support decision-making. There are several methods and techniques to perform analysis depending on the industry and the aim of the analysis.
Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what's important, and share that with anyone or everyone you want.
Data is the core of Power BI. As you explore reports, each visual draws its underlying data from sources that often contain far more data than you need. Power BI offers several ways to filter and highlight reports. Knowing how to filter data is the key to finding the right information.
Power BI consists of several elements that all work together, starting with these three basics
A Windows desktop application called Power BI Desktop.
An online SaaS (Software as a Service) service called the Power BI service.
Power BI mobile apps for Windows, iOS, and Android devices.
These three elements-Power BI Desktop, the service, and the mobile apps-are designed to let you create, share, and consume business insights in the way that serves you and your role most effectively.
Who this course is for
Beginner Data Analyst
Beginner Data Scientist
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Applied Machine Learning: Ensemble Learning
LinkedIn Learning
Duration: 2h 25m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.23 GB
Genre: eLearning | Language: English​

Do you want to grow your skills as a machine learning practitioner, but don't know where to begin? You don't need any formal training in data science to start working toward your goal. In this course, instructor Derek Jedamski shows you how to harness messy data, find signal in it, and build models that make powerful predictions with ensemble learners, one of the most common classes of machine learning algorithms.
Review the basics of the machine learning pipeline to find out where ensemble learners sit within it. Learn about the underlying theory that drives ensemble learners, covering examples of ensemble learning in Python and then implementing models of your own. Explore concepts like boosting, bagging, and stacking, and how to use each and when. Get the tools you need to ramp up your predicting power and advance your machine learning skills today.
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Applying Asynchronous Programming in C#
Filip Ekberg | Duration: 3h 18m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 743 MB | Language: English​

This course will teach you how to get started with asynchronous programming in .NET. You will learn how to apply these patterns in new and existing applications and you will see how to avoid the common mistakes.
Do you want to build fast, responsive, and overall better applications by applying asynchronous principles? You'll need to understand how to safely and effectively introduce asynchronous programming in your applications.
In this course, Applying Asynchronous Programming in C#, you'll learn the fundamentals of asynchronous programming in C#
explore how to properly apply the async and await keywords
discover the Task Parallel Library and understand how it relates to async and await
learn more about how introducing asynchronous patterns affects the application, how to avoid pitfalls, and how to best approach these patterns
When you're finished with this course, you'll have the skills and knowledge of asynchronous programming needed to apply this in your C# applications.
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Applying Functional Principles in C#
Vladimir Khorikov | Duration: 3h 28m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 577 MB | Language: English​

Functional programming in C# can give you insight into how your programs will behave. You'll learn the fundamental principles that lie at the foundation of functional programming, why they're important, and how to apply them.
With the advent of LINQ, C# has gotten a significant exposure to functional programming. However, functional programming in C# is not restricted to the use of extension methods, lambdas and immutable classes. There are a lot of practices that haven't been adopted as widely because there's not much of native language support for them in C#. Still, they can be extremely beneficial should you incorporate them into your day-to-day work. This course, Applying Functional Principles in C#, will show them to you. You will learn the fundamental principles behind functional programming, why they are important and how to apply them in practice. Specific topics you'll cover include refactoring to an immutable architecture, avoiding exceptions, primitive obsession, how to handles failures and input errors, and more. By the end of this course, you will have a much more comprehensive understanding of why and how to use functional programming.
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Basic & Advanced Methods in Econometrics
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.49 GB | Duration: 2h 41m
Regression Analysis and Statistical Modeling​

What you'll learn
Simple Linear Regression
Multiple Linear Regression
Durbin-Watson Test Statistic
Multivariate Regression
Polynomial Regression
Logistic Regression
Autoregressive Model
Vector Autoregressive Model
Requirements
Basic knowledge of statistics
Description
This course is essentially designed for economics students. Econometrics is a mandatory course to be completed in every Economics curriculum at university. The core classes an economics student has to complete in order to graduate are Microeconomics, Macroeconomics, Mathematical Economics, and Econometrics. And Econometrics is known to be the most difficult of all.
Econometrics has the reputation of being a fearful discipline and many students have been intimidated by the subject. Econometrics is used everywhere and in almost every professional industry on a daily basis to make decisions. Businesses use it to decide how to promote a product and their brand, schools use it to determine their admission rate, the government uses it to predict voting patterns and outcomes, hospitals use it to predict the spread of diseases, Banks and hedge funds use it to determine the price of the stock market and the trend of financial markets...etc. Econometrics is part of our lives.
The pri**** goal of this course is to demystify the field of Econometrics. It is meant to facilitate the understanding of complex econometric subjects. This course is structured to provide the foundational knowledge required to do econometric analysis and statistical modeling. It teaches the basic and advanced methods of econometric modeling.
Who this course is for
beginners in data science
students of economics
beginners in statistics
students of mathematics
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Become a Web Development Ninja | HTML
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 348 MB | Duration: 47m
This is the part 1 of Become a Web Development Ninja course.​

In this class we will learn about the basics of HTML and we will also create a project at the end of the class.
This course will be helpful for people who are starting their web development journey and want to learn HTML or who wants to clear their basics of HTML or for the people who are struggling to learn HTML.
Initially we will use notepad to write our HTML code but from lesson 6 we will start writing our HTML code in the VS code.
There are no prior experience needed for taking this class.
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Big Data Programming Languages & Big Data Vs Data Science
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 248 MB | Duration: 36m​

Big Data Programming Languages,Skills to become a Big Data Professional,Differences between Big Data & Data Science
What you'll learn
Big Data Programming Languages
Programming Language Concepts
Skills needed to become a Big Data Professional
Differences between Big Data & Data Science
Similarities Between Big Data & Data Science
Challenges of Big Data
Requirements
No pre-requisites
Description
Students will learn the following topics in this course.
Big Data Programming Languages
Programming Language Concepts
Skills to become a Big Data Professional
Differences between Big Data & Data Science
Similarities Between Big Data & Data Science
Challenges of Big Data
Big Data Programming Languages
Programming Language Concepts
Skills to become a Big Data Professional
Differences between Big Data & Data Science
Similarities Between Big Data & Data Science
Challenges of Big Data
Big Data Programming Languages
Programming Language Concepts
Skills to become a Big Data Professional
Differences between Big Data & Data Science
Similarities Between Big Data & Data Science
Challenges of Big Data
Big Data Programming Languages
Programming Language Concepts
Skills to become a Big Data Professional
Differences between Big Data & Data Science
Similarities Between Big Data & Data Science
Challenges of Big Data
Big Data Programming Languages
Programming Language Concepts
Skills to become a Big Data Professional
Differences between Big Data & Data Science
Similarities Between Big Data & Data Science
Challenges of Big Data
Big Data Programming Languages
Programming Language Concepts
Skills to become a Big Data Professional
Differences between Big Data & Data Science
Similarities Between Big Data & Data Science
Challenges of Big Data
Big Data Programming Languages
Programming Language Concepts
Skills to become a Big Data Professional
Differences between Big Data & Data Science
Similarities Between Big Data & Data Science
Challenges of Big Data
Big Data Programming Languages
Programming Language Concepts
Skills to become a Big Data Professional
Differences between Big Data & Data Science
Similarities Between Big Data & Data Science
Challenges of Big Data
Big Data Programming Languages
Programming Language Concepts
Skills to become a Big Data Professional
Differences between Big Data & Data Science
Similarities Between Big Data & Data Science
Challenges of Big Data
Who this course is for
Beginner level students interested to learn Big Data programming languages
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Blender Visual Effects - Real World Meets CG
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 1.67 GB | Duration: 2h 21m
Create your own Hollywood action scenes in Blender
​

What you'll learn
Use Blender to merge computer graphics with real-world footage just like they do in blockbuster movies.
Learn the fundamentals of compositing in order to make all of the elements (real and CG) look like they seamlessly belong together.
Block out your scene and set up cameras to tell the story you want to tell.
Refine textures and improve lighting to give the look you want.
Add polish such as depth of field, screen shake and color correction to make your scene look professional quality.
Requirements
A basic familiarity with Blender is helpful for this course.
Description
In this course we bring together computer graphics (CG) with real world video footage to make a final scene just like in a blockbuster movie. By the end of the course you'll have created your own short scene, such as a CG orc running down a city path.
You'll learn all about preparing assets, improving textures, lighting, compositing, camera positioning, keying, camera shake and a bunch more techniques used in professional Visual Effects studios.
Use Blender to merge computer graphics with real-world footage (just like in the movies).
Learn the fundamentals of compositing in order to make all of the elements (real and CG) look like they seamlessly belong together.
Block out your scene and set up cameras to tell the story you want to tell.
Refine textures and improve lighting to give the look you want.
Add polish such as depth of field, screen shake and color correction to make your scene look professional quality.
This course is for students who already have a basic familiarity with Blender.
With our online tutorials, you'll be amazed what you can achieve right from the first moment you start the course. Benefit from our world-class support from both other students, and the GameDev tv team who are regularly engaged in the forums and Q&A section.
Who this course is for
Ideal if you're interested in using blender for film & television.
Perfect if you want to learn to mix 3D footage with live footage.
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Brand Strategy: Management of Your Brand Reputation
LinkedIn Learning
Duration: 1h 17m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 929 MB
Genre: eLearning | Language: English​

A positive brand reputation increases customer loyalty, builds trust in the market, and helps position you as a leader in your space. In this course, learn tips from brand expert and marketing thought leader Chelsea Krost on how to build and protect a strong brand reputation. Chelsea shows you how to hone your brand strategy with practical guidance in critical areas, including: Corporate social responsibility, diversity and inclusion; leveraging the right influencers in the right ways; and managing negative reviews and brand feedback. She also covers the importance of monitoring your brand reputation through internal brand audits, and details some tools to help you manage your online reputation.
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Build Purchase Management System Project - ASP .Net Core MVC
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 30 lectures (4h 21m) | Size: 2.65 GB
​

Complete Data Driven Project with Downloadable Reports. ASP .Net Core MVC 3.0, jQuery, SQL Server, Code First approach
What you'll learn
Develop mid to advance level projects
Create data driven applications calling reports
Design User Friendly Application Interface
Code in a professional way
Requirements
Basic Programming Knowledge Required
Description
This is a complete Purchase Management System web based Project for all levels (beginners to advanced) using ASP .Net Core MVC 3.0, jQuery, Code First Approach and SQL Server database under Visual Studio 2019.
You will learn how to create the database for the project. How to create a beautiful Interface and professional Navigation Bar. Creation of Items, Purchases and Issuance transaction forms where you will be able to Add, Edit and Delete the entries. Development of downloadable and printable Reports is also taught.
In this project we have focused on direct practical approach. Instead of going in unnecessary details of theory we are giving to the point detail for the task so that the student can understand the logic and concept behind and can complete the task and get results quickly. Many students complete a course without a project and feel unable to get start and apply their knowledge to create or build a working software application or website. This course is specially designed for the students who want to create a complete running project independently using their basic knowledge.
Once understanding and completing this project course on ASP Net Core MVC, hopefully it will become easy for you to build another project even if you are working on a different tool other than ASP.
Who this course is for
Anyone wants to build web applications from scratch
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Building a Sitecore 9 Helix Website
Duration: 3h 37m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 2.88 GB
Genre: eLearning | Language: English​

This course provides ASP.NET web developers with an in-depth guide to Sitecore development. This course will help you be able to implement a complete Sitecore 9 Helix website using the Sitecore Helix Visual Studio Templates Extension.
What you'll learn
Disclaimer: Not official Sitecore training. Are you an ASP.NET web developer who is starting out in Sitecore Development? In this course, Building a Sitecore 9 Helix Website, you will learn how to work with the most popular field types as you build a complete Sitecore 9 website. First, you will learn how to create Sitecore Helix projects in Visual Studio using the Sitecore Helix Visual Studio Extension. Next, you will create view and controller renderings as you build out a Sitecore convention-themed website using simple, list, and link field types. Then, you will discover how to support editing content in the Experience Editor. You will also see some considerations for a production environment. Finally, you will explore some valuable resources to help you continue studying Sitecore development. By the end of this course, you will be able to build a complete Sitecore Helix website using the Sitecore Helix Visual Studio Templates Extension.
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Business Intelligence Dashboards Using Grafana Reporting
Instructors: Manish Narayan
4 sections • 20 lectures • 1h 31m
Video: MP4 1280x720 44 KHz | English + Sub
Updated 2/2022 | Size: 626 MB​

Business Intelligence Grafana Reporting
What you'll learn
Grafana
Reporting
Business Intelligence
SQL
Requirements
Basic SQL Knowledge
Charts and Graphs
Basic Reporting
Description
Get Started with Business Intelligence Dashboards Using Grafana Reporting!
Are you a student or professional in the field of Software Engineering, Business Intelligence, Reporting, Data Analysis or maybe contemplating an educational or career move to the software engineering world? Have you been looking for a quick and easy way to get up and running with Grafana Reporting and don't want to go through an overwhelming amount of material just to get your environment setup and ready for building your own professional dashboards that interact with data? Don't worry as THIS IS THE COURSE FOR YOU!
In my course, I will teach you how to get your environment setup for Grafana Reporting, SQL Server 2019, and Best Practices and help you to build your first set of Professional Reporting Dashboards through a step-by-step guided approach.
Together, we will design a Professional, Business Intelligence Dashboard that will support Authentication, various Chart Types, and Useful Plugins that you can utilize and re-use in both an academic and professional setting. Once you finish my course you will be able to present, design, and host Real-World Dashboards!
Take this course and feel proud of the fact that you will be one step closer towards the rewarding field of Software Engineering and Business Intelligence using Grafana Reporting!
Who this course is for
Business Intelligence Engineers
Executives
Developers
Software Engineers
Big Data Engineers
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