The Machine Learning Process A to Z

We designed this course as an end-to-end machine learning algorithm resource. You can either go through it sequentially to learn the algorithms or use it as a reference. What is different about these courses is that we focus on the practical implications of these algorithms rather than just high-level theory and toy examples. We tell you how these are used in the real world and insights around when and why you may or may not want to use them in practice. We are also major believers in open source, so we included all the resources that we used to make this course alongside our lectures for you to directly reference.

This motivating course helps you adopt a data science mindset and gain better insight into what is needed to land a job in the field. The course author, Harpreet Sahota, is a seasoned data scientist who shares his unique perspective on why data science is an exciting career choice. He also addresses how to find employment opportunities, build a project portfolio, and approach problem-solving as a product manager, scientist, and businessperson. You’ll have the chance to learn from the experience of a successful data scientist well-known in the data science community.

Originally introduced as an Excel 2010 add-on, Power Query is a data preparation and transformation engine widely available in such Microsoft products as Power BI, Excel, Azure, and Dataverse. Power Query allows you to connect to multiple data sources, including SQL DB, Rest API, CSV, JSON, Google Analytics, Web, etc. It provides the same user experience and data transformations regardless of the data source. Data needs to be reshaped before reporting. Data modeling transforms and reshapes data to meet our reporting needs. This course teaches how to use Power Query and perform data modeling to prepare your data for analysis in such BI tools as Power BI.

Data Analysis Expressions (DAX) is a programming language used in Power BI that allows users to create calculated columns, measures, and custom tables. This course teaches how to use DAX and take your Power BI analysis skills to the next level. By the end of the course, you’ll know how to create custom functions that enable you to create sophisticated business reports in Power BI.

You want to use Power Query, Data modeling, DAX, and Power BI to create meaningful business reports. In this course, you’ll learn how to create reports using such features as shapes, slicers, maps, matrix tables, charts, interactive tooltips, bookmarks, and more. By the end of the course, you’ll be able to create a complete business report from scratch.

In this course you learn everything about the machine learning process beginning with framing the problem all the way through model productionization. This course teaches you exactly how to get the most out of the models that you use to create great value on your projects and in your work. In part one we give you all the details on what machine learning is and when to use it. In part 2 we focus on the necessary process for creating the most value from your models. We cover: (1) Machine Learning Problem Framing (2) Data Collection (3) Data Cleaning (4) Exploratory Data Analysis (5) Feature Engineering (6) Cross Validation (7) Modeling (8) Productionization and (9) Documentation