PART 1 :: Course overview. START HERE.

WELCOME to PART1!

You might be a bit overwhelmed , or excited, or both, or have mixed feelings after reading the title of this course. Do NOT worry! PART1 of this Master-course is designed to equip you with all the necessary skills that are needed to succeed in the machine learning and AI world. Keep reading below.

In this PART 1 of the Data Science and Machine Learning course in R, you will learn the following:

Part 1 includes::

1. Intro to R Studio and why Data Scientists love R.
2. Data objects in R: Vectors, scalars, matrixes, data frames.
3. Data types in R.
4. Working with programming concepts: for loops and if statements.

Following this PART1, you will be eligible to sign up for Part 2 and Part 3 of this master-course.

Part 2 includes:

1. Machine learning classification INTRO
2. Machine learning models: logistic regression
3. Machine learning models :: decision trees
4. Converting model outputs to business insights.

Part 3 includes:

1. Plotting in R – using plot framework, ggplot 2, plotly
2. Report Automation – for those who can’t stand Excel and Power Point
3. Building an APP (User Interface application) with R Shiny

The order in which these courses were designed are critical. Part 1 should be taken before Part 2 and Part 2 should be taken before Part 3.

TEXTBOOK for this course: 

We will be using the following textbook for our Course, which you can buy on Amazon : https://a.co/d/dPhz2Iv

One you register for the course, you will receive the textbook FOR FREE. It will be posted in the next Lesson in this course (content available after registration).