Learn the basic components of Data Science in this crash course for beginners. If you want to learn more about data science after completing this course, check out Max's Free Getting Started with Data Science Workshop: https://codingwithmax.com/webinar/data-scientist/ In this course for beginners, you will learn about: 1. Statistics: we talk about the types of data you'll encounter, types of averages, variance, standard deviation, correlation, and more. 2. Data visualization: we talk about why we need to visualize our data, and the different ways of doing it (1 variable graphs, 2 variable graphs and 3 variable graphs.) 3. Programming: we talk about why programming helps us with data science including the ease of automation and recommended Python libraries for you to get started with data science. ⭐️ Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:10:52) Statistical Data Types ⌨️ (0:25:10) Types of Averages ⌨️ (0:38:55) Spread of Data ⌨️ (0:50:54) Quantiles and Percentiles ⌨️ (0:55:52) Importance of Data Visualization ⌨️ (1:05:14) One Variable Graphs ⌨️ (1:12:04) Two Variable Graphs ⌨️ (1:25:08) Three and Higher Variable Graphs ⌨️ (1:31:20) Programming Course from Coding With Max. Check out the Coding With Max blog: https://www.codingwithmax.com/blog Full data science course: https://codingwithmax.teachable.com/p/data-scientist-10-weeks -- Learn to code for free and get a developer job: https://www.freecodecamp.org/ Read hundreds of articles on programming: https://medium.freecodecamp.org/ And subscribe for new videos on technology: null