Intro to Data Science – Crash Course for Beginners


    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:

    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

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    1. Hey everyone! This is Max from the course – thanks so much for checking it out. 🙂 We've got a ton of free resources over on the blog and my website at to help those of you who are curious or want to learn more.

      I hope this mini-course gives you a good basic insight into what the term 'data science' exactly entails, and I also hope it piques the curiosity in some of you to look into a career in data science!

      If you want to dive right into it, my full Data Scientist in 10 Weeks course can be found here:

      If you have any questions, please don't hesitate to let me know! I'll definitely hang around here and check for any questions or comments. 🙂

    2. thank you so much for this!!! Im going to college in the fall to major in public health, and I was thinking of picking up a data science minor as well. This is simple enough for me to understand what the field is + what it requires!!

    3. Hi Max, Very informative and interesting, Question, at 13:16 you talk about Continuous data and contrast every number from -infinity to +infinity (i.e. numerical infinity) with every number between "0" and "1", however, can those numbers be equally infinite as subdivisions can be infinite?

    4. Hey guys, I am starting my journey in Data Science und like to connect with other people. My plan is to make a certified Course in Data Science with exercises for the portfolio. Anyone here likes to join that journey to share experiences and discuss some interesting topics? I am really happy for every joining guy 🙂