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.
āļø Contents āļø
āØļø (0:00:00) Introduction
āØļø (0:10:52) Statistical Data Types
āØļø (0:25:10) Types of Averages
āØļø (0:38:55) Spread of Data
āØļø (0:50:54) Quantiles and Percentiles
āØļø (0:55:52) Importance of Data Visualization
āØļø (1:05:14) One Variable Graphs
āØļø (1:12:04) Two Variable Graphs
āØļø (1:25:08) Three and Higher Variable Graphs
āØļø (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
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Hey everyone! This is Max from the course – thanks so much for checking it out. š We've got a ton of free resources over on the blog and my website at codingwithmax.com 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: https://codingwithmax.teachable.com/p/data-scientist-10-weeks
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. š
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!!
I think this is the best introduction to data science I've come across so far – it's actually made me want to study data science further. Thanks
How did you teach yourself to do all of the stuff?
This introduction is really clear Thank you Max for your hard work, well done!
wow
So, far the most simplified lecture on data science
Very helpful video – we can also recommend to study Applied Data Science at MU Vienna – small class sizes and great professors! Check out our curriculum.
I don't know how I would apply this. How many years does one need to study to apply for work?
this videos motivates me to learn more about data science. such an interesting thing!
Good content
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Introduction to data science
a good summary of middle school statistics
Thank you! Really helpful!!
Fire content!
Really solid content. Wish I'd seen this before I've graduated lol
this guy is no scientist
Amazing
Crash course… These are not my personal goals, just how I see Data Science. Data science as i see it…. Goal 1. Stalk and Harrass. Goal 2. Manipulation and deception. Goal 3. Ripoff the naive and uninitiated.
What can be the ādataā can someone give an example? I understand it can be anything but like what? A persons personal info or what
Thank You so much, Max! Helped out a lot!
This looks like basic maths to me. What's the difference between Statistics and Data Science?
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?
Hi Max
How can I continue learning with you
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 š
Thanks
24:10
If you think at the molecular level, weight is probably discreet and not continuous
Thanks!
Did you mean Gaus Sian?
THank you sir.
The Course should be called : Introduction to Statistics and not "Data Science"
Thank you so much this is the easiest explanation I hv ever seen
Before I go into this course,
If all programming languages do not exist.. is data science still exists?
In another way .. is pure data science independent of programming?