Can you learn Data Science - even if you don't know Python - in just an hour? YES. In this complete tutorial, you'll learn the basics of data science and Python as you work with student data to predict a grade based on the number of hours studied.
Chapters:
Part 1:
00:00 Getting started with Visual Studio Code and Anaconda
01:09 Installing Jupyter Notebooks and Python
01:32 Creating a Jupyter Notebook
02:17 Working with data
09:27 Introduction to Pandas
10:18 Working with Data Frames
14:18 Read a CSV file into a Pandas Data Frame
15:31 Remove Null values in data
19:57 Adding a column to a Data Frame
21:26 Grouping data using 'groupby()'
Part 2:
25:16 Creating charts from data
26:12 Rainbow CSV
26:31 Using Matplotlib to make charts
28:02 Customizing charts with Matplotlib
32:18 Creating a pie chart with Matplotlib
34:12 Creating a chart directly from Data Frame
34:58 Data Science, Samples, and Distributions
35:45 Creating a histogram with Matplotlib
37:39 Central Tendencies, Mean, Median, and Mode
41:21 Creating a boxplot with Matplotlib
43:57 Visualizing probability density with Matplotlib
Part 3:
46:22 Creating a Jupyter Notebook
47:06 Statistical Outliers
49:22 Variance, Range, and Standard Deviation
52:39 68% Rule
56:37 Analyzing box plots
58:46 Normalizing ranges
01:02:17 Calculating Correlation value
01:04:19 Using regression lines
01:06:00 Least squares regression
01:09:54 Things are getting interesting
01:12:16 Thank you for learning with us!
Follow along with the interactive tutorial 👉 https://aka.ms/data-science-from-scratch
More free data science training 👉 https://aka.ms/learn-data-science