This course on Statistics for Data Science aims to teach learners the most common statistics needed for data analysis. By the end of the course, students will be able to understand important statistical concepts, such as mean, standard deviation, and correlation. They will also learn how to apply these statistics to analyze data, create box plots, and optimize salaries using statistical insights. The course uses a video format to deliver the content and is suitable for beginners in Data Science who want to enhance their statistical skills using Python and pandas.
Overview
Syllabus
Intro
Overview
Statistical Concepts
Example: Weight and Height
Count descriptive statistics
Count with GroupBy
Mean with Groupby
Standard Deviation
Standard Deviation with GroupBy
Describe with DataFrames
Box Plots
Box plots on a DataFrame
Boxplot on DataFrame groupby columns
Understand correlation
Use Corr on DataFrame
Project Description
Project Solution
Step 1.a b c
Step 2.a b c
Step 2.d
Step 3.a
Step 3.b
Step 3.c
Step 4.a b
Step 4.c d
Next Lesson
Taught by
Learn Python With Rune
