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Course Content
Introduction to Python
0/4
Course Structure
00:35
Data Analytics- The Application
06:28
Data Analytics Tools and Python
05:09
Code Editor
06:38
Variables and Data Types
0/6
Using Replit for Coding
08:01
Understanding Variables
08:01
Variable Types (String)
03:48
Variable Types (Integers)
00:00
Variable Type (Float)
03:16
Variable Type (Boolean)
04:56
Input Function and String Concatenation
0/6
Input Functions
05:16
String Concatenation
05:51
Converting Data Types
08:45
Input Function Return Type
00:00
Task 1
01:31
Task 1 (Solution)
00:00
Python Operators
0/4
Arithmetic Operator
04:59
Order of Operation
07:52
Comparison Operators
05:41
Logical Operators
04:54
Conditional Statements
0/4
Conditional Statement
06:24
Conditional Statement – Exercise
08:27
Conditional Statement 2
00:00
Conditional Statement 3
00:00
Functions
0/7
Functions
00:00
Functions with Parameters
00:00
Positional and Keyword Argument
00:00
Optional Parameters
00:00
Return Functions
00:00
Lesson Exercise
00:00
Function Exercise Solution
00:00
Lists
0/7
List
00:00
Adding Items to a List
00:00
Removing Items from List
00:00
List Slicing
00:00
List Mutability
00:00
List Exercise
00:00
List Exercise Solution
00:00
Dictionary and Tuples
0/9
Dictionary
00:00
Adding and Deleting from Dictionary
00:00
Nesting of Dictionary
00:00
Dictionary Mutability
00:00
Dictionary Exercise
00:00
Dictionary Exercise (Solution)
00:00
Tuples
00:00
Tuples Immutability
00:00
Set
00:00
Loops
0/6
For Loops
00:00
While Loop
00:00
More on For Loop
00:00
Module Vs. Package
00:00
Random Module
00:00
DateTime
00:00
Anaconda Installation and Numpy
0/8
DOWNLOAD ACCOMPANYING FILE & NOTE !
00:00
Anaconda Installation
00:00
Alternate Installation
00:00
Numpy I
00:00
Numpy II
00:00
Numpy III
00:00
Numpy Exercise
00:00
Numpy Exercise – Solution
00:00
Pandas
0/12
DOWNLOAD ACCOMPANYING FILE !
Pandas Series
00:00
Pandas DataFrame
00:00
Pandas Exercise
00:00
Pandas Exercise – Solution
00:00
NaN Values and Groupby
00:00
Combining DataFrame
00:00
Pandas Methods and Pivot Tables
00:00
Times Series
00:00
Time Series Exercise
00:00
Time Series Exercise – Solution
00:00
Reading Data
00:00
Pandas Exercise
0/3
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Pandas Exercise
00:00
Pandas Exercise – Solution
00:00
Matplotlib
0/5
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Matplotlib
00:00
Matplotlib – Introduction
00:00
Matplotlib Exercise
00:00
Matplotlib Exercise – Solution
00:00
Seaborn
0/8
Seaborn Relationship Plot
00:00
Seaborn Distribution Plot
00:00
Seaborn Categorical Plot
00:00
Seaborn Regression Plot
00:00
Seaborn Multi-Plot Grid
00:00
Seaborn Figure Theming
00:00
Seaborn Color Palette
00:00
Seaborn Matrix Plot
00:00
Seaborn exercise
0/3
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Seaborn Exercise
00:00
Seaborn Exercise – Solution
00:00
Plotting with Pandas
0/4
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Plotting with Pandas
00:00
Plotting with Pandas Exercise
00:00
Plotting with Pandas Exercise – Solution
00:00
Plotly Express
0/4
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Plotly Express
00:00
Plotly Express Exercise
00:00
Plotly Express Exercise – Solution
00:00
CAPSTONE PROJECT
0/1
Superstore Data Analysis with Python
Python for Data Analysis
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