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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)
03:48
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
01:58
Task 1
01:31
Task 1 (Solution)
07:43
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
08:38
Conditional Statement 3
06:46
Functions
0/7
Functions
02:34
Functions with Parameters
05:12
Positional and Keyword Argument
04:59
Optional Parameters
07:26
Return Functions
04:54
Lesson Exercise
01:05
Function Exercise Solution
02:14
Lists
0/7
List
04:30
Adding Items to a List
05:04
Removing Items from List
05:57
List Slicing
07:56
List Mutability
04:26
List Exercise
01:01
List Exercise Solution
01:50
Dictionary and Tuples
0/9
Dictionary
03:59
Adding and Deleting from Dictionary
04:48
Nesting of Dictionary
05:02
Dictionary Mutability
02:19
Dictionary Exercise
01:09
Dictionary Exercise (Solution)
03:03
Tuples
02:57
Tuples Immutability
03:42
Set
03:21
Loops
0/6
For Loops
11:27
While Loop
11:50
More on For Loop
09:09
Module Vs. Package
10:45
Random Module
10:58
DateTime
13:50
Anaconda Installation and Numpy
0/8
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00:00
Anaconda Installation
17:22
Alternate Installation
05:39
Numpy I
08:16
Numpy II
09:04
Numpy III
13:28
Numpy Exercise
01:12
Numpy Exercise – Solution
07:45
Pandas
0/12
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Pandas Series
08:01
Pandas DataFrame
14:14
Pandas Exercise
00:39
Pandas Exercise – Solution
06:33
NaN Values and Groupby
08:41
Combining DataFrame
07:59
Pandas Methods and Pivot Tables
17:33
Times Series
17:52
Time Series Exercise
01:00
Time Series Exercise – Solution
05:31
Reading Data
13:49
Pandas Exercise
0/3
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Pandas Exercise
01:35
Pandas Exercise – Solution
11:24
Matplotlib
0/5
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Matplotlib
21:02
Matplotlib – Introduction
22:25
Matplotlib Exercise
01:05
Matplotlib Exercise – Solution
17:01
Seaborn
0/8
Seaborn Relationship Plot
09:58
Seaborn Distribution Plot
20:21
Seaborn Categorical Plot
09:54
Seaborn Regression Plot
02:33
Seaborn Multi-Plot Grid
15:10
Seaborn Figure Theming
00:00
Seaborn Color Palette
08:32
Seaborn Matrix Plot
10:39
Seaborn exercise
0/3
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Seaborn Exercise
01:05
Seaborn Exercise – Solution
08:31
Plotting with Pandas
0/4
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Plotting with Pandas
06:35
Plotting with Pandas Exercise
00:53
Plotting with Pandas Exercise – Solution
04:47
Plotly Express
0/4
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Plotly Express
15:49
Plotly Express Exercise
00:29
Plotly Express Exercise – Solution
00:00
Financial Theory
0/5
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Time Value of Money
10:57
Financial Statement Analysis
19:39
Portfolio Theory
32:11
Asset Pricing Models
03:34
CAPSTONE PROJECT
0/1
Portfolio Analysis & Optimization with Python
Python for Financial Analysis
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