11 Sections
44 Lessons
10 Weeks
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Introduction to Business and Data
1
1.1
Introduction to Business and Data
Python basics and Jupyter Notebook
3
2.1
Python Basics and Jupyter Notebooks Part-1
2.2
Python Basics and Jupyter Notebooks Part-2
2.3
Python Basics and Jupyter Notebooks Part-3
Basic Python Syntax
8
3.1
Syntax Fundamentals Part-1
3.2
Syntax Fundamentals Part-2
3.3
Syntax Fundamentals Part-3
3.4
Syntax Fundamentals Part-4
3.5
Conditional Programming Part-1
3.6
Conditional Programming Part-2
3.7
Conditional Programming Part-3
3.8
Conditional Programming Part-4
Functions and Sequences
6
4.1
Introduction to Function and sequence
4.2
Function – Lab Session
4.3
Assignment Solution And functions Continued
4.4
Sequences – Lab Session
4.5
Sequences- Lab session Continued
4.6
Assignment solution and sequence continued
Object Oriented Programming (OOP) and NumPy
6
5.1
Oops and Numpy Introduction
5.2
Oops – Lab Session
5.3
Oops – Lab Session Continued..
5.4
Numpy- Lab Session
5.5
Numpy Operations
5.6
Numpy OS & Date Time Libreary
Pandas Library & Data Manipulation
3
6.1
Pandas Series
6.2
Data Frames
6.3
Data Frames Continued..
Working with Files & Data Importing
2
7.1
Files & File Handling
7.2
Files & File Handling Continued..
Data Cleaning and Preprocessing
8
8.1
Data Cleaning and Preprocessing
8.2
Data Cleaning and Preprocessing Part-2
8.3
Data Cleaning and Preprocessing Part-3
8.4
Pandas Methods and Operations
8.5
Pandas Methods and Operations – Lab Session
8.6
Pandas Methods and Operations – Lab Session Cont…
8.7
Assignment
8.8
Assignment Solution
Exploratory Data Analysis (EDA)
2
9.1
Exploratory Data Analysis (EDA)
9.2
Exploratory Data Analysis (EDA) Part-2
Bonus Topics
2
10.1
Data Gathering and API
10.2
Linear Algebra and NumPy
Capstone Project
3
11.1
Capstone Project
11.2
Capstone Project Solution Part-1
11.3
Capstone Project Solution Part-2
Data Analytics with Python
Curriculum
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