Python Programming | Batch 380 | M0100376

Course Instructors Innomatics Research Labs Trainer

FREE

Course Overview

Schedule of Classes

Start Date & End Date

May 14 2025 - May 30 2025

Total Classes

13 Classes

Course Curriculum

1 Subject

Python Programming | Batch 380 | M0100376

36 Exercises • 108 Learning Materials

Course Tool Kit (Discord and Mentoring Link)

Discord Application and Steps to Join Innomatics Server

Discord Walkthrough Link

External Link

LMS Integrated Zoom Recording Access for the Video

External Link

LMS Onboarding

External Link

LMS Demonstration PDF

PDF

About Innomatics

Video

1:21

Innomatics Wall of Inspiration

Video

2:14

Python Programming

Ananconda Installation For Python and Jupyter Notebook

10th March - Introduction to Python Programming

Video

1:39:51

10th March - Introduction to Python Programming

ZIP

11th March - Operators in Python

Video

1:55:9

11th March - Operators in Python

ZIP

12th March - Strings

Video

1:40:35

12th March - Strings

ZIP

13th March - List

Video

1:33:2

13th March - List

ZIP

17th March - Tuple and Set

Video

1:54:37

17th March - Tuple and Set

ZIP

6th Feb - Tuple and Dictionary

ZIP

Dictionary Video

Video

1:52:17

19th March - Data Structures Hands on

Video

1:15:59

20th March - Conditional Statements

Video

1:52:27

20th March - Conditional Statements

ZIP

21st March - For loop

Video

1:48:48

21st March - For Loop

ZIP

24th March - While Loop

Video

1:57:19

While Loop

ZIP

25th March - Functions

Video

1:59:9

25th March - Functions

ZIP

26th March - Functions hands on

Video

1:6:58

27th March - List and Dictionary Comprehensions

Video

1:48:44

27th March - List and Dictionary Comprehensions

ZIP

28th March - Scope of the variables and Problem Solving

Video

1:11:58

28th March - Class Notes

ZIP

01st April - File Handling

Video

1:22:42

01st April - File Handling Class Notes

ZIP

02nd April - Exception Handling

Video

1:46:56

02nd April - Exception Handling class notes

ZIP

03rd April - OOPS Part - 1

Video

1:39:32

03rd April - OOPS Part - 1 Class Notes

ZIP

04th April - OOPS Part -1 Live Task

Video

1:39:2

04th April - OOPS Part - 1 Live Task Notes

ZIP

07th April - OOPS Part 2 - Inheritance

Video

2:7:54

07th April - OOPS Part 2 - Inheritance & Abstraction class notes

ZIP

08th April - Hands on Single and Multi-Level Inheritance

Video

1:30:17

08th April - Hands on Single and Multilevel Inheritance Task notes

ZIP

09th April - Encapsulation & Polymorphism

Video

1:29:6

09th April - Encapsulation & Polymorphism Class Notes

ZIP

10th April - Polymorphism and Encapsulation Live Class

Video

55:17

11th April - Hands on python using functions, conditional statements and loops Live Class

Video

1:55:27

Assignments

Python - Variables and Datatypes

Assignment

Python - Strings

Assignment

Python - List and Tuples

Assignment

Python - Sets

Assignment

Python - Dictionary

Assignment

Python - Conditional Statements and Loops

Assignment

Python - Functions

Assignment

Python - Class and Object

Assignment

Data Analysis - Numpy

Assignment

Data Analysis - Pandas

Assignment

Data Analysis - Visualization

Assignment

Daily Tasks

Task 1 - Identifiers and Operators

Assignment

Task 2 - Strings

Assignment

Task 3 - List

Assignment

Task 4 - Set & Tuples

Assignment

Task 5 - Dictionary

Assignment

Task 6 - Conditional Statements

Assignment

Task 7 - Loops

Assignment

Task 8 - Functions

Assignment

Task 9 - Higher Order Functions & List Comprehensions

Assignment

Task 10 - File Handling

Assignment

Task 11 - Exception Handling

Assignment

Task 12 - OOPS - 1

Assignment

Task 13 - OOPS - 2

Assignment

Task 14 - OOPS - 3

Assignment

Task 15 - Numpy - 1

Assignment

Task 16 - Numpy - 2

Assignment

Task 17 - Numpy - 3

Assignment

Task 18 - Numpy - 4

Assignment

Task 19 - Pandas - 1

Assignment

Task 20 - Pandas - 2

Assignment

Pandas - Take Home Quiz -1

Assignment

Pandas - Take Home Quiz -2

Assignment

Pandas - Take Home Quiz - 3

Assignment

Pandas - Take Home Quiz - 4

Assignment

Statistics - Hypothesis Testing

Assignment

Numpy

14th April - Numpy Basics Live Class

Video

1:41:9

14th April - Numpy Basics Class Notes

ZIP

15th April - Numpy - Random numbers, Slicing, Update, Insert and Delete

Video

1:51:26

15th April - Numpy - Random numbers, Slicing, Insert, Update and Delete Class Notes

ZIP

16th April - Numpy Interations, Arithmetic operations, Statistical functions Part - 1

Video

1:13:38

16th April - Numpy Interations, Arithmetic operations, Statistical functions Part - 2

Video

34:2

16th April - Numpy Interations, Arithmetic operations, Statistical functions Class Notes

ZIP

17th April - Numpy Array Broadcasting, Array Manipulation, Where, Concatenation

Video

1:38:54

17th April - Numpy Array Broadcasting, Array Manipulation, Where, Concatenation Class Notes

ZIP

Revision Session

12th April - Python Problem Solving Session

Video

2:45:14

12th April - Python Problem Solving class notes

ZIP

19th April - Problem Solving using Loops Live Class

Video

1:55:32

19th April - Problem Solving using Loops Class Notes

ZIP

Pandas

21st April - Introduction to Pandas

Video

2:2:37

21st April - Introduction to Pandas Class Notes

ZIP

22nd April - Pandas - DataFrame, Adding New Column, Accessing Data & Loading Different Source files

Video

2:2:34

22nd April - Pandas DF, Adding New Col, Accessing Data & Loading Different Source Class Notes

ZIP

23rd April - Statistical functions Live Class

Video

2:2:37

23rd April - Statistical functions Class Notes

ZIP

24th April - Data Exploration

Video

2:7:11

24th April - Data Exploration Class Notes

ZIP

25th April - Working with Null Values and Outliers

Video

1:48:38

25th April - Working with Null Values and Outliers Class Notes

ZIP

Datasets

ZIP

28th April - GroupBy using aggregated function and Data Cleaning

Video

2:3:12

29th April - GroupBy using aggregated function and Data Cleaning Part - 2

Video

1:59:30

29th April - GroupBy using aggregated function and Data Cleaning Part 1 and 2 - Class Notes

ZIP

02nd May - Data Handling and Merging

Video

1:33:44

02nd May - Data Handling and Merging Class Notes

ZIP

Data Analysis with Python Materials

Numpy

ZIP

Pandas

ZIP

Data Visualization

ZIP

Matplotlib and Seaborn

05th May - Introduction to Data Visualization

Video

2:013

05th May - Introduction to Data Visualization Class Notes

ZIP

06th May - Matplotlib Class - 1

Video

1:32:29

7th May - Matplotlib class - 2

Video

1:24:39

7th May - Matplotlib class - 2 class notes

ZIP

8th May - Seaborn class - 1

Video

1:34:28

9th May - Seaborn class - 2

Video

1:53:54

9th May - Seaborn class - 2 class notes

ZIP

Statistics

12th May - Statistics Introduction

Video

1:33:48

13th May - Covariance, Correlation and Probability

Video

1:48:31

13th May - Covariance, Correlation and Probability class notes

ZIP

14th May - Introduction Probability

Video

1:43:11

14th May - Probability Distribution

ZIP

15th May - Probability Distribution

Video

1:37:17

15th May - Q - Q plots for various distributions

ZIP

16th May - Data Transformation

Video

1:55:50

16th May - Data Transformation

ZIP

19th May - Introduction to Inferential stats

ZIP

19th May - Introduction to Inferential Statistics

Video

1:35:25

21st May - Sampling Techniques in Statistics

ZIP

22nd May - Point Estimator and Central Limit Theorem

ZIP

23rd May - Confidence Interval Problems

ZIP

21st May - Sampling Techniques

Video

1:35:25

22nd May - Point Estimator and Central Limit Theorem

Video

1:36:58

23rd May - Introduction to Hypothesis, Z and T Procedure

Video

1:49:49

26th May - Hypothesis and Types of Errors

Video

1:51:10

Course Instructor

Innomatics Research Labs

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Trainer

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