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EDA Using Python | Pune | M0100371

Course Instructors Innomatics Research Labs Trainer

FREE

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Course Overview

Schedule of Classes

Start Date & End Date

Apr 28 2025 - May 20 2025

Total Classes

51 Classes

Course Curriculum

1 Subject

EDA Using Python | Pune | M0100371

26 Exercises93 Learning Materials

EDA Using Python

Numpy_Day1

ZIP

Pandas Series

ZIP

Series and Dataframes

ZIP

Practice assessment on Dataframes

ZIP

Subset and Duplicates

ZIP

3rd March - "Introduction to Numpy and Operations "

Video
1:59:18

5th March - Numpy functions

Video
2:2:17

7th March - "Introduction to Pandas "

Video
2:13:17

10th March - "Data Structures in Pandas "

Video
1:58:27

11th March - "Read csv and excel file "

Video
1:47:12

12th March - Subset Dataframe and Duplicates in Pandas

Video
1:58:3

Data Exploration

ZIP

13th March - Data Exploration in Pandas

Video
1:40:54

14th March - "Series in pandas "

Video
2:3:18

Central tendancies and spread of data

PDF

Numpy_Descriptive_stats

ZIP

series_and_dataframe_Basics

ZIP

concatenation_merging_duplicates_handling

ZIP

dealing_with_categorical_data

ZIP

Dealing_with_outliers

ZIP

17th March - "Numpy functions for central tendancy, measure of spread , measure of asymetry "

Video
2:5:18

18th March - "Inserting Rows, Creating Columns, Renaming and Type Casting "

Video
1:43:49

20th March - "Data Exploration and dealing with categories "

Video
1:49:58

19th March - "Pandas revision, Merging, dealing with categories "

Video
2:1:31

21st March - Concatenation and Merging

Video
2:11:36

25th March - "Continuation of Concatenation "

Video
1:56:14

26th March - "Outliers and Z-score in Data "

Video
2:5:28

08 Apr- EDA Pandas Visualization

ZIP

27th March - Datetime and Apply Function

Video
1:58:42

09 Apr - Descriptive Statistics

ZIP

10 Apr - Advanced Matplotlib Part 1

ZIP

11 Apr - Advanced Matplotlib Part 2

ZIP

14 Apr - Advanced Visualization with Seaborn

ZIP

15 Apr - EDA Case Study Part 1

ZIP

16 Apr - EDA Case Study Part 2

ZIP

9th April - Introduction to descriptive statistics

Video
2:4:31

11th April - Advance plotting with Matplotlib

Video
1:57:25

14th April - "Advance plotting with seaborn "

Video
1:49:11

15h April - EDA- case study [Loan Data]

Video
1:46:35

16th April - EDA- case study [Loan Data]

Video
1:49:24

17th April - EDA- case study [Loan Data]

Video
1:53:6

21st April - EDA- case study [Loan Data]

Video
1:51:52

22 Apr - EDA Case Study Part 4

ZIP

17 Apr - EDA case study Part3

ZIP

23 Apr - EDA Case Study Part 5

ZIP

22nd April - EDA- case study [Loan Data]

Video
2:1:5

23rd April - EDA- case study [Loan Data]

Video
1:44:39

24th April - EDA- case study [Cars Data]

Video
1:52:49

24 Apr - EDA Used Car Price Prediction Part 1

ZIP

25th April - EDA- case study [Cars Data]

Video
2:3:45

25 Apr - EDA Used car price Prediction Part2

ZIP

26th April - Pandas Revision

Video
2:21:10

Assignments

Data Analysis - Numpy

Assignment

Data Analysis - Pandas

Assignment

Data Analysis - Visualization

Assignment

data_types

PDF

Final Project- Data collection using Web Scrapping and EDA.

Assignment

Daily Tasks

Task 1- Numpy

Assignment

Task 2 - Numpy I

Assignment

Task 3 - Creating the DataFrames

Assignment

Task 4- Converting Dataframe from one format to another format

Assignment

Task 5- Descriptive stats in Numpy, Array broadcasting, set operations

Assignment

Task 6- Handling Missing Values

Assignment

Task 7- GroupBy

Assignment

Task 8- Joins

Assignment

Task 9- Visualization Theory

Assignment

Task 10 - Visualization plotting

Assignment

Data Collection - Regex | Web Scraping

1_april_Introduction_to_regex

ZIP

2nd_3rd_april_implementing_regex

ZIP

4th_april_web_scrapping

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7th_april_web_scrapping_multiple_pages

ZIP

1st April - Introduction to Regular Expression

Video
1:45:6

2nd April - Problem solving using Regex

Video
1:55:17

3rd April - Problem solving using Regex Continue

Video
1:54:45

4th April - Data Collection using Web Scrapping

Video
2:13:59

7th April - web scrapping multiple pages

Video
2:9:27

9th April - Introduction to descriptive statistics

Video
2:4:31

10th April - Problem solving- Descriptive statistics

Video
1:57:5

11th April - Advance plotting with Matplotlib

Video
1:57:25

14th April - "Advance plotting with seaborn "

Video
1:49:11

15h April - EDA- case study [Loan Data]

Video
1:46:35

16th April - EDA- case study [Loan Data]

Video
1:49:24

17th April - EDA- case study [Loan Data]

Video
1:53:6

EDA_mobilesData

ZIP

Advance Statistics

28 Apr - Introduction to probability

ZIP

28th April - Introduction to Probability

Video
1:37:57

29th April - Axioms of Probability

Video
1:39:33

30th April - Types of Probability

Video
1:54:19

2nd May - "Introduction to Distribution "

Video
1:53:23

02 May - Introduction to Distributions

ZIP

05 May - Discrete Distributions- Bernoulli Binomial Poisson

ZIP

5th May - Distributions - Bernoulli, Binomial, Poison

Video
1:51:26

6th May - Distributions - Uniform, normal, QQ Plot

Video
1:53:41

06 May -Continuos Distributions - Uniform, Normal,QQ Plot

ZIP

07 May - Feature Scaling QQ Plot

ZIP

08 May - Distribution Case Study

ZIP

12 May - Point Estimate Central Limit Theorem

ZIP

14 May - Confidence Interval

ZIP

7th May -

Video
1:49:38

8th May -

Video
1:38:37

9th May -

Video
1:45:35

12th May -

Video
1:49:54

13th May -

Video
1:47:7

14th May -

Video
1:37:1

15th May -

Video
1:50:30

16 May - Hypothesis Testing and Statistical Tests

ZIP

16th May -

Video
2:039

EDA Problem Solving Tasks

Understand your data

Assignment

Clean your data

Assignment

Transform your data

Assignment

Combine your data

Assignment

Group and aggregate your data

Assignment

Visualize your data

Assignment

Analyze statistics in your data

Assignment

Work with time in your data

Assignment

Clean up and delete your data

Assignment

Exploratory Data Analysis on your Data

Assignment

Assignments_Statistics

Probability

Assignment

Basics Distibution

Assignment

Course Instructor

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Innomatics Research Labs

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Trainer

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