EDA Using Python | PUNE | M0100486

Course Instructor: Innomatics Research Labs

FREE

Course Overview

Schedule of Classes

Start Date & End Date

Aug 23 2025 - Aug 23 2025

Total Classes

36 Classes

Course Curriculum

1 Subject

EDA Using Python | PUNE | M0100486

61 Learning Materials

EDA Using Python

03 Jul - Introduction and Creation of Numpy array

ZIP

04 Jul - Mathematical and Statistical Function on arrays

ZIP

07 Jul - Array manipulation(joining) and Array Broadcasting

ZIP

08 Jul - Introduction To pandas

ZIP

30th June Introduction to EDA

Video

02:01:21

1st July Descriptive Statistics

Video

01:46:21

2nd July Skewness, Kurtosis and Introduction to numpy

Video

01:58:51

09 Jul - Reading Files in Pandas

ZIP

3rd July Accessing elements and manipulation on arrays

Video

02:01:55

4th July Numpy - Mathematical and Statistical Function on arrays

Video

02:07:58

7th July Array manipulation(joining) and Array Broadcasting

Video

02:02:34

8th July Introduction to Pandas

Video

01:54:09

10 Jul - Loc and Iloc functions and handling duplicates

ZIP

11 Jul - Descriptive stats and Missing values

ZIP

15 Jul - Detecting and Handling outliers

ZIP

16 Jul - Detecting and Handling outliers with Zscore

ZIP

18 Jul - Functions in Pandas Part 1 and Part 2

ZIP

9_July_Pandas - Reading files

Video

01:58:23

10_July_loc,iloc and handling duplicate values

Video

01:55:22

11_July_Descriptive Statistics and Handling Missing Values

Video

02:00:59

15_July_Handling missing values, Detecting outliers

Video

01:54:33

16_July_Handling Outliers - Zscore

Video

01:54:16

17_July_Outliers - zscore and functions - Part 1

Video

02:01:17

18_July_Functions in Pandas

Video

01:03:30

18_July_Functions in Pandas Part 2

Video

00:51:13

23 Jul - Data Visualization with Pandas

ZIP

25 Jul - concat merge join agg apply

ZIP

21 Jul - String Methods

ZIP

22 Jul - Noisy and Inconsistent data Handling

ZIP

29 Jul - Case Study - Adult Income Introduction to visualization

ZIP

30 Jul - Matplotlib part 1

ZIP

21st July String Methods and Datetime in Pandas

Video

02:03:52

22nd July Noisy and Inconsistent Data

Video

02:09:59

23rd July Visualization in Pandas

Video

02:05:27

25th July Concat,merge,join,agg,apply

Video

02:00:16

28th July

Video

02:06:25

29th July Introduction to Visualization

Video

01:56:49

30th July Matplotlib Part 1

Video

01:58:14

31 Jul - Data Visualization Case Study - Iris Dataset

ZIP

1 Aug - Seaborn - Part 1 and 2

ZIP

04 Aug - Case Study on Data Visualization part 1

ZIP

05 Aug - EDA Case Study Part 1

ZIP

06 Aug - EDA Case Study Part 2

ZIP

08 Aug - Subplots and FacetGrids

ZIP

31st July

Video

01:56:18

1st Aug

Video

02:03:43

4th Aug

Video

02:02:40

5th aug

Video

01:51:48

6th aug

Video

02:00:18

8th aug

Video

01:54:23

11th aug

Video

01:59:34

12th aug

Video

02:02:56

13th aug Web Scraping - BeautifulSoup

Video

01:52:38

14th aug Web Scraping - RegEx

Video

02:00:44

Web Scraping

11 Aug - Web Scraping - Requests Library

ZIP

12 Aug - Web Scraping - BeautifulSoup

ZIP

13 Aug - Web Scraping - BeautifulSoup Part 2

ZIP

14 Aug - Web Scraping - RegEx

ZIP

18 Aug - Web Scraping - Data Cleaning

ZIP

20 Aug - Web Scraping - Data Cleaning

ZIP

21 Aug - Web Scraping - EDA

ZIP

Course Instructor

Innomatics Research Labs

508 Courses • 23323 Students

EDA Using Python | PUNE | M0100486

Course Overview

Schedule of Classes

Aug 23 2025 - Aug 23 2025

36 Classes

Course Curriculum

EDA Using Python | PUNE | M0100486

EDA Using Python

03 Jul - Introduction and Creation of Numpy array

04 Jul - Mathematical and Statistical Function on arrays

07 Jul - Array manipulation(joining) and Array Broadcasting

08 Jul - Introduction To pandas

30th June Introduction to EDA

1st July Descriptive Statistics

2nd July Skewness, Kurtosis and Introduction to numpy

09 Jul - Reading Files in Pandas

3rd July Accessing elements and manipulation on arrays

4th July Numpy - Mathematical and Statistical Function on arrays

7th July Array manipulation(joining) and Array Broadcasting

8th July Introduction to Pandas

10 Jul - Loc and Iloc functions and handling duplicates

11 Jul - Descriptive stats and Missing values

15 Jul - Detecting and Handling outliers

16 Jul - Detecting and Handling outliers with Zscore

18 Jul - Functions in Pandas Part 1 and Part 2

9_July_Pandas - Reading files

10_July_loc,iloc and handling duplicate values

11_July_Descriptive Statistics and Handling Missing Values

15_July_Handling missing values, Detecting outliers

16_July_Handling Outliers - Zscore

17_July_Outliers - zscore and functions - Part 1

18_July_Functions in Pandas

18_July_Functions in Pandas Part 2

23 Jul - Data Visualization with Pandas

25 Jul - concat merge join agg apply

21 Jul - String Methods

22 Jul - Noisy and Inconsistent data Handling

29 Jul - Case Study - Adult Income Introduction to visualization

30 Jul - Matplotlib part 1

21st July String Methods and Datetime in Pandas

22nd July Noisy and Inconsistent Data

23rd July Visualization in Pandas

25th July Concat,merge,join,agg,apply

28th July

29th July Introduction to Visualization

30th July Matplotlib Part 1

31 Jul - Data Visualization Case Study - Iris Dataset

1 Aug - Seaborn - Part 1 and 2

04 Aug - Case Study on Data Visualization part 1

05 Aug - EDA Case Study Part 1

06 Aug - EDA Case Study Part 2

08 Aug - Subplots and FacetGrids

31st July

1st Aug

4th Aug

5th aug

6th aug

8th aug

11th aug

12th aug

13th aug Web Scraping - BeautifulSoup

14th aug Web Scraping - RegEx

Web Scraping

11 Aug - Web Scraping - Requests Library

12 Aug - Web Scraping - BeautifulSoup

13 Aug - Web Scraping - BeautifulSoup Part 2

14 Aug - Web Scraping - RegEx

18 Aug - Web Scraping - Data Cleaning

20 Aug - Web Scraping - Data Cleaning

21 Aug - Web Scraping - EDA

Course Instructor

Innomatics Research Labs

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