EDA Using Python | Pune | M0100371
Course Instructors:
Innomatics Research Labs, DS Mentor
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 Exercises • 93 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
01:59:18
5th March - Numpy functions
Video
02:02:17
7th March - "Introduction to Pandas "
Video
02:13:17
10th March - "Data Structures in Pandas "
Video
01:58:27
11th March - "Read csv and excel file "
Video
01:47:12
12th March - Subset Dataframe and Duplicates in Pandas
Video
01:58:03
Data Exploration
ZIP
13th March - Data Exploration in Pandas
Video
01:40:54
14th March - "Series in pandas "
Video
02:03:18
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
02:05:18
18th March - "Inserting Rows, Creating Columns, Renaming and Type Casting "
Video
01:43:49
20th March - "Data Exploration and dealing with categories "
Video
01:49:58
19th March - "Pandas revision, Merging, dealing with categories "
Video
02:01:31
21st March - Concatenation and Merging
Video
02:11:36
25th March - "Continuation of Concatenation "
Video
01:56:14
26th March - "Outliers and Z-score in Data "
Video
02:05:28
08 Apr- EDA Pandas Visualization
ZIP
27th March - Datetime and Apply Function
Video
01:58:42
09 Apr - Descriptive Statistics
ZIP
10 Apr - Advanced Matplotlib Part 1
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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
02:04:31
11th April - Advance plotting with Matplotlib
Video
01:57:25
14th April - "Advance plotting with seaborn "
Video
01:49:11
15h April - EDA- case study [Loan Data]
Video
01:46:35
16th April - EDA- case study [Loan Data]
Video
01:49:24
17th April - EDA- case study [Loan Data]
Video
01:53:06
21st April - EDA- case study [Loan Data]
Video
01:51:52
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
02:01:05
23rd April - EDA- case study [Loan Data]
Video
01:44:39
24th April - EDA- case study [Cars Data]
Video
01:52:49
24 Apr - EDA Used Car Price Prediction Part 1
ZIP
25th April - EDA- case study [Cars Data]
Video
02:03:45
25 Apr - EDA Used car price Prediction Part2
ZIP
26th April - Pandas Revision
Video
02:21:10
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
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4th_april_web_scrapping
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7th_april_web_scrapping_multiple_pages
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1st April - Introduction to Regular Expression
Video
01:45:06
2nd April - Problem solving using Regex
Video
01:55:17
3rd April - Problem solving using Regex Continue
Video
01:54:45
4th April - Data Collection using Web Scrapping
Video
02:13:59
7th April - web scrapping multiple pages
Video
02:09:27
9th April - Introduction to descriptive statistics
Video
02:04:31
10th April - Problem solving- Descriptive statistics
Video
01:57:05
11th April - Advance plotting with Matplotlib
Video
01:57:25
14th April - "Advance plotting with seaborn "
Video
01:49:11
15h April - EDA- case study [Loan Data]
Video
01:46:35
16th April - EDA- case study [Loan Data]
Video
01:49:24
17th April - EDA- case study [Loan Data]
Video
01:53:06
EDA_mobilesData
ZIP
Advance Statistics
28 Apr - Introduction to probability
ZIP
28th April - Introduction to Probability
Video
01:37:57
29th April - Axioms of Probability
Video
01:39:33
30th April - Types of Probability
Video
01:54:19
2nd May - "Introduction to Distribution "
Video
01:53:23
02 May - Introduction to Distributions
ZIP
05 May - Discrete Distributions- Bernoulli Binomial Poisson
ZIP
5th May - Distributions - Bernoulli, Binomial, Poison
Video
01:51:26
6th May - Distributions - Uniform, normal, QQ Plot
Video
01:53:41
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
01:49:38
8th May -
Video
01:38:37
9th May -
Video
01:45:35
12th May -
Video
01:49:54
13th May -
Video
01:47:07
14th May -
Video
01:37:01
15th May -
Video
01:50:30
16 May - Hypothesis Testing and Statistical Tests
ZIP
16th May -
Video
02:00:39
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
579 Courses • 36982 Students
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DS Mentor
244 Courses • 8183 Students
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