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Reserve Your Spot Now!Exploratory Data Analysis Using Python
The course demonstrates how to approach a dataset for the first time using Python and its libraries for performing EDA
3 Hours 54 Mins
₹5,999/-₹11,999/-
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Created by
Jobaaj Learnings
Course description
Prerequisite
-
Knowledge Of Python
-
Knowledge of libraries like Numpy, Pandas, Matplotlib, etc.
What you will Learn ?
-
Analyze the correlations between the features
-
Make a visual representation of how the features predict
-
Analyze a dataset to derive valuable insights
Lesson List
1
Introduction
What is EDA?
00:14:18
Why EDA is important?
00:09:48
Dataset description & Attribute Information
00:13:12
What Libraries to use?
00:10:13
2
Univariate analysis
Understanding the Data
00:19:01
General Stats Analysis
00:14:26
Frequency Visualization
00:20:00
3
Approach for EDA
LIVE Session on Approach for EDA
02:13:24
4
Sample Projects
Stock Market Analysis using Python
5
EDA Projects
15+ Projects for EDA in multiple Domains
- Analyze the correlations between the features
- Make a visual representation of how the features predict
- Analyze a dataset to derive valuable insights
Lesson List
1
Introduction
What is EDA?
00:14:18Why EDA is important?
00:09:48Dataset description & Attribute Information
00:13:12What Libraries to use?
00:10:132
Univariate analysis
Understanding the Data
00:19:01General Stats Analysis
00:14:26Frequency Visualization
00:20:003
Approach for EDA
LIVE Session on Approach for EDA
02:13:244
Sample Projects
Stock Market Analysis using Python
5
EDA Projects
15+ Projects for EDA in multiple Domains
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