Exploratory Data Analysis (EDA) for Machine Learning

Name: Exploratory Data Analysis (EDA) for Machine Learning
Price: 299.00 USD

6 Lesson

7 Hours

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Exploratory Data Analysis (EDA) for Machine Learning helps you understand how to explore and analyze datasets before building machine learning models. In this course, you will learn how to examine data distributions, identify patterns and outliers, and visualize data using practical analysis techniques. You will also learn how to summarize datasets, understand relationships between variables, and generate insights that improve machine learning model performance. This course is suitable for beginners, students, and professionals who want to build strong data analysis skills for machine learning and data science.

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Overview

igmGuru offers Exploratory Data Analysis (EDA) for Machine Learning online training delivered by experienced data professionals through live classes. After completing the course, you will be prepared for job roles such as Data Analyst, Junior Data Scientist, Machine Learning Engineer, and Data Science Associate.

Prerequisites

Basic understanding of Python programming
Familiarity with datasets and basic data concepts
Basic knowledge of statistics is helpful but not required
Interest in machine learning and data analysis

What You Will Learn

Fundamentals of exploratory data analysis (EDA)
Techniques for summarizing and analyzing datasets
Identifying patterns, trends, and anomalies in data
Data visualization techniques for analysis
Understanding relationships between variables
Generating insights for machine learning models

Key Features

100% Money-Back Guarantee
Flexible Schedule
Get Certified & Get Placed
Experienced & Professional Trainers
Small Batches Upto 10 Participants
24 X 7 Lifetime Support & Access

Course Curriculum

Lesson 1 - Introduction to Exploratory Data Analysis

1. Role of EDA in machine learning projects

2. Understanding datasets and data structure

3. Overview of EDA workflow

Lesson 2 - Data Inspection and Summary Statistics

1. Dataset overview and data types

2. Descriptive statistics (mean, median, variance)

3. Identifying missing values and duplicates

Lesson 3 - Data Distribution Analysis

1. Understanding data distributions

2. Detecting skewness and outliers

3. Interpreting distribution patterns

Lesson 4 - Data Visualization Techniques

1. Using histograms and box plots

2. Scatter plots and pair plots

3. Correlation heatmaps for variable relationships

Lesson 5 - Relationship and Correlation Analysis

1. Understanding correlation between variables

2. Feature relationships in datasets

3. Identifying important variables for modeling

Lesson 6 - EDA Workflow for Machine Learning

1. Preparing insights for machine learning models

2. Documenting data observations

3. Best practices for exploratory data analysis

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Course Fees

Online Class Room Program

US $ 299.00

100% Money Back Guarantee

Duration : 7 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 28 May 2026
Weekday Batch 01 Jun 2026
Weekend Batch 30 May 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

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Certification

After completing the Exploratory Data Analysis (EDA) for Machine Learning Training, you will receive an igmGuru Course Completion Certificate. This certification confirms your understanding of key data exploration techniques such as dataset inspection, summary statistics, pattern identification, and data visualization used in machine learning projects.

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Exploratory Data Analysis (EDA) for Machine Learning