Exploratory Data Analysis Courses and Certifications

Whizlabs

Exploratory Data Analysis in AWS

Analyze data streams and analytics services in AWS, implement Kinesis, explore AWS Glue, and create ETL jobs for effective data analysis and visualization in machine learning projects.

• Coursera
• 6 hours 18 minutes
• On-Demand
• Paid Course

Coursera

Transforming Exploratory Data Analysis with AI

Discover how to leverage Generative AI to automate exploratory data analysis workflows, from data cleaning to visualization, while ensuring ethical use and accuracy for faster, more insightful decision-making across various fields.

• Coursera
• 5 hours 18 minutes
• On-Demand
• Paid Course

Coursera

Conducting Exploratory Data Analysis

Systematic approach to investigate data using Python: comparisons, relationships, compositions, and distributions. Framework for professional and organized exploratory data analysis with seaborn, pandas, and matplotlib.

• Coursera
• 2 hours 3 minutes
• On-Demand
• Paid Course

Exploratory Data Analysis and Visualization

Discover how to transform raw data into meaningful insights using R's visualization tools, creating engaging visuals and understanding statistical patterns with AI assistance.

• Coursera
• 1 day 2 hours 5 minutes
• On-Demand
• Paid Course

Packt

Exploratory Data Analysis & Core ML Algorithms

Master exploratory data analysis and core ML algorithms including linear regression, logistic regression, Naive Bayes, and decision trees through hands-on projects and real-world applications.

• Coursera
• 14 hours 5 minutes
• On-Demand
• Paid Course

EDUCBA

Apply Exploratory Data Analysis with R and ggplot2

Master data exploration and visualization using R and ggplot2 to uncover patterns, analyze relationships, and create professional plots for data-driven insights.

• Coursera
• 5 hours 43 minutes
• On-Demand
• Paid Course

Microcredential

Data Science: Foundations using R

48187 ratings at Coursera

Master foundational data science skills: R programming, data manipulation, visualization, and reproducible research techniques for effective analysis and communication.

• Coursera
• 16 weeks, 10 hours a week
• On-Demand
• Paid Course
• 5 courses

Introduction to Probability and Data with R

6 reviews

Learn sampling, data exploration, and basic probability using R. Gain practical skills in statistical analysis through hands-on exercises and a final project.

• Coursera
• 14 hours 35 minutes
• On-Demand
• Paid Course

Exploratory Data Analysis in Python

78 ratings at Codecademy

Learn about exploratory data analysis (EDA) techniques.

• Codecademy
• 6 hours
• On-Demand
• Free Trial Available

Exploratory Data Analysis for Data Science with R Software (English)

Master statistical tools and graphical techniques for data analysis using R software, covering everything from basic concepts to multivariate analysis over 12 comprehensive weeks.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Great Learning

IPL Data Analysis Using EDA - EDA Case Study - What Is EDA? - Great Learning

Practical guide to IPL data analysis using EDA, covering key concepts, techniques, and real-world applications in Python for extracting insights from cricket statistics.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Great Learning

Top 10 Indian Foods Analysis Using Python

Analyze top Indian foods using Python, covering data manipulation, visualization, and machine learning. Learn pandas, NumPy, Matplotlib, Seaborn, and scikit-learn for exploratory data analysis on Indian cuisine dataset.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Rob Mulla

Complete Data Science Project

Explore Wordle tweet data through comprehensive EDA using Python, pandas, and matplotlib. Learn data wrangling, visualization techniques, and gain insights from a Kaggle Grandmaster's analysis.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Data Science: Visualization

6 reviews

Learn basic data visualization principles and how to apply them using ggplot2.

• edX
• 8 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Alex the Analyst

Exploratory Data Analysis in Python Using Pandas

Master essential data analysis techniques using Pandas, from basic data exploration to advanced visualization with seaborn. Learn to handle null values, create correlations, group data, and identify outliers effectively.

• YouTube
• 32 minutes
• On-Demand
• Free Video