Exploratory Data Analysis Courses

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Join our free Exploratory Data Analysis courses and learn key statistical and visualization techniques. Boost your data science skills and make informed decisions. Enroll now and earn certificates upon course completion.

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4.89

4.94

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UNIVERSITY

Great Learning

Generative AI for Practitioners

12 weeks • Online

UNIVERSITY

Walsh College

MS in Artificial Intelligence & Machine Learning

2 Years • Online

PRO

2 projects

Master Data Analytics in Excel

View Course

UNIVERSITY

MIT IDSS

AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact

12 weeks • Online

UNIVERSITY

MIT Professional Education

No Code and Agentic AI

14 Weeks • Online

Learn from MIT Faculty

UNIVERSITY

Johns Hopkins University

Applied Generative AI and Agentic AI

16 weeks • Online

BASICS

4.51 103.7K+ learners 1.5 hrs

Exploratory Data Analysis Essentials

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

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BASICS

Intro to Exploratory Data Analysis with Excel

4.6 16.6K+ learners 1.5 hrs

Intro to Exploratory Data Analysis with Excel

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

View Course

PRO

2 projects

Master Data Analytics in Excel

View Course

BASICS

4.55 12.8K+ learners 2 hrs

Basics of EDA with Python

Skills: Practical visualization walkthrough, IPL data analysis with Python

View Course

BASICS

Exploratory Data Analysis Essentials

4.51 103.7K+ learners 1.5 hrs

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

BASICS

Intro to Exploratory Data Analysis with Excel

4.6 16.6K+ learners 1.5 hrs

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

PRO

Master Data Analytics in Excel

4.5 62.9K+ learners 5.5 hrs

BASICS

Basics of EDA with Python

4.55 12.8K+ learners 2 hrs

Skills: Practical visualization walkthrough, IPL data analysis with Python

Explore Courses

Learner reviews of the Free Exploratory Data Analysis Courses

Our learners share their experiences of our courses

4.54

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72%

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19%

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Madhuryya Kashyap

5.0

★★★★ ★

India

“Transformative Learning Journey: Insights and Growth Through New Skills”

During this learning experience, I gained valuable insights into data analysis and visualization techniques. I explored various libraries and tools that enhanced my ability to manipulate data effectively, create impactful visualizations, and uncover meaningful patterns. Additionally, I developed a deeper understanding of machine learning concepts, which has broadened my perspective on how data can drive decision-making. Overall, this journey has empowered me with practical skills and a renewed passion for leveraging data to solve real-world problems.

Dhanashri Bhusare

5.0

★★★★ ★

India

“Exploratory Data Analysis (EDA) is a crucial step”

Exploratory Data Analysis (EDA) is a crucial step in the data analysis process that involves summarizing the main characteristics of a dataset, often using visual techniques. It helps in understanding the structure of data, detecting patterns, spotting anomalies, testing hypotheses, and checking assumptions. Here are the key aspects of EDA: Data Summarization, Descriptive Statistics: Calculating measures such as mean, median, standard deviation, range, minimum, and maximum to understand the central tendency and spread of the data.

SWAROOP KUMAR

4.0

★★★ ★ ☆

India

“Basics of Exploratory Data Analysis”

An introductory Exploratory Data Analysis (EDA) course using R language focuses on understanding and summarizing datasets to uncover patterns, trends, and insights. Participants learn essential R programming skills, including data manipulation, visualization, and statistical analysis. The course typically covers key concepts such as descriptive statistics, data visualization techniques using libraries like ggplot2, and exploratory techniques to handle missing data and outliers.

D Marshal Valan

5.0

★★★★ ★

India

“One of the standout features of the course”

The course was well-structured, with a perfect balance between theory and practical applications. The materials provided were comprehensive and easy to follow, and the assignments helped solidify my understanding of the core concepts. One of the standout features of the course was the quality of the instructors. They were knowledgeable, approachable, and provided timely feedback on all queries. The interactive sessions, along with real-world case studies, made the learning experience truly engaging. Overall, the course has significantly boosted my skills.

Alfredo Leão

5.0

★★★★ ★

“One of the Highlights of My Learning Is Understanding How Data Science Evolves and Adapts to Different Contexts”

The Data Science course at Great Learning has been an excellent experience for me, providing practical and accessible training in data analysis. I learned about statistics, Python programming, and how to use tools like Pandas, while also working on real-world projects. The mentorship was invaluable in clarifying my doubts and deepening my understanding. The course is flexible, allowing me to study at my own pace, and at the end, I will receive a certificate that will definitely help me stand out in the job market, which is in high demand for data science professionals.

Nireeksha Naresh

5.0

★★★★ ★

India

“It was an informative session and the course helped”

There's nothing more left for me to say as every aspect of this course was top-notch.

Gopi Renuka

5.0

★★★★ ★

India

“Easy learning in data analysis with clear explanations”

Experience in data analysis is very nice with easy explanations and examples.

Abramo Azer

4.0

★★★ ★ ☆

Italy

“Interesting course explaining the basics of data analysis and R”

An interesting course both for teaching data analysis and for teaching R.

CHIRRABOYINA MANEESHA

5.0

★★★★ ★

India

“Basics of Exploratory Data Analysis is an important concept”

Everything is fine. It is really a nice opportunity for a student to learn and gain knowledge for free.

parsheela NG

5.0

★★★★ ★

India

“Basics of Exploratory Data Analysis”

I enjoyed learning about data visualization techniques and how to effectively summarize datasets. The hands-on exercises made the concepts much clearer and more engaging!

Meet your faculty

Meet industry experts who will teach you relevant skills in artificial intelligence

Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.