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    4.6

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    4.89

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University & Pro Programs

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Great Learning

12 weeks  • Online

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Walsh College

2 Years  • Online

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Master Data Analytics in Excel
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MIT Professional Education

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Johns Hopkins University

16 weeks  • Online

Free Exploratory Data Analysis Courses

FREE
Exploratory Data Analysis Essentials
star   4.51 103.9K+ Learners 1.5 hrs

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

FREE
Intro to Exploratory Data Analysis with Excel
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star   4.59 16.7K+ Learners 1.5 hrs

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

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Exploratory Data Analysis Essentials
star   4.51 103.9K+ Learners 1.5 hrs

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

free icon FREE
Intro to Exploratory Data Analysis with Excel
star   4.59 16.7K+ Learners 1.5 hrs

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

Showcase your complete skill set with a career certificate

Build skills with guided learning and prove your readiness for your future job role.

Data Analyst Career Certificate sample certificate

Data Analyst Career Certificate

6 courses series • Lifetime access

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Exploratory Data Analysis Courses with Certificate


Exploratory Data Analysis (EDA) is essential for discovering data patterns and drawing meaningful insights. These free courses from Great Learning Academy covers crucial statistical and visualization techniques. You'll learn how to explore and summarize datasets, detect anomalies, and interpret data trends. The courses are designed for anyone looking to build a strong foundation in data analysis.

Key Highlights of Our Exploratory Data Analysis Courses:

  • Access to comprehensive, hands-on training

  • Practical exercises with real-world datasets

  • Step-by-step guidance on data exploration

  • Free certification upon completion

Skills Covered

  • Core statistical methods

  • Data visualization techniques

  • Pattern recognition and trend analysis

  • Anomaly detection and data summarization

Who Should Take Our Free Exploratory Data Analysis Courses?

  • Beginners interested in data science

  • Professionals looking to enhance their analytical skills

  • Anyone who wants to gain a foundational understanding of data analysis

What Will You Learn in Our Exploratory Data Analysis Courses?

  • How to effectively explore and analyze data

  • Techniques for visualizing data and identifying trends

  • Methods for detecting and handling anomalies

  • Skills to make informed decisions based on data insights


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Learner reviews of the Free Exploratory Data Analysis Courses

Our learners share their experiences of our courses

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Reviewer Profile

5.0

★★★★ ★
India
“Great Learning in Exploratory Data Analysis”
Great Learning offers various courses that cover Exploratory Data Analysis (EDA) as part of their data science and analytics programs. Here’s an overview of what you might find: Great Learning EDA Course Highlights Comprehensive Curriculum: Foundations of Data Science: Introduction to basic concepts in data analysis. EDA Techniques: Detailed coverage of techniques for data exploration, visualization, and interpretation.
Reviewer Profile

5.0

★★★★ ★
India
“Knowledgeable, Responsive, Supportive”
I recently completed the course, and overall, I found it to be quite informative and well-structured. The content was relevant and covered a wide range of topics that provided me with a solid understanding of the subject matter.
Reviewer Profile

5.0

★★★★ ★
India
“Great Opportunity to Learn Quickly”
This course is very beneficial for beginners and useful for doubt solving.
Reviewer Profile

5.0

★★★★ ★
India
“Effective learning strategies for engagement and retention”
Effective learning can be enhanced through active learning, which involves hands-on activities, discussions, and problem-solving to deepen understanding. Personalization allows learners to progress at their own pace, while continuous feedback keeps them motivated. Real-world applications and collaborative learning boost engagement. Emotional support, technology integration, and retrieval practice strengthen memory. Finally, teaching metacognition empowers learners to regulate their learning process for greater success.
Reviewer Profile

4.0

★★★ ★ ☆
India
“Valuable Knowledge and Experience Gained”
I gained valuable knowledge and experience during this course.
Reviewer Profile

5.0

★★★★ ★
India
“I will learn more skills and tools from this course”
A great learning experience typically encompasses several elements that enhance understanding.
Reviewer Profile

4.0

★★★ ★ ☆
India
“Data Visualization and basic concepts of data”
It's a good course for learning the basics of data structure and the agenda of data science.
Reviewer Profile

4.0

★★★ ★ ☆
“Perfect classes, good and easy to follow”
A well-presented catalog of data science courses all in one package.
Reviewer Profile

5.0

★★★★ ★
Mexico
“I liked the free course, a good introduction”
I liked the ease with which they explain things. It's concise and gets to the point. For a free introductory course, I think it's really good.
Reviewer Profile

5.0

★★★★ ★
India
“Good to learn deep learning from experienced instructors”
It was good to learn deep learning from experienced instructors. It will be helpful for my academics.

Meet your faculty

Meet industry experts who will teach you relevant skills in Exploratory Data Analysis

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Mr. Bharani Akella

Data Scientist
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.
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Denver Dias

Senior Data Science Consultant
  • ◆
    Holds 8+ yrs exp. & delivered AI solutions for Fortune 500 firms
  • ◆
    Expert in A/B testing, ML models, and predictive analytics