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Pro & University Programs

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Master Data Analytics in Excel
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2 projects
5.5 hrs video content

Free Exploratory Data Analysis Courses

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Exploratory Data Analysis Essentials
star   4.51 101.6K+ learners
1.5 hrs
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Basics of EDA with Python
star   4.55 12.5K+ learners
2 hrs
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Intro to Exploratory Data Analysis with Excel
star   4.59 15.8K+ learners
1.5 hrs
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Data Visualization using Python
star   4.55 83K+ learners
2 hrs
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Multiple Variate Analysis
star   4.5 2.2K+ learners
1 hr
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Outlier Detection
star   4.44 1.9K+ learners
1.5 hrs
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Exploratory Data Analysis Essentials
star   4.51 101.6K+ learners 1.5 hrs
img icon FREE
Basics of EDA with Python
star   4.55 12.5K+ learners 2 hrs
img icon FREE
Intro to Exploratory Data Analysis with Excel
star   4.59 15.8K+ learners 1.5 hrs
img icon FREE
Data Visualization using Python
star   4.55 83K+ learners 2 hrs
img icon FREE
Multiple Variate Analysis
star   4.5 2.2K+ learners 1 hr
img icon FREE
Outlier Detection
star   4.44 1.9K+ learners 1.5 hrs

Learner reviews of the Free Exploratory Data Analysis Courses

Our learners share their experiences of our courses

4.54
71%
20%
5%
1%
2%
Reviewer Profile

5.0

“Excellent Course for Learning EDA Basics”
This course provided a solid foundation in Exploratory Data Analysis. The use of practical tools and real-world examples made it easy to understand the core concepts. The quizzes and assignments were well-designed and helped reinforce my learning. Overall, a great course for anyone looking to get started with EDA.

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5.0

“Learning How to Manipulate and Visualize Data Effectively Was the Highlight of the Course”
I particularly enjoyed the hands-on case study with the Pokemon dataset, as it allowed me to apply the concepts learned in real-world scenarios. The interactive lessons on dplyr and ggplot2 were also very insightful and helped deepen my understanding of data analysis.

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5.0

“Good Explanation with Proper Examples”
The course provided a comprehensive understanding of the subject, with well-structured materials and engaging lectures. The interactive sessions and practical assignments were particularly helpful in reinforcing the concepts. However, I would appreciate more real-world examples to further bridge theory and practice.

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Reviewer Profile

5.0

“Clear and Easy Instruction and Teaching”
The example and project-based curriculum and the way the instructor explains are fully and clearly presented.

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Reviewer Profile

5.0

“This Was a Great Course! I Highly Recommend It!”
The course was great and very informative. I enjoyed gaining some knowledge.

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Reviewer Profile

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.

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5.0

“Basics of Exploratory Data Analysis”
I liked the curriculum, the skills and tools used, the instructor, the depth of the topic, and the quiz questions covered all that was taught.

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Reviewer Profile

5.0

“I Learned How to Use R for Data Manipulation and Exploration”
The course presentation was clear and to the point. The demonstrations were also very simplified and helped to aid easy understanding.

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Reviewer Profile

5.0

“EDA's Learning Is Engaging and Exciting!”
EDA's great learning experience fosters curiosity and engagement. The interactive approach encourages deeper understanding, while the supportive environment enhances collaboration. Overall, it's an enriching journey that empowers learners to thrive!

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Reviewer Profile

5.0

“Interactive Learning Environment”
Everything including the instructors, the topics, and the depth of the sessions are perfect.

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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


Meet your faculty

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

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Mr. Bharani Akella

Data Scientist
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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