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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PRO

2 projects

Master Data Analytics in Excel

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BASICS

4.51 102.9K+ 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

4.55 12.7K+ learners 2 hrs

Basics of EDA with Python

Skills: Practical visualization walkthrough, IPL data analysis with Python

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BASICS

Intro to Exploratory Data Analysis with Excel

4.59 16.3K+ learners 1.5 hrs

Intro to Exploratory Data Analysis with Excel

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

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BASICS

4.56 84.7K+ learners 2 hrs

Data Visualization using Python

Skills: Python Basics, NumPy, Pandas, Matplotlib, Seaborn, Plotly

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BASICS

4.5 2.3K+ learners 1 hr

Multiple Variate Analysis

Skills: Introduction to Data Analysis, Understanding Multivariate Analysis, Various MVA Techniques, Advantages of MVA, Demonstration in Python,

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BASICS

4.44 1.9K+ learners 1.5 hrs

Outlier Detection

Skills: Outlier Detection, Handling missing values and outliers, Data Visualization

View Course

BASICS

Exploratory Data Analysis Essentials

4.51 102.9K+ learners 1.5 hrs

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

BASICS

Basics of EDA with Python

4.55 12.7K+ learners 2 hrs

Skills: Practical visualization walkthrough, IPL data analysis with Python

BASICS

Intro to Exploratory Data Analysis with Excel

4.59 16.3K+ learners 1.5 hrs

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

BASICS

Data Visualization using Python

4.56 84.7K+ learners 2 hrs

Skills: Python Basics, NumPy, Pandas, Matplotlib, Seaborn, Plotly

BASICS

Multiple Variate Analysis

4.5 2.3K+ learners 1 hr

Skills: Introduction to Data Analysis, Understanding Multivariate Analysis, Various MVA Techniques, Advantages of MVA, Demonstration in Python,

BASICS

Outlier Detection

4.44 1.9K+ learners 1.5 hrs

Skills: Outlier Detection, Handling missing values and outliers, Data Visualization

Explore Courses

Learner reviews of the Free Exploratory Data Analysis Courses

Our learners share their experiences of our courses

4.55

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Logeswaran M

5.0

★★★★ ★

“Fantastic Teaching and Great Learning Experience”

Data analysis provides valuable insights by transforming raw data into actionable knowledge. With the guidance of a trainer who offered great explanations, complex concepts were made clearer, enabling a deeper understanding of statistical tools, data visualization, and decision-making processes. This hands-on experience enhanced my ability to identify trends, uncover opportunities, and apply data-driven strategies effectively.

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Saiprakash Yamsani

4.0

★★★ ★ ☆

India

“The EDA Basics Course Provided a Strong Introduction to Data Exploration Techniques”

Overall, this course was an excellent introduction to EDA. I feel more confident in my ability to analyze and interpret data. I would recommend it to anyone starting their journey in data analysis.

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Mario Delgado

5.0

★★★★ ★

“Excellent Course with Detailed Explanations and Practical Examples”

The course was very complete. I found the section on [specific topic] especially interesting. The real examples used by the professor were very illustrative. This course has motivated me to continue exploring the topic of data analysis. The additional resources recommended by the teacher are very useful. I am deeply grateful for all the help.

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Sakeena Fatima

5.0

★★★★ ★

India

“Informative and Well-Structured Course with Helpful Hands-On Exercises”

The course provided a solid foundation in data manipulation techniques. The hands-on exercises were particularly helpful in reinforcing the concepts. The instructor's explanations were clear and concise, making it easy to follow along. While the course covered a wide range of topics, a deeper dive into advanced data cleaning and visualization techniques would have been beneficial. Overall, the course was a valuable learning experience.

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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.

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sindhu kommineni

5.0

★★★★ ★

India

“Clear, Easy to Follow, and Packed with Useful Information”

I liked how the course was clear, easy to follow, and packed with useful information.

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Parambeer Singh

5.0

★★★★ ★

India

“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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Opeyemi Sadiku

5.0

★★★★ ★

Nigeria

“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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Animesh Saravanan

5.0

★★★★ ★

India

“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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Mohammad Yasin Qarizada

5.0

★★★★ ★

“Interactive Learning Environment”

Everything including the instructors, the topics, and the depth of the sessions are perfect.

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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.