• star

    4.8

  • star

    4.89

  • star

    4.94

  • star

    4.7

  • star

    4.8

  • star

    4.89

  • star

    4.94

  • star

    4.7

Free Data Science Introduction Courses

img icon FREE
Introduction to Data Science
star   4.5 68.3K+ learners 1 hr

Skills: Fundamentals of DataScience, Basics of Data Preprocessing techniques, Statistical Distributions,A/B Testing, Time series analysis, Fundamentals of Big Data, Database, Tables, Relationships,Relational Database Management System, Non- relational Databases

img icon FREE
Data Science Essentials
star   4.52 1.6K+ learners 2 hrs

Skills: Introduction to Data Science, Life Cycle of Data, A/B Testing, Time Series, SQL and NoSQL, Big Data

img icon FREE
Data Science Foundations
star   4.45 651.7K+ learners 2 hrs

Skills: Collection & preprocessing, Statistical analysis, Probability, Data acquisition, Supervised & unsupervised learning, Feature engineering, Model evaluation, Classification, Prediction, Clustering, R & Python analysis, Data visualization, Ethics & privacy

img icon FREE
Python for Data Science
star   4.43 116.9K+ learners 2 hrs

Skills: Data Analytics, Problem-solving, Insights, Predictive Modeling, Business Intelligence, Data Science Process, Data Preprocessing Techniques,Data Science Components ,Career Trajectory, Programming Basics,Data Handling using Python,Numpy and Pandas

img icon FREE
R for Data Science
star   4.54 14.3K+ learners 2 hrs

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

img icon FREE
Excel for Data Science for Beginners
partner logo
star   4.49 19.6K+ learners 1.5 hrs

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

img icon FREE
Data Preprocessing
star   4.54 9.8K+ learners 2 hrs

Skills: Data Preparation,Feature Engineering,Variable Scaling,Variable Transformation,Binning the Data,Lambda Function,Correlation Checks for Bivariate Data,Outlier Treatment,Outlier Identification,Data Manipulation,Encoding Categorical Variables

img icon FREE
Probability for Data Science
star   4.47 54.5K+ learners 1.5 hrs

Skills: Basics of Probability, Marginal Probability, Bayes Theorem

img icon FREE
Statistics for Data Science
star   4.58 69.5K+ learners 7.5 hrs

Skills: Probability,Population, Samples,Statistical analysis,Hypothesis testing,Statistical distributions

img icon FREE
SAP S/4HANA Essentials for Beginners
2.8K+ learners 1.5 hrs

Skills: SAP basics, ERP understanding, S/4HANA architecture, core module navigation, AI integration, real-time data analysis, predictive maintenance, project management, process optimization, SAP functional skills.

img icon FREE
Introduction to Data Science
star   4.5 68.3K+ learners 1 hr

Skills: Fundamentals of DataScience, Basics of Data Preprocessing techniques, Statistical Distributions,A/B Testing, Time series analysis, Fundamentals of Big Data, Database, Tables, Relationships,Relational Database Management System, Non- relational Databases

img icon FREE
Data Science Essentials
star   4.52 1.6K+ learners 2 hrs

Skills: Introduction to Data Science, Life Cycle of Data, A/B Testing, Time Series, SQL and NoSQL, Big Data

img icon FREE
Data Science Foundations
star   4.45 651.7K+ learners 2 hrs

Skills: Collection & preprocessing, Statistical analysis, Probability, Data acquisition, Supervised & unsupervised learning, Feature engineering, Model evaluation, Classification, Prediction, Clustering, R & Python analysis, Data visualization, Ethics & privacy

img icon FREE
Python for Data Science
star   4.43 116.9K+ learners 2 hrs

Skills: Data Analytics, Problem-solving, Insights, Predictive Modeling, Business Intelligence, Data Science Process, Data Preprocessing Techniques,Data Science Components ,Career Trajectory, Programming Basics,Data Handling using Python,Numpy and Pandas

img icon FREE
R for Data Science
star   4.54 14.3K+ learners 2 hrs

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

img icon FREE
Excel for Data Science for Beginners
star   4.49 19.6K+ learners 1.5 hrs

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

img icon FREE
Data Preprocessing
star   4.54 9.8K+ learners 2 hrs

Skills: Data Preparation,Feature Engineering,Variable Scaling,Variable Transformation,Binning the Data,Lambda Function,Correlation Checks for Bivariate Data,Outlier Treatment,Outlier Identification,Data Manipulation,Encoding Categorical Variables

img icon FREE
Probability for Data Science
star   4.47 54.5K+ learners 1.5 hrs

Skills: Basics of Probability, Marginal Probability, Bayes Theorem

img icon FREE
Statistics for Data Science
star   4.58 69.5K+ learners 7.5 hrs

Skills: Probability,Population, Samples,Statistical analysis,Hypothesis testing,Statistical distributions

img icon FREE
SAP S/4HANA Essentials for Beginners
2.8K+ learners 1.5 hrs

Skills: SAP basics, ERP understanding, S/4HANA architecture, core module navigation, AI integration, real-time data analysis, predictive maintenance, project management, process optimization, SAP functional skills.

Get started with these courses

img icon FREE
SAP S/4HANA Essentials for Beginners
2.8K+ learners 1.5 hrs

Skills: SAP basics, ERP understanding, S/4HANA architecture, core module navigation, AI integration, real-time data analysis, predictive maintenance, project management, process optimization, SAP functional skills.

img icon FREE
Data Science Essentials
star   4.52 1.6K+ learners 2 hrs

Skills: Introduction to Data Science, Life Cycle of Data, A/B Testing, Time Series, SQL and NoSQL, Big Data

img icon FREE
Excel for Data Science for Beginners
partner logo
star   4.49 19.6K+ learners 1.5 hrs

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

img icon FREE
Data Preprocessing
star   4.54 9.8K+ learners 2 hrs

Skills: Data Preparation,Feature Engineering,Variable Scaling,Variable Transformation,Binning the Data,Lambda Function,Correlation Checks for Bivariate Data,Outlier Treatment,Outlier Identification,Data Manipulation,Encoding Categorical Variables

img icon FREE
R for Data Science
star   4.54 14.3K+ learners 2 hrs

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

img icon FREE
Probability for Data Science
star   4.47 54.5K+ learners 1.5 hrs

Skills: Basics of Probability, Marginal Probability, Bayes Theorem

img icon FREE
Data Science Foundations
star   4.45 651.7K+ learners 2 hrs

Skills: Collection & preprocessing, Statistical analysis, Probability, Data acquisition, Supervised & unsupervised learning, Feature engineering, Model evaluation, Classification, Prediction, Clustering, R & Python analysis, Data visualization, Ethics & privacy

img icon FREE
Python for Data Science
star   4.43 116.9K+ learners 2 hrs

Skills: Data Analytics, Problem-solving, Insights, Predictive Modeling, Business Intelligence, Data Science Process, Data Preprocessing Techniques,Data Science Components ,Career Trajectory, Programming Basics,Data Handling using Python,Numpy and Pandas

img icon FREE
Statistics for Data Science
star   4.58 69.5K+ learners 7.5 hrs

Skills: Probability,Population, Samples,Statistical analysis,Hypothesis testing,Statistical distributions

img icon FREE
Introduction to Data Science
star   4.5 68.3K+ learners 1 hr

Skills: Fundamentals of DataScience, Basics of Data Preprocessing techniques, Statistical Distributions,A/B Testing, Time series analysis, Fundamentals of Big Data, Database, Tables, Relationships,Relational Database Management System, Non- relational Databases

New

img icon FREE
SAP S/4HANA Essentials for Beginners
2.8K+ learners 1.5 hrs

Skills: SAP basics, ERP understanding, S/4HANA architecture, core module navigation, AI integration, real-time data analysis, predictive maintenance, project management, process optimization, SAP functional skills.

img icon FREE
Data Science Essentials
star   4.52 1.6K+ learners 2 hrs

Skills: Introduction to Data Science, Life Cycle of Data, A/B Testing, Time Series, SQL and NoSQL, Big Data

img icon FREE
Excel for Data Science for Beginners
partner logo
star   4.49 19.6K+ learners 1.5 hrs

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

img icon FREE
Data Preprocessing
star   4.54 9.8K+ learners 2 hrs

Skills: Data Preparation,Feature Engineering,Variable Scaling,Variable Transformation,Binning the Data,Lambda Function,Correlation Checks for Bivariate Data,Outlier Treatment,Outlier Identification,Data Manipulation,Encoding Categorical Variables

Trending

img icon FREE
R for Data Science
star   4.54 14.3K+ learners 2 hrs

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

img icon FREE
Probability for Data Science
star   4.47 54.5K+ learners 1.5 hrs

Skills: Basics of Probability, Marginal Probability, Bayes Theorem

Popular

img icon FREE
Data Science Foundations
star   4.45 651.7K+ learners 2 hrs

Skills: Collection & preprocessing, Statistical analysis, Probability, Data acquisition, Supervised & unsupervised learning, Feature engineering, Model evaluation, Classification, Prediction, Clustering, R & Python analysis, Data visualization, Ethics & privacy

img icon FREE
Python for Data Science
star   4.43 116.9K+ learners 2 hrs

Skills: Data Analytics, Problem-solving, Insights, Predictive Modeling, Business Intelligence, Data Science Process, Data Preprocessing Techniques,Data Science Components ,Career Trajectory, Programming Basics,Data Handling using Python,Numpy and Pandas

img icon FREE
Statistics for Data Science
star   4.58 69.5K+ learners 7.5 hrs

Skills: Probability,Population, Samples,Statistical analysis,Hypothesis testing,Statistical distributions

img icon FREE
Introduction to Data Science
star   4.5 68.3K+ learners 1 hr

Skills: Fundamentals of DataScience, Basics of Data Preprocessing techniques, Statistical Distributions,A/B Testing, Time series analysis, Fundamentals of Big Data, Database, Tables, Relationships,Relational Database Management System, Non- relational Databases

Learner reviews of the Free Data Science Introduction Courses

Our learners share their experiences of our courses

4.46
68%
23%
6%
1%
2%
Reviewer Profile

5.0

“Excellent Introductory Course for Data Science Enthusiasts”
I enjoyed the course structure and the way complex concepts were broken down into simpler, digestible parts. The practical examples and hands-on projects helped me apply what I learned effectively. It was a great introduction to the world of data science, and I feel much more confident now.

LinkedIn Profile

Reviewer Profile

5.0

“Great Platform for Career Preparation”
I came here to learn more about data science. With a background in mathematics, I knew enough about statistical analysis but lacked an understanding of the proper workings and ideas of what data science is all about. This course really helped me.

LinkedIn Profile

Reviewer Profile

5.0

“It Was a Nice Experience and I Got a Great Start to the Subject”
The course was well delivered, and I am so grateful to participate.

LinkedIn Profile

Reviewer Profile

5.0

“I Was Able to Get a Good Understanding of What Data Science Is All About”
I liked the course content structure and the language made it easy to understand. Topics were covered in a systematic manner, giving an overview and further insights that need to be taken into account.

LinkedIn Profile

Reviewer Profile

5.0

“A Wonderfully Practical Course - Both Personally and Professionally”
Thank you for a great course. Great presentation style with lots of opportunities to ask questions and talk about real-life examples, which all made for a really enjoyable and informative course. This has more than met my expectations.

LinkedIn Profile

Reviewer Profile

5.0

“It Was a Very Quick and Engaging Course”
I loved the way the topics, which seemed to be of great depth, were explained effortlessly. As a result, the course was easy to follow and allowed me to retain whatever crucial knowledge was shared.

LinkedIn Profile

Reviewer Profile

5.0

“I Gained a Solid Foundation in Data Science Fundamentals”
This course has been instrumental in laying the groundwork for my data science journey, and I look forward to continuing my growth and development in this field.

LinkedIn Profile

Reviewer Profile

5.0

“Exemplary Curriculum That Is Easy to Follow and a Perfect Instructor”
The instructor was audible and clear with a good understanding of the topics. He explained the concepts and processes well enough to follow clearly. The course is also well structured.

LinkedIn Profile

Reviewer Profile

5.0

“First, I Gained an In-Depth Understanding of Introduction to Data Science”
I enjoyed the structured and comprehensive approach to learning, especially how the courses break down complex topics into digestible sections. The real-world case studies and interactive learning methods also kept me engaged, making the concepts easier to grasp.

LinkedIn Profile

Reviewer Profile

5.0

“The Course Was Informative and Engaging”
The course provided a solid introduction to data science concepts, covering essential topics such as statistics, data manipulation, machine learning, and data visualization. The materials were well-structured and easy to follow.

LinkedIn Profile

Meet your faculty

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

instructor img

Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning
  • 30+ years of experience in data science, ML, and analytics.
  • Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.
instructor img

Dr. Bappaditya Mukhopadyay

Professor, Analytics & Finance
instructor img

Mr. Bharani Akella

Data Scientist
instructor img

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
instructor img

Dr. P K Viswanathan

Professor, Analytics & Operations