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Pro & University Programs

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Master Data Science & Machine Learning in Python
136 coding exercises 6 projects
17 hrs video content
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Hands-On Data Science Using Python
1 coding exercise 1 project
12.5 hrs video content
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Northwestern University

18 months  • Online

Live Sessions

Free Data Science Courses

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Introduction to Data Science
star   4.5 65.8K+ learners
1 hr
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Data Science Foundations
star   4.45 646.7K+ learners
2 hrs
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Python for Data Science
star   4.43 115.3K+ learners
2 hrs
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R for Data Science
star   4.54 13.9K+ learners
2 hrs
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Excel for Data Science for Beginners
star   4.49 19.1K+ learners
1.5 hrs
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Data Preprocessing
star   4.54 9.6K+ learners
2 hrs
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SQL for Data Science
star   4.51 165.8K+ learners
3 hrs
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Data Science Mathematics
star   4.34 14.8K+ learners
1 hr
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Data Visualization With Power BI
star   4.52 320.5K+ learners
1.5 hrs
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Data Visualization using Tableau
star   4.52 112.5K+ learners
2 hrs
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Exploratory Data Analysis Essentials
star   4.51 101.6K+ learners
1.5 hrs
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Financial Risk Analytics
star   4.55 88.5K+ learners
2 hrs
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Introduction to Data Science
star   4.5 65.8K+ learners 1 hr
img icon FREE
Data Science Foundations
star   4.45 646.7K+ learners 2 hrs
img icon FREE
Python for Data Science
star   4.43 115.3K+ learners 2 hrs
img icon FREE
R for Data Science
star   4.54 13.9K+ learners 2 hrs
img icon FREE
Excel for Data Science for Beginners
star   4.49 19.1K+ learners 1.5 hrs
img icon FREE
Data Preprocessing
star   4.54 9.6K+ learners 2 hrs
img icon FREE
SQL for Data Science
star   4.51 165.8K+ learners 3 hrs
img icon FREE
Data Science Mathematics
star   4.34 14.8K+ learners 1 hr
img icon FREE
Data Visualization With Power BI
star   4.52 320.5K+ learners 1.5 hrs
img icon FREE
Data Visualization using Tableau
star   4.52 112.5K+ learners 2 hrs
img icon FREE
Exploratory Data Analysis Essentials
star   4.51 101.6K+ learners 1.5 hrs
img icon FREE
Financial Risk Analytics
star   4.55 88.5K+ learners 2 hrs

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Predict Footballer Transfer Market Value using Data Science
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Applying Analytics to Business Problems
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star   4.45 646.7K+ learners
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star   4.52 320.5K+ learners
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Learner reviews of the Free Data Science Courses

Our learners share their experiences of our courses

4.5
69%
22%
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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Learn Data Science For Free & Get Completion Certificates

Data Science is a subdomain of computer science and technology that utilizes scientific techniques, processes, algorithms, and systems to extract derived information and insights from structured and unstructured data. It is an interdisciplinary field that combines computer science, mathematics, statistics, and other related fields to analyze, predict, and visualize data. Data science has integrated modern businesses and has been used to improve decision-making, identify new opportunities, and solve complex problems. 

 

Data science is used in various industries, including finance, healthcare, education, and marketing. It is used to identify patterns and relationships in data, uncover hidden insights, and make accurate predictions. For example, data science can be applied to analyze customer purchasing patterns, identify potential customer segments, and develop targeted marketing campaigns. It can also detect fraud, optimize pricing, and predict future trends. 

 

Data science is also used to power Artificial Intelligence and Machine Learning. Machine Learning algorithms use data science to learn from data and make predictions. Data science is used to train and test machine learning models, identify correlations, and draw conclusions from complex data sets. 

 

Data science can also create predictive models and simulations. Data scientists can identify patterns and relationships, build models, and simulate future outcomes and scenarios by analyzing data. This can be used to make more informed decisions and create better strategies. 

 

Data science has become an increasingly important part of the modern world, and its applications are proliferating. It can revolutionize how we do business, make decisions, and interact with data. With the right strategies and techniques, data science can improve the efficiency and accuracy of data-driven decisions and enable businesses to gain deeper insights into their customers, operations, and markets.

 

Data Science Tasks

 

Data Science tasks involve the analysis of large and complex datasets to discover hidden patterns, correlations, and insights. Data Science tasks involve a combination of techniques and processes, including data mining, machine learning, predictive analytics, and visualization. Data Science tasks aim to use data to gain knowledge and insights that improve a business or other organization's operations. 

 

Data Science gathers and cleans data from multiple sources. This process includes collecting data from various sources, such as databases, websites, surveys, and other sources. After the data is collected, it must be cleaned and analyzed to identify patterns, correlations, and insights. The data must also be organized and structured to make it easier to work with. 
 

 

Data Science tasks also include 

 

  • Creating predictive models. Predictive models use data to forecast future outcomes. These models are used to make investments, business strategies, and product development decisions. 
  • Using visualization tools to represent data in an easy-to-understand format. Popular visualization tools include charts, tables, and graphs. Visualization tools help organizations make better decisions by providing clear insights into the data. 
  • Communicating the results of the data analysis. This includes creating reports and presentations that explain the findings to stakeholders and other decision-makers. 

 

Data Science tasks are an essential part of any organization's operations. Data Science professionals use their technical skills and knowledge to help organizations gain valuable insights from their data. By understanding and interpreting data, organizations can make better decisions and create strategies to help them achieve their goals. 

 

Great Learning Academy offers a variety of free Data Science courses online that can help you gain the expertise and knowledge you need to pursue a career in the field. These courses typically focus on helping you gain a better understanding of the fundamentals of Data Science, such as programming languages, algorithms, and data manipulation. No matter which type of free Data Science course you choose, you can be sure that you'll be well-equipped with the knowledge and skills necessary to pursue a successful career in the field. With various free Data Science courses, you can learn about various concepts under the subject online for free.

 

Register for the Data Science certificate course if you want to get professionally certified. 

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. D Narayana

Senior Faculty, Academics, Great Learning
  • 18+ years in AI, ML, and financial engineering solutions
  • PhD in Mathematics from Pierre and Marie Curie University, France
instructor img

Mr. Vishal Padghan

instructor img

Mr. Rounak Dholakia

Academic Operations Head (PGP DSBA)
instructor img

Dr. P K Viswanathan

Professor, Analytics & Operations
instructor img

Mr. Gaelim Holland

Senior Data Scientist
instructor img

Prof. Raghavshyam Ramamurthy

Industry Expert in Visualization
instructor img

Prof. Raghavshyam Ramamurthy

Industry Expert in Visualization
instructor img

Mr. Viplove Raj Sharma

Associate Director
instructor img

Vivekanand R

Industry Expert in Visualization
instructor img

Dr. R.L. Shankar

Professor, Finance & Analytics
instructor img

Dr. Bradford Tuckfield

Co-Founder & Director, Wilson Consulting
  • 10+ years of expertise in statistics, programming, and machine learning.
  • PhD. from the Wharton School, University of Pennsylvania

Frequently Asked Questions

What are the prerequisites required to learn these free Data Science courses?

There's no prior experience necessary to begin, but before you learn advanced courses, complete basic courses to have strong computer skills and develop an interest in gathering, interpreting, and presenting data.

How long does it take to complete these Data Science free courses?

These courses include 1-8 hours of video lectures. These courses are, however, self-paced, and you can complete them at your convenience.

What knowledge and skills will I gain upon completing these free Data Science courses?

Upon completing these free Data Science courses, you will gain a wide range of knowledge and skills, including an understanding of the fundamentals of data science, algorithms and machine learning, data analysis and visualization, programming languages such as Python and R, and the tools and applications used in data science. Additionally, you will gain experience with data wrangling, predictive modeling, and data-driven decision-making.

Will I obtain a formal certification after finishing these Data Science courses?

These Data Science courses offers a certificate of completion upon finishing, not a professional certification.

Will I have lifetime access to these free Data Science courses with certificates?

Yes. You will have lifetime access to these courses after enrolling in them and access to certificates after completing the course.
 

Will I get a certificate after completing these free Data Science courses?

Yes. After completing them successfully, you will receive a certificate of completion for each course. 

How much do these Data Science courses cost?

These are free courses; you can enroll in them and learn for free online. 
 

Is it worth learning about Data Science?

Data scientists are in great demand right now, and it's an excellent choice to start a career in data science. Unfortunately, the majority of those who attempt to learn data science fail because their approach needs to be revised with errors that impede their advancement. You can therefore choose to learn from the Data Science course for beginners to escalate your learning in Data Science and programming from basics. 

 

Why is Data Science so popular?

Data science is a large field of study that is expanding, which means there will be plenty of chances in the future. The discipline of data science is anticipated to become increasingly specialized as employment functions get more specialized. Because it has been revealing outstanding solutions and wise decisions across numerous industries, data science is crucial for organizations.
 

What jobs demand you learn Data Science?

Jobs that are directly related to Data Science are

  • Business Intelligence Analyst
  • Data Mining Engineer
  • Data Architect
  • Data Scientist
     

Why take Data Science courses from Great Learning Academy?

Great Learning Academy offers a wide range of high-quality, completely free Data Science courses. From beginner to advanced level, these free courses are designed to help you improve your Data Science and programming skills and achieve your goals. All these courses come with a certificate of completion, so you can demonstrate your new skills to the world. Start learning today and discover the benefits of free Data Science courses!
 

Who are eligible to take these free Data Science courses?

These courses have no prerequisites. Anybody can learn from these courses for free online. 

What are my next learning options after these Free Data Science courses?

These free Data Science courses give you a competitive edge in your professional life. Register for the Applied Data Science course to further gain professional knowledge after completing these free courses.

What are the steps to enroll in these free Data Science courses?

To learn Data Science basics and advance concepts from these courses, you need to,

  • Go to the course page
  • Click on the "Enroll for Free" button
  • Start learning the Data Science course for free online.