Fundamentals of Data Science

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Data science is a rapidly evolving field that helps organizations extract insights and drive innovation through data analysis. Combining mathematics, statistics, computer science, and domain expertise, it uncovers patterns, makes predictions, and understands complex datasets. In today's data-driven world, data science is crucial for informed decision-making, process optimization, and uncovering opportunities.

Great Learning offers data science introduction courses to build a solid foundation in data science principles and techniques. Whether you're a beginner or an experienced professional, these courses will equip you to tackle real-world challenges and advance your career in a data-driven world.

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Introduction to Data Science

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Probability for Data Science

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Statistics for Data Science

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Introduction to Data Science

4.5 65.6K+ learners 1 hr

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Data Science Essentials

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Data Science Foundations

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Python for Data Science

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Statistics for Data Science

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Learner reviews of the Free Data Science Introduction Courses

Our learners share their experiences of our courses

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Joseph Yakubu

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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Low Wen Song

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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B.M.P.S.M Basnayaka

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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Kishore Jamsutkar

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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Prayag Singh

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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Shuddh Rai

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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Azile Fikela

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.

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Bruno Munene

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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Jagan Reddy

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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Charanpreet Arora

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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