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Introduction to Data Science

Learn life cycle of data, time series, and more beneficial skills with Introduction to Data Science.

Instructor:

Dr. Abhinanda Sarkar
4.5
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Ratings

Beginner

Level

1.5 Hrs

Learning hours

62.1K+
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Introduction to Data Science

1.5 Learning Hours . Beginner

Enrol free with email

Skills you will learn

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

About this course

To keep up with the ever-evolving aspects of data and its domains, data handling and analysis have become crucial to understanding the information that comes attached to it, and that is exactly why data science has come such a long way. Data science is gradually conquering the world in all its glory, and that's why it's one of the most sought-after career options today, with millions of people wanting to learn the domain and master it. Data Science may be outlined as the study of information, wherever it comes from, what it represents, and also the ways by which it may be reworked into valuable inputs and resources to form business and IT strategies. In this course, you will understand what is data science and why do we need data science in this fast growing technological world. You will learn about life cyle of data along with idea of statistics and time series along with understanding of database such as SQL and NoSQL. Once you have the initial knowledge about the data, you will how to handle large amount of data using Big Data. This course will introduce you to the world of Data Science and topics related to Data Science.

The faculty for the course is Dr. Abhinanda Sarkar, Ph.D. from Stanford University and Ex-Faculty MIT, is Academic Director at Great Learning for Data Science and Machine Learning Programs.

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Course Outline

What and Why Data Science?
Life Cycle of Data
Basic idea of Distribution
A/B Testing
Time Series
Introducti
Big Data - 3Vs
Introduction to SQL and NoSQL
SQL vs NoSQL

This module contains an in-depth explanation of the various pros and cons of SQL and NoSQL.

Earn a certificate of completion

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Get free course content

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Learn at your own pace

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Master in-demand skills & tools

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Test your skills with quizzes

Introduction to Data Science

1.5 Learning Hours . Beginner

Enrol free with email

Trusted by 10 Million+ Learners globally

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4.8
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4.89
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4.94
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4.7

Learner reviews of the free Data Science course

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Reviewer Profile
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.
Reviewer Profile
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.
Reviewer Profile
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.
Reviewer Profile
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.
Reviewer Profile
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.
Reviewer Profile
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.
Reviewer Profile
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.
Reviewer Profile
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.
Reviewer Profile
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.
Reviewer Profile
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.

Our course instructor

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Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

Data Science Expert

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594.6K+ Learners
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22 Courses
Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE). He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India. He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enrol in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What are the three main concepts of Data Science?

Data Science is a domain that involves extracting insights from an extensive amount of data using different scientific methods, processes, and algorithms. Visualization, Statistics, Machine Learning, and Deep Learning are important Data Science concepts.

Is intro to Data Science Easy?

Based on the opinions of the people, the scale changes. Data Science, without a doubt, is a challenging course, but to make it manageable, you must be thorough with your basics. Hence, learning the basics of Data Science is comparatively easy when conveyed and understood well.

What are the four components of Data Science?

Data Strategy, Data Engineering, Data Analysis and Models, and Data Visualization and Operationalization are the four components of Data Science. 

Will I get a certificate after completing this introduction to Data Science free course?

Yes, you will get a certificate of completion for Introduction to Data Science after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this introduction to Data Science course cost?

It is an entirely free course from Great Learning Academy. anyone interested in learning the basics of introduction to Data Science can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the introduction to Data Science course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free introduction to Data Science course?

Great Learning Academy provides this introduction to Data Science course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this introduction to Data Science course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free introduction to Data Science course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 

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