Free Data Science Course
Introduction to Data Science
Learn the basics of data science, such as the data lifecycle, A/B testing, and SQL vs. NoSQL concepts. Join this free data science course to gain the technical skills to solve complex problems and drive business growth.
Instructor:
Dr. Abhinanda SarkarAbout this course
This free online data science course equips you with the technical skills to transform raw data into strategic business intelligence. You will master the end-to-end data lifecycle from initial collection and processing to communicating actionable insights. The curriculum covers statistical distributions to interpret data variability and A/B testing to validate performance through controlled experiments. You’ll also learn time series analysis to forecast trends and study the "3Vs" of Big Data to manage complex, high-volume datasets efficiently.
The course covers the practical application of SQL and NoSQL databases, ensuring you can select the right architecture for various storage and retrieval needs. You will also receive a brief theoretical introduction to popular Data Science tools such as Python, Tableau, and Power BI, along with a basic overview of frameworks such as TensorFlow and PyTorch. Through real-world examples such as weather prediction and seasonal sales forecasting, you will learn to solve complex problems with data-driven precision. By the end, you will be prepared to design experiments, optimize data storage, and generate predictive models, ensuring you are ready to tackle real-world data challenges and drive value in any modern organization.
Course outline
What and Why Data Science?
This module introduces the domain of Data Science, defining its purpose and explaining why it has become a critical field in the modern technological world.
Lifecycle of Data Science
This module covers the complete lifecycle of data, from collection and processing to analysis and communication of insights.
Basic idea of Distribution
This module focuses on the basic idea of statistical distributions, teaching you how to understand and interpret data patterns and variability.
A/B Testing
This module explores A/B testing, demonstrating how to design and execute experiments to compare two versions and determine which performs better.
Time Series in Data Science
This module teaches the fundamentals of time series analysis, covering techniques for analyzing data points collected over a sequence of time.
Introduction to Data Science
This section gives you various examples to help you understand Data Science. It explains how you decide on a place for the vacation, how the weather is predicted, and sales during a particular time in a year using data science.
Big Data - 3Vs
This module covers the concept of big data, focusing on the three key characteristics: volume, velocity, and variety.
Introduction to SQL and NoSQL
This module introduces database technologies, explaining the fundamental differences and use cases for both SQL and NoSQL databases in data science.
SQL vs. NoSQL
This module clarifies the distinction between SQL and NoSQL, detailing the pros and cons of each for various data storage and retrieval needs.
Get access to the complete curriculum once you enroll in the course
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Practice exercises
Guided Projects
AI Resume Builder
AI mock interviews
Our course instructor
Dr. Abhinanda Sarkar
Senior Faculty & Director Academics, Great Learning
Data Science Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What will I learn in this Introduction to Data Science course?
This free online data science course teaches the basics of data science. Topics include what data science is, the data lifecycle, statistical distributions, A/B testing, time series analysis, fundamentals of big data, relational and non-relational databases, SQL, and NoSQL concepts. It gives a solid foundation for beginners.
Is this a free data science course for beginners?
Yes. This course is a free data science training for beginners. You can enroll without prior experience and learn core concepts at your own pace.
Who should take this free data science course online?
This free online data science course is ideal for students, career changers, professionals new to the field, and anyone who wants a fundamental understanding of data science and its real-world applications.
How long does this free data science course take to complete?
The course is about 1.5 hours of content. You control the pace, so you can finish quickly or revisit sections.
Do I need programming or math experience before enrolling?
No. This free data science course for beginners starts with foundational ideas. You do not need prior programming experience or advanced math to start.
Will I have access to the course content forever?
Yes. Once you enroll, you have lifetime access to the free data science training material and can return anytime to refresh your learning
What topics I learn in this free data science training course?
You will learn the following modules:
- What and Why Data Science?
- Lifecycle of Data Science
- Basic idea of Distribution
- A/B Testing
- Time Series in Data Science
- Introduction to Data Science
- Big Data - 3Vs
- Introduction to SQL and NoSQL
- SQL vs. NoSQL
Does the course include real examples or practice content?
Yes. The curriculum includes examples that explain key concepts and how data science is applied in real situations.
What skills will I gain from this free data science course?
You will gain the following 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
What jobs or skills does this course support?
This free data science training helps you build foundational skills in data analysis, big data basics, and database technologies, useful for roles like data analyst or for stepping toward more advanced data science learning.
Will I have lifetime access to this data science free online course with certificate?
Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.
What are the steps to enroll in this introduction to Data Science free 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.
Why choose Great Learning Academy for this free Data Science course online?
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.
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.
Is there any limit on how many times I can take this free course?
Once you enroll in the introduction to free Data Science course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
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.
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.
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.