Free Data Science Course
Data Science Foundations
4.45
Beginner level
2.25 learning hrs
Learn data science fundamentals, data mining, machine learning, Python, R, and analytics. Enroll in this free data science course to understand how data is processed and used to generate insights.
Instructor:
Dr. Bappaditya Mukhopadyay
What you'll learn
About this course
This free data science course Online introduces you to the fundamentals of data science and its applications in everyday situations, such as weather forecasting, vacation planning, and sales forecasting. You’ll explore the data science life cycle, including data acquisition, preprocessing, machine learning algorithms, pattern evaluation, and knowledge representation. The lessons also cover key data mining tasks, such as classification, prediction, association, clustering, summarization, and anomaly detection. These concepts will help you understand how raw data is processed, analyzed, and transformed into meaningful insights.
The course also explains how machine learning models identify patterns and features in data. You’ll learn about programming languages used in data science, including Python and R, along with their popular libraries. The analytics module covers data manipulation, calculations, presentation, and visualization, showing how these techniques help generate insights and support decision-making. By the end, you’ll be able to explain the stages of the data science life cycle, identify common data mining techniques, recognize the role of machine learning and programming languages, and understand how analytics helps interpret data. This free data science course for beginners provides a foundation for understanding essential data science concepts and tools.
Course outline
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.
Data Science Life Cycle
Data Science life cycle revolves around data acquisition, preprocessing, ML algorithms, pattern evaluation, knowledge representation, and analytical strategies to predict and proffer insights, which we shall learn in this module, into the procedures to yield the best results.
Data Mining Tasks
Data mining tasks include classification, prediction, association, clustering, and summarization. This module explains anomaly detection, continues with matching data points and explains the concept with a real-life example.
Intro to Machine Learning
Machine learning is a learning method to process raw data based on the previously trained model for similar input data. This section explains how machines understand the patterns and the features through which it tags every data.
Languages for Data Science
Most commonly used programming languages used in Data Science are R (for statistical computation) and Python (including MATLAB library), which we will know why in this section. We will also look into the famous libraries in each of these languages for Data Science.
Analytics Landscape
Analytics landscape is used to generate insights from data using simple manipulation, presentation, calculation, and visualization of data. We shall look into this concept with demonstrated examples in this section.
Get access to the complete curriculum once you enroll in the course
This course is ideal for
- Beginners wanting to build a foundation in data science.
- Students and job seekers exploring data science careers.
- Working professionals building analytical and statistical skills.
- Learners who want a Data Science Foundations certificate.
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Our course instructor
Dr. Bappaditya Mukhopadyay
Professor, Analytics & Finance
Data Science Expert
With an MA in Economics from Delhi School of Economics and PHD from ISI, Dr. Mukhopadhyay is currently the professor and chairperson of the PGPBA program at Great Lakes Institute of Management. He is also the visiting professor of the University of Ulm, Germany, and distinguished Professorial Associate, Decision Sciences and Modelling Program, Victoria University, Australia. His areas of interest and expertise include applied economic theory, game theory, analytics, statistics, econometrics, derivatives and financial risk management, survey design, execution, and others.
Noteworthy achievements:
- Ranked 4th Amongst the "20 Most Prominent Analytics & Data Science Academicians In India: 2018".
- Prominent Credentials: He has various research papers published in national as well as international journals. He is currently working on a book titled Measuring and Managing Credit Risk. He has been the Managing Editor at Journal of Emerging Market Finance and Journal of Infrastructure and Development, member of Index Committee, member of Research Advisory Committee, Research Advisory Committee, NICR, Expert member in Faculty Selection committees at various Business schools, among others.
- Research Interest: Information economics and contract theory, financial risk management, credit risk and agency theory, microfinance institutions, financial Inclusion, analytics in public policy.
- Teaching Experience: He has more than 20 years of teaching experience in economics, finance.
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What will I learn in this free data science course?
You’ll learn data science fundamentals, the data science life cycle, data mining tasks, machine learning basics, Python and R, and the role of analytics in generating insights.
Is this free data science course suitable for beginners?
Yes. The course starts with introductory data science concepts and gradually covers the life cycle, data mining, machine learning, programming languages, and analytics.
What data mining techniques are covered in this course?
You’ll learn about classification, prediction, association, clustering, summarization, and anomaly detection, with examples to understand how these tasks are applied.
Will I learn machine learning as part of this free data science course online?
Yes. The course introduces machine learning and explains how models process raw data, identify patterns, and recognize features to make predictions or assign labels.
Which programming languages will I explore in this free data science course for beginners?
You’ll learn about Python and R, their applications in data science, and the popular libraries used with these programming languages.
Will I learn how to generate insights through data analytics?
Yes. You’ll explore data manipulation, calculations, presentation, and visualization to understand how analytics helps turn data into useful insights.
Will I learn how anomaly detection works in data mining?
You’ll learn about anomaly detection as part of data mining and understand how it helps identify unusual data points within a dataset.
Can I learn Python and R for data science through this course?
The course introduces both programming languages, explains why they are used in data science, and covers their commonly used libraries.
What skills can I develop through free data science training?
You’ll build foundational knowledge of data preprocessing, data mining, machine learning concepts, Python and R, and analytical approaches to interpreting data.
Is this a good free data science course for beginners who want to explore machine learning?
Yes. It introduces machine learning concepts alongside data science fundamentals, data mining tasks, and programming languages, helping beginners understand how these areas work together.
What are the steps to enroll in this Data Science Foundations course?
Enrolling in any of the Great Learning Academy’s courses is just one step. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.
Who is eligible to take this Data Science Foundations course?
Anybody with basic knowledge of computer science and interested in learning Data Science and understanding its basics can take up the course. You do not need any prerequisites to learn the course, so enroll today and learn it for free online.
Why choose Great Learning Academy for this free Data Science Foundations course?
Great Learning Academy provides this Data Science Foundations course for free online. The course is not only self-paced but also helps you understand various topics that fall under the subject with solved problems, hands-on experience with projects, 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 that offers in-demand online courses to help people advance in their jobs. More than 4 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop-place place for learners' 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 possible 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 Data Science Foundations course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
What knowledge and skills will I gain upon completing this course?
You will get introduced to the Data Science Foundation and gain insights into the different phases of its life cycle. You will understand various tasks in Data Science and programming languages compatible, Machine Learning, and its dynamic behavior. You will basket the skills to manage and record the asset distribution within your organization with the analytics landscape.
Will I have lifetime access to the free course?
Yes, once you enroll in the course, you will have lifetime access to any of the Great Learning Academy’s free courses. You can login and learn whenever you want to.
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