Free Data Science Course
Data Science Foundations
4.45
Beginner level
3.0 learning hrs
Enrich your skills in Data Science by strengthening your foundational knowledge. Enroll in this free course and thoroughly learn the life cycle, tasks, programming languages, and analytics landscape concepts.
Instructor:
Dr. Bappaditya Mukhopadyay
What you'll learn
About this course
This Free Data Science Foundations course roffers your knowledge on the introduction to the subject and gives you insights into the different phases of its life cycle. The course covers topics about various tasks carried out in Data Science and different programming languages that are compatible to work with to accommodate the tasks efficiently, and Machine Learning, contributing to the dynamic behavior of machines and making significant associations with DS. The analytics landscape is another significant component within an organization, which you will learn in the latter part of the course, to understand workflow and asset distribution thoroughly. You will have to take an assessment to test your gain on the subject. The course also provides you with study materials for your reference at any given point after enrolling in it.
After this free, self-paced, beginner's guide to Data Science Foundations, you can embark on your Data Science career with the professional Post Graduate certificate and learn various concepts in depth with millions of aspirants across the globe!
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 are the prerequisites required to learn this Data Science Foundations course?
You do not need any prior knowledge except knowing what computer science is to learn the Data Science Foundations course. But suppose you want to do a little homework to understand the concepts of Data Science faster. In that case, we recommend you learn algorithms used to work with Data Science since you can implement them in any programming language.
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.
What are my next learning options after this Data Science Foundations course?
The free Data Science Foundations course is a head start to learning Data Science concepts, its working, various processes and approaches, its applications, and Machine Learning. So you can continue with your learning journey by enrolling in a professional Data Science and Machine Learning course.
Is it worth learning Data Science Foundations?
Yes, it is 100% yielding to learn Data Science Foundations. The subject focuses on catering the best base for you to kick start your journey in the field by giving you ample knowledge on everything you need to know. So, wait no more; enroll today and start learning!
What is Data Science Foundations used for?
Data Science Foundations speaks about the fundamental statistical theories and methods, life cycle, and tasks in Data Science procedures. These fundamentals can be applied to learn advanced concepts in Data Science and solve real-time problems more efficiently.
Why are Data Science Foundations so popular?
Data Science is an ever-growing concept and has a lot yet to be explored. It also makes a lucrative career option since significantly less competition and high scope. Data Science Foundations give you a base to kick start your career as a Data Scientist or any profiles best suiting the Data Science domain.
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.
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.
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.
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.
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.
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.
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