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PGP - Data Science and Engineering

  • Bangalore
  • Chennai
  • Hyderabad
  • Gurgaon
  • Mumbai
  • Noida
  • Pune
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Academic Partner

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Why Learn Data Science?

Why Join our PG Data Science and Engineering Course?

Great Lakes PG Data Science and Engineering Course is a 5-month classroom program for fresh graduates and early career professionals looking to build their career in data science & analytics. Candidates from the course are able to transition to roles such as business analysts, data analysts, data engineer, analytics engineer etc. by learning relevant data science techniques, tools and technologies and hands-on application through industry case studies.

Ranked #1 in analytics education

Great Lakes’ program has been ranked #1 in India for 4 years in a row, and has an average rating of 4.8/5 across parameters like Course Content, Pedagogy, Faculty, and Brand Value.

PG Certificate from Great Lakes

Great Lakes is one of India’s top 10 business schools, the youngest institute in India to receive an AMBA, UK accreditation, and a leader in analytics education.

World class faculty

You gain from the decades of experience and expertise brought to the table by Great Lakes faculty in their chosen domains. Several of Great Lakes faculty have been ranked among India’s top Data Science academicians.

Intensive bootcamp format

The data science course follows an intensive bootcamp format where you learn data science and machine learning from expert faculty in classroom and deepen your expertise by working on data science lab sessions. The course duration is 20 weeks including 4 weeks of capstone project.

Hands-on learning

The course covers the tools and skills sought by leading companies in Data Science. Through the duration of the course, candidates are trained on Python, SQL, Tableau, Data Science and Machine Learning. Participants in the course build their knowledge through classroom lectures by expert faculty and doing multiple challenging projects across various topics and applications in Data Science.

Placement assistance

Through the corporate network of Great Lakes, several leading companies participate in the hiring drives organised for PG Data Science Course candidates. Some of the companies that have recently participated in the hiring process of PG Data Science and Engineering Course include: Uber, Swiggy, Fractal Analytics, Oyo, KPMG, Mu Sigma, Mercedes Benz, Cognizant, Mahindra, Big Basket.

Learn From India's Best Analytics School

6.9L Average CTC | 13.2L Highest CTC | 65% Average Salary Hike

Program Structure

The 5-month PG Data Science Course uses a combination of learning methods that include classroom teaching, hands-on exercises, and sessions with industry practitioners. Classes are conducted on weekdays and are assisted by online discussions and assignments.

Classroom learning

Classroom sessions by our top-ranked faculty would be conducted from Monday to Thursday starting 9:30 AM at the Great Learning center.

Lab sessions

Regular in-class lab sessions help candidates apply data science concepts to real-life scenarios under the guidance of a faculty and industry expert.

4-Week project work

Candidates work on an application-oriented industry project where they are mentored and evaluated by Great Lakes faculty and industry experts.

Great Lakes Certificate & ePortfolio

Earn a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in Data Science.


Our corporate partners are deeply involved in curriculum design ensuring that it meets the current industry requirements for data science professionals.

  • Syntax and Semantics of Python programming
  • Conditional statements
  • Loops
  • Iterators
  • User-defined functions
  • NumPy
  • Pandas
  • Pandas
  • Summary statistics (mean, median, mode, variance, standard deviation)
  • Seaborne
  • matplotlib
  • Probability distribution
  • Normal distribution
  • Poisson's distribution
  • Bayes’ theorem
  • Central limit theorem
  • Hypothesis testing
  • One Sample T-Test
  • Anova and Chi-Square
  • Introduction to DBMS
  • ER diagram
  • Schema design
  • Key constraints and basics of normalization
  • Joins
  • Subqueries involving joins and aggregations
  • Sorting
  • Independent subqueries
  • Correlated subqueries
  • Analytic functions
  • Set operations
  • Grouping and filtering
Machine Learning Techniques
  • Multiple linear regression
  • Fitted regression lines
  • AIC, BIC, Model Fitting, Training and Test Data
  • Introduction to Logistic regression, interpretation, odds ratio
  • Misclassification, Probability, AUC, R-Square
  • CART
  • KNN (classifier, distance metrics, KNN regression)
  • Decision Trees (hyper parameter, depth, number of leaves)
  • Naive Bayes
  • Clustering - K-Means & Hierarchical
  • Distance methods - Euclidean, Manhattan, Cosine, Mahalanobis
  • Features of a Cluster - Labels, Centroids, Inertia
  • Eigen vectors and Eigen values
  • Principal component analysis
  • Bagging & Boosting
  • Random Forest
  • AdaBoost & Gradient boosting
  • Hackathon
  • Trend and seasonality
  • Decomposition
  • Smoothing (moving average)
  • SES, Holt & Holt-Winter Model
  • AR, Lag Series, ACF, PACF
  • ADF, Random walk and Auto Arima
  • Text cleaning, regular expressions, Stemming, Lemmatization
  • Word cloud, Principal Component Analysis, Bigrams & Trigrams
  • Web scrapping, Text summarization, Lex Rank algorithm
  • Latent Dirichlet Allocation (LDA) Technique
  • Word2vec Architecture (Skip Grams vs CBOW)
  • Text classification, Document vectors, Text classification using Doc2vec
  • Building interactive dashboards using Tableau
  • Data Visualization using Tableau

Learn from the Best

Learn from leading academicians and experienced industry practitioners in the field of data science.

Placement Assistance

Participants from the course have secured roles such as Data Scientists, Machine Learning Engineers, Data Analysts, Analytics Consultants, etc. Here are some of the companies that have recently participated in the PG Data Science Course hiring drives:

Building Rewarding Careers in Data Science

Success Stories

The PG Data Science Course has been designed to help candidates jumpstart their careers in Data Science and Machine Learning. Here is what some of our PG Data Science Course candidates have to share:

Classroom Experience

Admission Details


  • done Applicants should have 60% or above in Xth, XIIth and Bachelor's degree.
  • done The program is open for candidates in their final semester and recent graduates with 0-3 years of experience.
  • done The PG Data Science Course is ideal for candidates with a graduation in a quantitative discipline like engineering, mathematics, commerce, sciences, statistics, economics, etc.

Selection Process

Step 1

Fill application form

Apply by filling a simple online application form.

Step 2

Application review

Admissions committee will review and shortlist.

Step 3

Screening call

Screening call with Alumni/ Program Director/ Faculty

Step 4

Aptitude test

Shortlisted candidates are required to appear for an online aptitude test.

Fee Details

3,50,000 + GST
Admission Fee-1 25,000
Admission Fee-2 25,000
1st Installment 1,00,000
2nd Installment 1,00,000
3rd Installment 1,00,000
Total 3,50,000


Candidates can pay the program fee through

Net Banking
Credit/Debit Cards
Cheque, DD

Financial Aid

Our tie-ups with several lending partners like HDFC Credila, Avanse (DHFL), MoneyTap, Credifiable, and Axis Bank ensure that money is not a constraint in the path of learning.

Upcoming Application Deadline


We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.

Apply Now

Frequently Asked Questions

The program is a full time classroom program and spans 5 months including 1 month capstone project. Classes happen Monday to Thursday from 9:30 AM to 5:30 PM.
The capstone project is an opportunity for candidates to work on industry-like data science problems under the mentorship of faculty/industry mentors. This project would bring in the all the learnings that candidates would have gained in the course and would work on problems relevant in the industry using techniques and tools mastered in the PG Data Science course. The capstone project also becomes a way for candidates to showcase their analytics credentials and learning to their future employers.
The academic modules would be taught by senior faculty from Great Lakes. In addition to Great Lakes faculty, senior leadership from the industry would also participate in delivering certain topics/modules. See the indicative list here.

The PG Data Science course is open for candidates in their final semester and recent graduates with 0-3 years of experience. Applicants should also have 60% or above in Xth, XIIth, and Bachelor's.

Successful participants will be awarded a PG Program in Data Science and Engineering certificate by Great Lakes Executive Learning. Great Lakes has consistently been ranked among top business schools in the country for its Data Science, Analytics and MBA programs. Great Lakes has been ranked among top 10 in recruiter’s perception meaning that the Great Lakes certificate is valued highly by leading companies in India.
The PG Data Science Course is a holistic and rigorous program and follows a continuous evaluation scheme. Candidates are evaluated in the courses they undergo through case studies, quizzes, assignments or project reports.
Please see the Program Fee Structure here. Admissions office will help you in applying for loans once you receive the offer of admission. We ensure money is not a constraint in the path of learning.
We believe that learning should continue and hence, access to Learning Management System (Olympus) which houses the learning material would be available to the candidates up to one year post completion of the program.
All the requisite learning material is provided online to candidates through the Olympus - Learning Management System. Candidates are free to purchase any reference books or material as may be recommended by the faculty.
The classes for Gurgaon, Chennai, Bangalore & Hyderabad will be held at the Great Lakes Learning Center in the city. Classes for Mumbai will be held at Hotel Ramada-Powai, for Pune at MCCIA Trade Tower-Shivajinagar, and for Noida in Sector 18.
No accommodation is provided at our learning center. Outstation candidates are requested to arrange accommodation themselves.
The candidates need to bring their own laptops, the technology requirement shall be shared at the time of enrollment.
All interested candidates are required to apply for the Data Science Course through the online application form. A panel of Great Lakes faculty screen and shortlist candidates. The shortlisted candidates would then appear for an aptitude test followed by a personal interview. Selected candidates will receive admission offer letter.
We advise all candidates to have complete information before enrolling in the program. No refund requests will be accepted once the fee has been paid. However, there is a deferment policy where a candidate can choose to defer his enrollment to a future batch.
Yes, candidates do receive placement assistance in the Post Graduate Program in Data Science & Engineering. Upon successful completion of the program, candidates would be provided interview opportunities up to 3 months’ post completion of the program. We would also prepare candidates for these interviews by providing extensive support in terms of mentoring, CV review, interview preparation etc.
If you are interested in the Program, you can apply through the online application form. Please reach out to us at dse@greatlearning.in or +91 92056 80225 for any program or admission related queries.
Careers in analytics and data science are amongst the highest paid in the industry. Furthermore, the career growth that one can expect in these roles is far superior to other roles. With leading Indian and Global companies looking to ramp up their analytics hiring, this is the best time to build a career in analytics and data science. Salaries for these roles while being higher than other comparable roles are subjective and depend on the quality of candidate and the recruiting company. As per analytics salary studies, average salaries for fresher roles in analytics (0-3 years) in India vary between 3-8 lacs.

An industry-aligned and up-to-date course in Data Science

Today, a data science course may be something that is part of a normal conversation, but in the past few years, the most reasonable first reaction to media hype about “big data” and “data science” used to be confusion.

How data science courses in India went on to become a popular choice among the population is a simple story of statistics being coupled with computer science. “Data science” and training for the same has recently emerged to specifically designate a profession that aims to make sense of vast stores of big data that we have managed to generate.

The last decade or so has been among the most dynamic times in terms of technology in India. Today the country ranks among the largest economies in the world. With a number of investments pouring into the country, the number of multinational corporations present in India has also increased significantly.

Data science training is something that is helping reshape India in the way we utilize data and has had a major impact on statistical foreshadowing.

What is Data Science?

Before one opts to enroll in a graduate or PG course in data science, online or otherwise, it makes sense to know all there is about what the course entails. Data science is a multidisciplinary field that utilizes data inference, algorithm development, as well as technology, in order to allow professionals to be able to solve complex analytical issues.

Data is at the core of every aspect of the world today. There are troves of raw information that are not just stored in an enterprise’s data warehouse, but are also constantly streaming in. There is a lot that a well-equipped professional may be able to garner from this information and identify advanced capabilities that can be built with it.

Discovering Data Insight

In any data scientist course in India, the discovery of data insights is an important aspect, which is about uncovering various inferences from data. This part of your data science training generally involves teaching candidates how to dive into data on a granular level, after which they can mine, study, and understand complex behaviors, inferences, and trends. This brings to the surface any hidden insights that can help a company in making smarter business decisions.

Mining Data Insights

The mining of data insights will get easier after online data science training and after an individual gain some practical experience in the same. Data mining begins with simple exploration. Data scientists, investigate different leads and then try to understand the various patterns or characteristics that appear within the data. Apart from an inclination to computer sciences to successfully complete online data science training, a candidate is also required to have analytical creativity.

One may get an online certification as a data scientist or attend full-time data science classes in order to learn the basics of mining data and analyzing the findings. After the data has been mined, a scientist may then apply quantitative techniques on those findings, which include time series forecasting, inferential models, synthetic control experiments, segmentation analysis, and more. Your data science classes should be able to help you scientifically piece together a view of what the data is actually saying. This results in getting a data-driven insight that can play a major role in providing organizations with some much needed strategic guidance.

It can be said that after receiving an online diploma in data science, one can be considered as a consultant who can guide businesses and stakeholders on how they are supposed to act on findings from data.

Why to study data science?

Many professionals are faced with the question as to why they should pursue data science training courses or go for online data science programs. We’ll answer it in an impactful manner – Big Data! Virtually, every company and organization has a large volume of data and almost all of them want to utilize that data in order to find out ways that can help them grow their business. Offline or even online classes in data science equip one with an interdisciplinary skill set that teaches them how to handle and analyze huge amounts of data. In this respect, a person with an online certification in data science has become essential for a number of industries and sectors.

A candidate with an online certification as a data scientist will know how to use their skills in statistics, programming, maths, and other subjects in order to properly organise large data sets and to then apply the knowledge so gained via online data science training in order to uncover the solutions hidden in the big data, which can help a business reach its goals.

In recent times, India has seen a significant rise in the number of industries, fields, and sectors that have numerous job openings for candidates equipped with an online data science certificate. People who tend to opt for an online data science course majorly enhance their career prospects.

Some Job Titles Related to Data Science Certificate

After data science training courses, candidates can opt to become:

  • Data Engineers
  • Data Scientists
  • Big Data Engineers
  • Data Architects
  • Data Visualization Developers
  • Business Analytics Specialists
  • BI Solutions Architects
  • Business Intelligence (BI) Engineers
  • Analytics Managers
  • BI Specialists
  • Statisticians

Are you on the lookout for the best data science certificate program?

For a diploma or post-graduation in data science to count the most, one needs to have a lot of knowledge ranging all the way from machine learning, computer science, deep learning, and python to statistics and mathematics. Missing out on any skill will have an impact on your journey to becoming a data scientist. Plus, considering the fees for a data science course is also a prudent step.

Before opting for a data science certification in India or choosing a blended or online data science course, it is a good idea for one to connect with others from the same domain to clear any doubts which one may have when choosing the curriculum or course for data science.

When it comes to blended or online data science programs, Great Learning offers the most comprehensive and up to date curriculum when it comes to online data science classes. The online data science course offered at Great Learning has been co-created by top-ranked faculty and industry practitioners, to help you avail the best opportunities to grow in your career.

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