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PGP - Data Science and Engineering in Chennai

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Application Deadline - 9th Apr 2020

Academic Partner

  • Great Lakes Logo

Great Lakes PGP-DSE Credentials

Great Learning job opportunity


Across course content, faculty, and student experience


Students Placed in Leading Analytics Companies

Great Learning Salary Hike


Average Salary Hike for our Data Science Alumni

Why Join our PG Data Science and Engineering Course?

The 5-month PGP-Data Science Engineering Course at Great Lakes can be opted for by fresh graduates as well as early career professionals who wish to build their career in data science & analytics. The Data Science course introduces the best data science techniques as well as the required tools and technologies and gives candidates the chance to apply what they learn in hands-on applications through industry case studies. After the completion of the course, candidates can easily transition into different roles, such as data analysts, business analysts, analytics engineers, data engineers, and more.
Great Learning rank-1
Ranked #1 in analytics education

The PGP Data Science Engineering Course by Great Lakes has been ranked as #1 in the country for 4 years in a row, with parameters like Pedagogy, Faculty, Course Content and Brand Value receiving an average rating of 4.8/5.

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PG Certificate from Great Lakes

Counted among the top 10 B-Schools in India, and a leader in analytics education, Great Lakes is the youngest institute in the country to receive an AMBA, UK accreditation.

Great Learning rank-4
World class faculty

Several of the faculty members at Great Lakes has been ranked among the top Data Science academicians in the country. Here, you can gain from the decades of expertise and experience that the faculty brings to the table.

Great Learning talent pool
Intensive bootcamp format

The duration of this program is 20 weeks, which also includes 4 weeks of capstone projects. It follows an intensive boot-camp format. Here, you get to learn about data science and machine learning, which is taught by an expert faculty in a classroom format. You are further given the chance to deepen your expertise with data science lab sessions.

Great Learning rank-8
Hands-on learning

Throughout the program, candidates are trained on the tools and skills in Data Science which leading companies seek. This includes training in SQL, Tableau, Python, Machine Learning, and Data Science. With classroom lectures by expert faculty and multiple challenging projects on various topics and applications, this Data Science program helps the participants build their knowledge of the field.

Great Learning Placement Assistance
Placement assistance

Great Lakes has a great corporate network. This ensures the participation of several leading companies in the hiring drives that are organized for the candidates of the PGP-Data Science course in Chennai. Some of these companies include HSBC, Marlabs, Kantar, Jana Finance, TVS, Vestas, Flipkart, Big Basket, Mahindra, Cognizant Technology Solutions, etc.

Learn From India's Best Analytics School

6.9L Average CTC | 15.6L Highest CTC | 85% Average Salary Hike

Program Structure

The PGP-Data Science Engineering Course, in its duration of 5 months, involves combining different learning methods like classroom teaching, hands-on application, and holding sessions with practitioners of the industry. The classes, assisted by online discussions and assignments, are held on weekdays.

Great Learning program structure-3

Classroom learning

The classroom sessions are provided by an expert faculty, Mondays through Thursdays, and are held at the Great Learning center, starting at 9.30 AM.

Great Learning lab sessions

Lab sessions

Candidates get the guidance of a faculty and an industry expert to apply data science concepts they have learned to real-life scenarios in regular in-class lab sessions.

Great Learning program structure-2

4-Week project work

The Data Science Course Candidates are mentored and evaluated by industry experts and Great Lakes faculty as they work on an application-oriented industry project.

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.

Great Learning - Data Science Engineering certificate
Great Learning Academics eportfolio of Data Scinece Engineering alumnus


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

Introduction to programming using Python
  • Syntax and Semantics of Python programming
  • Conditional statements
  • Loops
  • Iterators
  • User-defined functions
  • NumPy
  • Pandas
Exploratory Data Analysis
  • Pandas
  • Summary statistics (mean, median, mode, variance, standard deviation)
  • Seaborne
  • matplotlib
Statistical Methods for Decision Making
  • Probability distribution
  • Normal distribution
  • Poisson's distribution
  • Bayes’ theorem
  • Central limit theorem
  • Hypothesis testing
  • One Sample T-Test
  • Anova and Chi-Square
SQL Programming
  • 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
Linear and Logistic Regression
  • 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
Supervised Learning Classification
  • CART
  • KNN (classifier, distance metrics, KNN regression)
  • Decision Trees (hyper parameter, depth, number of leaves)
  • Naive Bayes
Unsupervised Learning
  • 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
Ensemble Techniques
  • Bagging & Boosting
  • Random Forest
  • AdaBoost & Gradient boosting
  • Hackathon
Time Series (*Online Instruction)
  • Trend and seasonality
  • Decomposition
  • Smoothing (moving average)
  • SES, Holt & Holt-Winter Model
  • AR, Lag Series, ACF, PACF
  • ADF, Random walk and Auto Arima
Text Mining (*Online Instruction)
  • 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
Data Visualization (*Online Instruction)
  • 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:

Great Learning Data Science Engineering placements in leading companies Great Learning Data Science Engineering placements in leading companies

Building Rewarding Careers in Data Science

The program offers Placement Readiness Evaluation at the end of the course, to help students prepare for interviews, on clearance of which students sit for the placements.

Success Stories

The PG Data Science Course has been designed to help candidates jumpstart their careers in Data Science. Here is what some of our PG Data Science Course candidates have to shared.

Reviews by Learners

11 Mar 2020
Batch of March 2020 - Chennai
This program was very professional with such a great start! The faculty team was excellent and maintained a good pace with simple examples to go through the concept which made it easy to understand. This program is one of the best I have encountered so far.
11 Mar 2020
Batch of March 2020 - Chennai
This program by Great Learning is such a great one. To start with, A very warm and clear introduction was provided by Ms. Anne Grace. Also, we got to know the respective faculty members which we need to contact in case of queries. The teaching was done at a good pace where concepts are understood to the fullest. Even the interaction and clearing of doubts were done instantaneously. I have thoroughly enjoyed my learning journey with Great Learning.
11 Mar 2020
Batch of March 2020 - Chennai | Associate Software Engineer at Analance By Ducen
This program is well structured. The faculty gave a wonderful start to the course by introducing to the structure of the entire course, and other important details on the first day itself. We have got a clear overview of the program and the program was carried out very well. The way the faculty members explained things from the very scratch made us clearly understand every bit of it.
05 Mar 2020
Batch of February 2020 - Bangalore
This program is so exhaustive and well structured. We had the best sessions with the best faculty members. All the concepts were taught so neatly which gave us a clear understanding. There were also sessions conducted to revise the topics that we were lacking behind which helped us to gain comprehensive knowledge and understanding.
29 Feb 2020
Batch of November 2019 - Gurgaon
This program gave me a path to walk upon. Also, I was able to understand and track my performance in accordance with my peers. Advice for Students: Start studying from day one and try to learn as much as you can from the very starting. Statistics should be practiced from the starting of the batch and you will be successful in getting hired into the job role of your dreams. I strongly recommend this program to the ones passionate about learning data science.

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.
Grear Learning admission and selection process

Selection Process

Step 1

Fill 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

Great Learning rupee icon 3,50,000 + GST

*Program fee will be revised to Rs. 4,00,000/- + GST effective 31st March 2020.

Admission Fee-1 Great Learning rupee icon 25,000
Admission Fee-2 Great Learning rupee icon 25,000
1st Installment Great Learning rupee icon 1,00,000
2nd Installment Great Learning rupee icon 1,00,000
3rd Installment Great Learning rupee icon 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 Axis Bank and Eduvanz ensure that money is not a constraint in the path of learning.

Upcoming Application Deadline

9th Apr 2020

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

What is the program structure for PGP-DSE?
The Data Science PG curriculum is a full-time classroom program and continues for 5 months that comprise a 1-month capstone project. Classes befall Monday to Thursday from 9:30 AM to 5:30 PM. Explore Here - Data Science Program Structure.
What is the Capstone Project all about and how exactly would it help me?
A capstone project is an exceptional event for candidates to work on industry-like data science queries following the mentorship of faculty/industry guides. This project drive in all the knowledge that candidates would have received in the course and would work on issues related to the industry employing certain techniques and tools comprised in the PG Data Science course. The capstone project also flags a way for candidates to present their analytics credentials and learning to their future employers. Click Here - Data Science Benefits.
Who will be the faculty for Data Science Course?
The academic modules would be taught by excellent faculty from Great Lakes. Besides the Great Lakes faculty, senior administration from the analytical management would also participate in teaching certain topics/modules. See the indicative list here.
What is the eligibility criterion for Data Science Course?

The PG Data Science course is appropriate for those candidates pursuing their final semester and recent graduates with 0-3 years of experience. All the applicants must possess 60% or above in Xth, XIIth, and Bachelor's. Apply Now for Data Science Course Demo.

What certificate will I receive?
Great Lakes Executive Learning would award each of its candidates with a PG program in Data Science and Engineering certificate. Great Lakes has constantly been ranked as one among the top business schools in the country for its Data Science, Analytics and MBA programs. Great Lakes has also been ranked as one among the top 10 in recruiter’s perception intending that the Great Lakes certificate is appreciated profoundly by leading companies in India. Click here to View Data Science Certificate.
How will I be evaluated during the Data Science Course?
The PG Data Science Course is an extraordinary and comprehensive program and supplemented by a continuous assessing scheme. Candidates are evaluated in the courses they encounter through case studies, quizzes, assignments or project reports.
What is the Data Science course fee? Is there any financial aid provided?
Please find the Program Fee Structure here. The admissions department will provide you all the aid needed in applying for loans once you accept the offer of admission. We guarantee that money is not a barrier in the path of learning.
Would the content be available to me after completion of the course?
We strongly believe that learning is a steady process and hence, access to Learning Management System (Olympus) which houses the learning stuff would be accessible by the candidates up to one-year post completion of the program. Click Here - Download Data Science Course Brochure.
Would I have to spend extra on books, online learning material or license fee?
All the essential learning material is presented online to candidates through the Olympus - Learning Management System. Candidates are free to buy any reference books or material as may be guided by the faculty. Apply Now for Data Science Course Demo.
Where will the classes be held?
The data science classes for Chennai batch will be held at the Great Lakes Learning Center within the cities. Chennai - See see on Map.
Is accommodation provided?
Great Learning will not offer any accommodation to the candidates. Outstation candidates are asked to arrange accommodation for themselves.
Do I need to bring my own laptop?
All the candidates expected to bring their own laptops and the technical specifications will be distributed once you get registered for the program.
What is the admission process?
All the interested candidates can now apply for the Data Science Course through the online application. The great Lakes board will screen and shortlist the candidates. These candidates will be required to take up an aptitude test followed by a personal interview. An admission offer letter will be mailed to the elected candidates. Click Here for Data Science Program Admission & Selection Process.
What is the refund policy for the Course?
We would want all the candidates to be mindful of the complete information before they get registered for the program. No refund requests will be admitted once the fee has been paid. However, the candidate will be obliged to choose to differ his/her enrollment to a future batch.
Will there be placements at the completion of the course?
Yes, all the candidates who successfully finish this program will get placement assistance. Once the candidates finish the program, candidates will be offered a lot of interview chances for up to 3 months. Candidates will also be given thorough support with constant mentorship, reviews, interview preparation, etc. Click Here - Great Learning Career Excelerate.
How can I apply for the Data Science Course?
If you are excited about taking up this program, you can apply for this program through the online application form. Do get in touch with us at dse@greatlearning.in or +91 92056 80225 for any queries concerning this program.
What would be the average package offered?
A career in analytics and data science are acknowledged as the highest-paid job roles in the IT sector. Many analytical studies declare that the average payrolls in these fields would fluctuate from 3-8 lakhs in India. Besides, the career growth rates anticipated in these roles are way better than many other roles in many fields. Many studies state that this period is the best season to start up a career in analytics and data science. Click Here to Explore about Data Science Placement Assistance.
What is the demand for Data Science in Chennai?
The city of Chennai is declared to possess a huge number of industries. Therefore there exists a gigantic scope for the field of Data Science in Chennai. At present, there are about 600+ job openings for different job roles in the field of data science. Hence Chennai is one of the best destinations if you are passionate about building a career in data science.
Where is the Data Science course center located in Chennai?
The center is located in 1st Floor, Prince Info City II, Old Mahabalipuram Road (OMR), Kandanchavadi Chennai, Tamilnadu 600096. Click here to see on Map.

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

If you are one of the many enthusiastic youngsters who is desiring to start their career in data science? Or are you one of the many working professionals seeking the right opportunity to take up a data science course for encountering a career breakthrough? Learn more about data science if you are extremely passionate about starting a new career in this booming field.

Before we learn much exciting stuff about the current day's buzz word, data science, let us know what it is exactly.

What is data science?

Data science is a vast subject that comprises multiple disciplines employing several structures, patterns, systems, algorithms and many more to derive the needed and meaningful insights from a particular set of data whether it is structured or unstructured. A person who works on data science is usually called as a data scientist.

The following are the major steps performed by any data scientists on a daily basis

  • Data acquisition
  • Data preparation
  • Data analysis
  • Data modeling
  • Data visualization
  • Data deployment
  • Data maintenance

What are the different job roles offered to someone that pursues a data science course?

Apart from data scientists, let us see what are the several job roles that can be offered in this specific field. Since data science has enormous demand and is being adopted by many industries, there are many job roles and many responsibilities being assigned to the people working in this field.

  • Data reporting executive
  • Business Analyst
  • Statistician
  • Data engineer
  • Data architect

What are the different roles and responsibilities of a data scientist?

Understanding the business problem

Before a data scientist could perform any operation, the first and foremost responsibility is to clearly understand the business problem. Understanding the problem also includes determining the objectives.


Asking several questions to avoid confusion and get the right information is also one of the major job roles of a data scientist.

Data collection

Once the problem is understood, a data scientist gathers data from multiple channels such as web servers, databases, etc. Retrieving the right data isn't an easy task as it demands a lot of effort and time.

Data Preparation

This process is divided into two categories. Namely, data cleaning and data transformation, The process of data cleaning consumes a lot of time as a data scientist encounters multiple complex scenarios to deal with. Working on inconsistent databases, duplicate data, misspelled attributes, etc are examples of the complex issues. Data transformation is the process of modifying the cleaned data considering the determined mapping route. Transforming the data that is understandable by the people involved in the project is a challenging task which any data scientist would encounter on a daily routine.

Data analysis

Data analysis is the process of understanding what to be done with the derived data by applying various tools of data science. This process involves defining and refining of the data. Data analysis is the most important phase of data science as it involves discovering the right way to execute the process using the given data.

Data modeling

Data modeling is applying various approaches and systems to get the best model that fits the requirements to solve the existing business problems. Training the data models and testing them are two continuous processes involved in this specific phase of data science.

Data visualization and communication

Creating effective reports is an important job role of a data scientist. Communicating with the clients and other people involved in the data science project to describe the derived solution by using various data visualization tools.

Data deployment

Before deploying the project, data scientists will have to test them in a preproduction environment. Once it is successful, the data scientists would deploy it to the clients.

Data Maintenance

Once the project is delivered maintaining the analytics of the performance of the project would be the last duty involved in a data science project.

Scope for Data science in Chennai

Statistics state that there exits around 4000+ large scale and 8000+ small and medium scale industrial companies within the city of Chennai. Chennai is one of the most popular cities in our country that promotes IT services.

Hence there exists an enormous scope for the field of Data Science in Chennai. Currently, there are around 600+ job openings for different job roles in the field of data science. Hence making data science as a career is a wise choice. If you are a resident of Chennai or you desire to move there for finding a career opportunity, ensure that you take up the most prestigious and high in demand data science course in Chennai and give a kick start to your career.

What are the major prerequisites of learning a data science course?

Programming languages

Knowing different programming languages such as R, Python, C++ etc is a major prerequisite of learning a data science course. Being good at excel is an add on for learning data science. Python programming language is highly preferred in data science especially in the phase of data modeling.


Statistics is a major aspect of data science as data science work more on the application of statistical theories. In fact, one who pursues a data science course can also be referred to as a statistician. So, it is very important to be good at statistical concepts such as variability, normal distribution, etc help understand the various important modules of data science.

Data Visualization tools

The application of data visualization tools is one of the daily routines of any data scientist. So, it is necessary to have knowledge of the data visualization tools such as Tableau, click view, Power BI to make it easy for the clients as well as the other people working through this project.

What are the various sectors that apply data science?

Health care Industry

Data science gives the best understanding of the genetic issues and helps to understand the patient's reaction for any specific drug. This empowers a doctor to prescribe the best medicine for his patients.


Data science is also employed in the field of education. It serves various purposes such as monitoring the student needs, introducing the innovative curriculum, etc and enhance the learning methodologies of the education sector.

Logistics sector

Logistics companies are employing the techniques of data science to discover the best route to deliver a particular product. This saves a lot of time, money and effort on a daily basis contributing to the profit of these companies. Data science also helps the logistics sector to promote better customer experience.

Human Resource Management

Data science is being applied in human resource management to understand and analyze an employee's performance. This helps any organization to recognize and reward their employees.


Airlines are now employing data science techniques to predict the accurate landing time, delay time etc which makes the passengers comfortable and better their traveling experience.

In the past decade, data science has become a need for many sectors and industries to serve various purposes. Apart from the above-mentioned industries, there are many more sectors employing data science in their businesses. There is an unbelievable scope for the profession above-mentioned in the field of Data science especially in cities like Chennai. Start an amazing career by choosing to take up an amazing Data Science course in Chennai.