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PGP - Data Science and Engineering in Mumbai

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Why Learn Data Science?

Why should we learn Data Science at Great Learning
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Why Join our PG Data Science and Engineering Course?

The Great Lakes PGP-Data Science Engineering classroom program is a 5-month program for freshers and professionals who are in the initial stages of their career and want to pursue a career in data science & analytics. After finishing the course, candidates are able to apply for roles such as data analysts, business analysts, analytics engineers, data engineers, etc. as they get to learn the required techniques, technologies, and tools of data science. The candidates also get to experience hands-on application with the help of industry case studies.

Ranked #1 in analytics education

The Great Lakes’ program has been ranked the top in the country for 4 years consecutively. The program also has a 4.8/5 average rating based on parameters such as Brand Value, Faculty, Course Content, and Pedagogy.

PG Certificate from Great Lakes

Great Lakes is counted in the top 10 business schools of the country. It is India’s youngest institute to receive UK accreditation and AMBA and is currently at the top in analytics education.

World class faculty

At Great Lakes, you get to learn from faculty who have years of experience as well as expertise in their respective domains. Many of the Great Lakes’ faculties are ranked high in the list of Data Science academicians within the country.

Intensive bootcamp format

The Data Science Course has a comprehensive Bootcamp format in which you study machine learning and data science with the help of the faculty in the classroom, and get to expand your expertise by attending data science lab sessions. The time period of the program is 20 weeks, which also includes a capstone project of 4 weeks.

Hands-on learning

The program teaches the skills and tools that are sought by prominent companies in Data Science. During the program, candidates get training on SQL, Python, Data Science, Machine Learning, and Tableau. The program participants also gain knowledge from the expert faculty in the classroom lectures, and by taking up numerous challenging projects that cover different applications and topics in Data Science.

Placement assistance

Many companies take part in the hiring drives for the PGP-Data Science Course candidates through the Great Lakes corporate network. The companies that have taken part in these hiring drives recently are Vestas, Flipkart, Mahindra, Big Basket, TVS, Kantar, HSBC, Marlabs, Jana Finance, Cognizant Technology Solutions, etc.

Learn From India's Best Analytics School

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

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Program Structure

The PGP-Data Science Course is a five-month program that combines the classroom teaching method of learning with sessions from industry specialists, and hands-on exercises. The classes take place on weekdays along with the online assignments and discussions.

Classroom learning

Our expert faculty takes up the classroom sessions at the Great Learning centre from Monday to Thursday and the classes begin at 9:30 AM.

Lab sessions

The in-class lab sessions take place on a regular basis and help the candidates in applying the data science concepts to real situations with the advice of an industry expert and faculty.

4-Week project work

With the advice and assessment by industry experts and Great Lakes faculty, candidates undertake an industry project that is oriented towards application.

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

Curriculum

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

Foundations
  • 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
Applications
  • 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
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Course for 5+ years of Work Experience

PGP - Data Science and Business Analytics

Online|7 Months

Learn from the Best

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

Placement Assistance

Great Learning Data Scinece Engineering 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

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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.

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Classroom Experience

Admission Details

Eligibility

  • 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

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
Installments
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

Payments

Candidates can pay the program fee through

account_balance
Net Banking
credit_card
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.

Great Learning education loan financial partners by HDFC

Upcoming Application Deadline

Tomorrow

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.

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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.
The centre is located in Saki Vihar Rd, Murarji Nagar, Mayur Nagar, Passpoli, Powai, Mumbai, Maharashtra 400087

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

A data science course is actively sought after option nowadays, but a few years back, the most common reaction to the media hype regarding “big data” and “data science” was that of sheer confusion!

How data science courses in Mumbai went on to become a popular choice among the population is a simple story of statistics being coupled with computer science. Data science training has emerged as a course that typically designates a profession to those aiming to make sense of the vast storage of big data generated by businesses and corporations alike.

The last decade or so has been amongst the most dynamic times in terms of technology in the whole of India and the world. Today, our country ranks among the largest economies in the world. With a high number of investments pouring into the country, there has been a significant rise in the number of multinational corporations present in Mumbai.

Data science training has been helping reshape the country in the way we utilise data, and has also had a major impact on statistical foreshadowing.

What is Data Science?

Before one enrols himself/herself in a graduate or PG course in data science, be it online or classroom based, it is advisable to know all there is to know about the course and what it entails. Data science is a multidisciplinary field that utilises the inferences of data, development of algorithms as well as technology in order to allow professionals to solve complex analytical problems.

Data is what forms the crux 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 constantly and continuously being streamed in. A well-equipped professional can garner an abundant amount of insights from this information and identify advanced capabilities that can be built with the same.

Discovering Data Insight

In any data scientist course in Mumbai or otherwise, the discovery of data insights is a crucial aspect as it uncovers various inferences from the given data. This part of data science training in Mumbai typically involves teaching candidates how to dive into data on a granular level, which can be mined and studied to understand complex behaviours, inferences, and trends. This brings to the surface any hidden insights that could be helpful for a company in making smarter business decisions.

Mining Data Insights

Once the student has finished his/her online data science training and has gained practical experience in the same, the mining of data insights becomes easier. Data mining begins with simple exploration where data scientists investigate different leads and try to understand the various patterns or characteristics that appear within the data. Apart from the inclination to computer sciences to successfully completing online data science training, a candidate must also have analytical creativity.

In order to learn the basics of mining data and analysing the findings, one can get an online certification as a data scientist or attend full-time data science classes. Once the data has been mined, a data scientist then applies quantitative techniques on those findings which include time series forecasting, segmentation analysis, inferential models, synthetic control experiments, and more. Your data science classes should be able to help you scientifically piece together a view of what the data actually says. This will help you in acquiring data-driven insights that play a major role in providing organisations with the much needed strategic guidance.

An online diploma in data science equips you to be considered as a consultant who can guide businesses and stakeholders on how they are supposed to act on data findings.

Why study data science online?

Many professionals face this question in regards to why they should pursue data science training courses or pursue an online data science program. The answer is simple yet impactful – Big Data! Virtually every company and organisation has large volumes of data and almost all of them wish to utilise that data to find out ways to grow their business. Offline or even online classes in data science equip one with an interdisciplinary skill set that enables them to handle and analyse huge amounts of data. In this regard, a person with an online certification in data science has become an essential employee in a number of industries in various sectors.

A candidate with an online certification as a data scientist knows how to use his/her skills in statistics, programming, maths and other subjects to properly organise large data sets and apply the knowledge gained during their online data science training. The training enables them to uncover the solutions hidden in the big data, which can help businesses reach their goals.

In the recent times, Mumbai 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 opt for an online data science course enhance their career prospects by several folds.

Some Job Titles Related to Online Data Science Certification

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

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

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

If you want to pursue a diploma or a post-graduation in data science, you need to have a good knowledge of subjects ranging all the way from computer science, deep learning, machine learning and python to statistics and mathematics. Missing out on any of the above mentioned skills might have an adverse impact on your journey to becoming a data scientist. As in when you decide to pursue a data science course, you must also consider the fees for that particular data science course.

Before you opt for a data science certification in Mumbai or choose an online data science course, it is suggested that you connect with others from the same domain and clear any doubts which may have bothered you while choosing the curriculum or course for data science in Mumbai.

In regards to blended or online data science programs, Great Learning is a premier data science institute in Mumbai which offers the most comprehensive, up to date and relevant curriculum when it comes to online data science classes. The online data science course offered at Great Learning has been co-created by the top-ranked faculty and industry practitioners throughout the country and world, to arm you with the skills that you need to excel as a data science professional.

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