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PGP - Data Science and Engineering in Mumbai

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Application Deadline - 20th Nov 2019

Academic Partner

  • Great Lakes Logo

Why Learn Data Science?

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.

Great Learning rank-1
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.

Great Learning certificate
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.

Great Learning rank-4
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.

Great Learning talent pool
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.

Great Learning rank-8
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.

Great Learning Placement Assistance
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.

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6.9L Average CTC | 15.6L Highest CTC | 85% 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.

Great Learning program structure-3

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.

Great Learning lab sessions

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.

Great Learning program structure-2

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
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
Applications
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
  • Building interactive dashboards using Tableau
  • Data Visualization using Tableau
Download Curriculum

Course for 5+ years of Work Experience

PGP - Data Science and Business Analytics

Online|7 Months

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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

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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

Great Learning rupee icon 3,50,000 + GST
Installments
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

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

20th Nov 2019

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 program is a full-time classroom program and endures for 5 months that covers a 1-month capstone project. Classes occur 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 excellent event for candidates to work on industry-like data science queries under the mentorship of faculty/industry guides. This project would bring in all the knowledge that candidates would have received in the course and would work on problems correlated with 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 join 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 applicable for those candidates pursuing their final semester and recent graduates with 0-3 years of experience. All the applicants must have 60% or above in Xth, XIIth, and Bachelor's. Apply Now for Data Science Course Demo.

What certificate will I receive?
All the successful participants will be presented with a PG program in Data Science and Engineering certificate by Great Lakes Executive Learning. Great Lakes has persistently 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 determining that the Great Lakes certificate is valued 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 excellent and critical program and accompanies a continuous assessing scheme. Candidates are assessed in the courses they undergo through case studies, quizzes, assignments or project reports.
What is the Data Science course fee? Is there any financial aid provided?
Please see the Program Fee Structure here. The admissions department will aid you in applying for loans once you confirm the offer of admission. We assure money is not a limitation in the path of learning.
Would the content be available to me after completion of the course?
We strongly believe that learning is a consistent process and hence, access to Learning Management System (Olympus) which houses the learning material would be convenient to access 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 provided online to candidates through the Olympus - Learning Management System. Candidates are free to buy any reference books or material as may be directed by the faculty. Apply Now for Data Science Course Demo.
Where will the classes be held?
The data science Classes for Mumbai candidates will be held at Hotel Ramada-Powai.
Is accommodation provided?
Great Learning will not contribute any accommodation to the candidates. Outstation candidates are solicited to organize accommodation for themselves.
Do I need to bring my own laptop?
All the candidates required to bring their own laptops and the technical specifications will be shared once you get registered for the program.
What is the admission process?
All the interested candidates can just apply for the Data Science Course through the online application. The great Lakes board will screen and shortlist the candidates. These candidates will be asked to take up an aptitude test followed by a personal interview. An admission offer letter will be mailed to the selected 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 conscious of the complete information before they get registered for the program. No refund requests will be considered once the fee has been paid. However, the candidate will be allowed 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 support. Once the candidates finish the program, candidates will be given a lot of interview opportunities for up to 3 months. Candidates will also be offered extensive 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 enthusiastic about taking up this program, you can apply for this program by filling up the online application form. Do get in touch with us at dse@greatlearning.in or +91 92056 80225 for any queries associated to this program.
What would be the average package offered?
A career in analytics and data science are appreciated as the highest-paid job roles in the IT sector. Many analytical studies assert that the average payrolls in these fields would vary from 3-8 lakhs in India. Besides, the career growth rates expected in these roles are way better than many other roles in many domains. Many pieces of research 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 Mumbai?
Mumbai is one of the striking cities that stands as the center for the IT sector in the country. Data science has accomplished a broad scope in Mumbai. At present, 1100+ openings are available for numerous job roles in the field of data science. Hence Mumbai is an ideal place to start a career in data science.
Where is the Data Science course center located in Mumbai?
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

Now a days, the word data science has been heard in every corner. Data science has rapidly achieved demand and has changed the metrics of automation forever. Data science has now become one of the most desired technologies in any sector or industry.

What is Data Science?

Data science is a process of performing several operations on structured or unstructured data and derives meaningful insights. This process involves the application of various scientific methods, patterns, systems to operate on a given data to derive the desired outputs. In other words, data science is nothing but the study of data to extract knowledge.

These days, data science is used as an effective tool by many organizations irrespective of the sector they belong to, for solving many industrial problems and cause major benefits such as cost reduction, finding the best decision, discovering new markets and many more.

Who is a data scientist?

A data scientist is someone who takes the data either small or big and starts developing and applying several machine learning and deep learning algorithms such as neural networks to derive meaningful insights. The data scientists also use advanced predictive analytics and derive meaningful insights. Data scientists often employ these techniques to solve different business problems. All the major techniques of data science demand mathematical techniques and a lot of programming skills.

The following is the step by step activities performed by any data scientists on a daily basis

  • Data gathering
  • Data preparation
  • Data analysis
  • Data modeling
  • Testing
  • Data visualization
  • Data deployment
  • Data maintenance

The Rising impact of Data science

Data science has gained unbelievable demand in no time. The number of people desiring a career in this specific field is increasing rapidly. From agriculture to airlines, data science has remarkable applications in every sector. The list of industries embracing data science is increasing rapidly in number even as days pass by.Considering the demand for data science applications, industries are paying a huge packages to the various job roles of data science. As a matter of fact, the field of data science offers one of the highest paid job roles in the country. The average package of a data scientist is estimated as 6 lakhs per annum.

Let us know about a few of the many applications of data science

Problem solving

Data science is popularly known for it's excellent problem solving capabilities. Problem solving is one of the major concerns in any field. Data science is observed to provide the most accurate decisions for solving several types of problems in various sectors.

Risk analytics

Accurately predicting the future is one of the finest jobs that data science performs. Hence data science is widely applied in many fields like e commerce, IT, finance, transportation and many more to predict the risks and enable them to take the necessary steps to eradicate the risks.

Enhance Gaming experience

Data science is widely used in the field of gaming. Data science helps to understand the user by analyzing his moves and act accordingly which makes the game more exciting. This feature is bringing immense popularity to these games.

Advanced image recognition

Image recognition is one of the applications of Data science which is widely used in fields like social media.

Internet search

Data science is also applied to optimize the search results on search engines like yahoo, google, bing etc to offer the best results to the user. This enhances the efficiency as well as the user experience. This also includes suggesting the related products to the customers based on the previous orders. This is encouraging many e commerce websites to apply the techniques of data science and provide better customer experience.

Fraud detection

Data science is widely applied in sectors like finance, banking, Income tax etc to detect fraudulent activities. Data science studies customer behavior and successfully detects if any fraudulent activity is involved. Thus data science offers security too.

Error detection and control

Error detection is one of the major applications of data science and many industries use data science for serving this particular purpose. Data science identifies and controls the errors occurred on the initial stages avoiding risks and promote efficiency.

Monitoring

Data science is applied for constant monitoring in fields like manufacturing. Data science is responsible for the maintenance and security of the business.

Route mapping

From logistics to airlines, data science has been applied in many sectors to define the best route to avoid hazards. This results in cost cutting, providing better customer experience, time saving, and many more benefits.

Target advertising

Data science serves greater purposes to the field of marketing by enhancing advertising expertise. Data science helps to understand customer behavior and offer them customized shopping experience. This results in promoting cost effective advertisements.

What are the various job roles offered in Data science

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

The demand for Data science in Mumbai

Mumbai is the city that never sleeps. Mumbai is one of the prominent cities that has its heart for the IT sector and it is one of the major IT hubs of India. As a matter of fact, Mumbai gave birth to the first IT company of the country. So, data science has attained a wide scope in Mumbai. Currently, there are 1100+ openings available for various positions in the field of data science. Even as many youngsters are seeking a data science course in Mumbai to start up a new career in this emerging field, the number of data science institutes in Mumbai are also increasing rapidly.

What are the prerequisites to take up a Data science course in Mumbai?

If you are someone among many that is desiring a career in Data science and planning to take up a Data science training in Mumbai, it is mandatory to learn about the prerequisites of learning Data Science.

Mathematics

Data science strongly employs the techniques of mathematics such as linear algebra, matrices, logical regression, mean, mode and many more.

Statistics

Statistics is a major module of data science as many core operations of this field are performed based on statistical concepts such as Descriptive statistics, distributions, hypothesis testing, regression and many more. Hence being strong at statistics is essential to learn data science. In fact, one of the job roles of data science is a statistician.

Programming languages

Being good at programming languages like Python, R, Java, SQL, MATLAB etc is surely considered as the major prerequisites of learning data science. Python is popularly applied in data science. Python is also considered as the most simple and easiest programming languages to learn.

Data visualization tools

Data visualization tools are one of the major prerequisites of learning data science. Being a data scientist, you will need to have excellent presentation skills to effectively deliver the output. Possessing knowledge on different data visualization tools like Tableau, Qlik View, SAS Visual Analytics etc empower you to effectively display the retrieved outcomes.

If you are contemplating on taking up a data science course in Mumbai, you must know that there is no better time than the present to start learning data science and build your career in a long lasting platforms. Ensure that you choose the best data science institute in Mumbai to master this prestigious course.