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Kickstart your career in Data Science and Business Analytics with this program from Great Learning

The curriculum of the PGP in Data Science and Business Analytics: V.22 has been updated in consultation with industry experts, academicians and program alums.

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Kickstart your career in Data Science and Business Analytics with this program from Great Learning

Illustration by Kickstart your career in Data Science and Business Analytics with this program from Great Learning

According to McKinsey & Co and Nasscom, data and AI could contribute USD 500 billion to India’s GDP by 2025. The AI & data science market is growing exponentially and is brimming with job opportunities. To that end, Great Learning’s PG Program in Data Science and Business Analytics: V.22 is a springboard to launch a career in the field.  The curriculum of the PGP in Data Science and Business Analytics: V.22 has been updated in consultation with industry experts, academicians and program alums to make it cutting-edge.

Program curriculum 

The program will focus on:

Foundations

  • Introduction to data science
  • Marketing and CRM
  • Statistical methods for decision making
  • Business finance
  • SQL Programming

Data science techniques

  • Optimisation Techniques
  • Predictive Modeling
  • Advanced Statistics
  • Data Mining
  • Time Series Forecasting
  • Machine Learning

Domain exposure

  • Marketing & Retail Analytics
  • Finance and Risk Analytics
  • Web and Social Media Analytics
  • Supply Chain and Logistics Analytics

Visualisation techniques

  • Data Visualisation Using Tableau

Capstone projects

The capstone projects will be in the areas of retail, web and social media, e-commerce, banking, supply chain, insurance, finance and accounts etc.

What makes this program different?

  • Students will get eight industry sessions, six practice hackathons and three virtual sessions to connect with peers
  • The participants will also have access to 15 case studies
  • They will also have the choice of nine Optional modules -4 from Previous Version +Model Deployment +(GL Elevate AI Accelerator Pack) Power BI, Applications of AI, Cloud Computing, Blockchain.
  • Students will have the option to choose between Saturday/Sunday Mentoring Sessions.
  • They will be provided with a Handbook on Case Studies by Alumni & Sessions by Alums on ‘How They Applied Data Science at Work’.
  • They will be provided three 1:1 Career Coaching Sessions and three company sponsored hackathons.
  • Students will receive Guidance to publish Capstone Project in reputed Journals or present at conferences.

Career support

Great Learning will also provide career support through the following mechanisms:

e-portfolio

An e-portfolio is a snapshot of all the projects done and skills acquired during the program shareable across social media channels to showcase expertise to potential recruiters.

Resume building and interview preparation

Guidance will be provided to build the students’ resumes to highlight their skills and their previous professional experience. Students will also learn to crack interviews with the help of interview preparation sessions.

Career guidance 

Students will get access to career mentoring from industry experts who’ve transitioned to Data Science roles.

Job board

The program provides candidates access to the Great Learning Job Board. Over Great Learning works with over 500 organisations to recruit students. The candidates get an average salary hike of 48 per cent on a successful transition.

Program benefits

Corporate partners

The program is designed, delivered and endorsed by leading analytical, technology and consulting firms. The corporate partners of the course are involved in curriculum design, facilitating projects, industry lectures and also suggesting pedagogical improvements. 

Industry relevant curriculum

The curriculum combines academic elegance and business relevance to facilitate participants in learning the basics of management, data science techniques and applications for data-based decision making. 

Flexible learning

The PGP-DSBA program provides utmost learning flexibility. You can learn while you earn with online sessions. The course accommodates transfer cases and sabbaticals and provides the option to catch up when you miss classes.

Hands-on exposure

An integral part of the learning experience is the use of Data Science and Analytics tools wherein the candidates get hands-on exposure to Python, SQL, Tableau, R (Online).

Testimonials

The capstone project was one of the most memorable parts of the process – Sherin Shoby, PGP DSBA

Shoby comes with a master’s degree in commerce and over seven years of experience in the service industry. After taking a break to raise her child, her journey in Data Science started in 2015 when she enrolled for a Post Graduate Diploma in Applied Statistics through IGNOU and started taking up small freelancing projects. During this time, she was on the lookout for full-time programs where she could meet like-minded people, have interactions and increase her network. So, she took up the Post Graduate Program in Data Science and Business Analytics in 2020 at Great Learning.

She adds, “The journey so far has been nothing less than overwhelming and rewarding. I have nothing but gratitude for all the changes I experienced in life. I’ve met amazing people who have become very good friends, teachers who have been excellent guides, and to date, I do not hesitate to call and get my doubts and queries cleared because that is the level of comfort I have had.”

The industry-based curriculum broadened the spectrum of new job opportunities – Goushika Madhmitha, PGP DSBA

 Madhmitha completed her bachelor’s degree in B.Tech-EEE and, as a fresher, joined an IT firm. She was interested in the DBMS process in software development and started to work on projects using ETL applications over seven years across a few organisations. 

 She was fortunate enough to have a solid support system that helped her juggle and concentrate on work, the PGP-DSBA course from Great Learning, and my family at the same time.

She adds, “I started using ML applications at my workplace, and this triggered my interest in Data Science. I also started looking for more course content on Data Science. However, lack of exposure and understanding of the field was one of the obstacles, as not many women are working in the data science field.”

“It is a learning process, and one should be very agile in understanding the requirements of Data Science from various industries, as the application is endless. However, concentrating more on understanding the basics helps crack and identify problem statements from any dataset. I was at a point where I felt stagnant in my position and was looking to upskill myself without having to quit my current job, and that’s when I started researching about Great learning,” she said.

She also stated that Great Learning professors and materials provided for the program assisted greatly with the curriculum. The students also managed to adjust their pace of understanding, despite the pandemic. She learnt under the guidance of amazing faculty; specifically, Prof. Gurumoorthy, who patiently clarified, cleared and revised basic concepts every time the class started advanced topics. The students also learnt from motivating faculty like Prof. Ragavshyam Ramamurthy and Prof. Deepesh Singh, who shared their industry experience while explaining concepts.

Industry renowned certificates

Students can get two post-graduate certificates: McCombs’ School of Business at UT Austin and Great Lakes Executive Learning, the executive learning arm of Great Lakes (A Top 10 B-School in India). 

A student can get the most up-to-date learning experience that reflects the changing industry landscape.

The program fee is ₹2,40,000 + GST (the top 35 students will be able to reserve the seat at a fee of ₹2,25,000 + GST). 

Apply for the course here.

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Sreejani Bhattacharyya

I am a technology journalist at AIM. What gets me excited is deep-diving into new-age technologies and analysing how they impact us for the greater good. Reach me at sreejani.bhattacharyya@analyticsindiamag.com
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