“How can professionals find a solid footing in the ever-evolving analytics landscape?”
This is one of the most frequently asked questions by aspiring data analysts. An increasingly common trend is to get a degree or certification, brush up on your Python, R and SAS skills, fill a tidy portfolio with predictive modelling projects, and sit back for the offers to roll in. A lot of professionals share they are able to find good jobs with leading MNCs after a certification course or a degree. However, just self-directed learning path cannot help in building a growth mindset or expose one to new ideas.
One of the key ingredients professionals miss out during their learning journey is timely and actionable feedback from industry experts. This helps aspirants draw from the experiences of senior professionals and learn from it. A mentor-mentee relationship is very important, as the mentors can give practical knowledge and insights to the theory which the student is learning in the classroom. In fact, numerous successful data scientists claim that it was due to the resilience and motivation of their mentors, that they were able to achieve great success.
Mentorship is not just about teaching and evangelizing or sharing new concepts, it is one of the best ways to ensure you are on the right learning path and one level up in your career as compared to your peers. In fact, Alibaba co-founder Jack Ma and Facebook’s Sheryl Sandberg attributed their mentors for shaping their careers.
As the training system evolves and learning systems migrate online, learners need to acquire skills like development tools, IDEs, programming languages, business visualisation skills and analytics tools that will help them succeed in their careers. Mentors and industry experts, armed with more than a decade of experience can help learners cut through the noise and map out a career trajectory that only goes upwards.
Professional Learning through mentorship at Great Learning
At Great Learning, industry mentorship is a major component of all programs. Personalised mentorship is one of the key pillars of Great Learning’s programs and their deep relationships with leading tech companies has fostered an analytics community of excellence.
Across the breadth of programs, industry mentors work with student groups and give the participants valuable insights.
Great Learning’s PGP Data Science and Business Analytics (DSBA) which builds on the success of PGP-BABI is offered in conjunction with the University of Texas at Austin. Mentor-assisted learning is one of the major differentiators of PGP-DSBA which has transitioned 2,500+ candidates over the last 5 years. This program has 100+ industry mentors who have helped candidates from diverse backgrounds — IT, BFSI, Healthcare, Manufacturing, Telecom among others develop strategies for a successful data science career. The program has both leading academicians and industry experts so that learners get the right mix of theory and practical knowledge that will help them along in their career paths.
“The moduled structure of content has a proper flavor of which should come first. Mentor Sessions are a key (or I would say a backbone) because in a virtual world it’s really hard to get that Human Interaction feel. Prompt responses to queries from Program Office boosted the overall output from modules.”Aishwarya Saraf (Great Learning alumna)
Manager Specialised Services, Analytics, at Hitachi Consulting
The rebranded program also has industry mentors who will interact with you online one-on-one and will answer all your questions and make a positive impact on your journey/development as a data scientist. The program is delivered in two formats — online and classroom mode. So whether you want to upskill or align with a Data Science career trajectory, PGP – DSBA has got you covered with the most comprehensive, mentor-led program.
Differentiate Yourself With A Mentor-Assisted Program
DSBA’s mentors work like a personal coach, who support the learners throughout their learning journey, give actionable career advice and ensure students are on track with their assignments and case studies. With 30 online personalized mentorship sessions (for the online program) and 30 mentor-led sessions on the weekend (for classroom program), candidates can broaden their performance and personal growth. The students also have access to an online learning management system for online content.
The program content developed by faculty members from the University of Texas at Austin, Great Lakes and industry experts covers the latest analytics techniques and provides an accelerated, personalized learning environment to candidates.
- The curriculum is divided into 5 modules – covering the foundations, analytics techniques, visualization tools along with domain exposure across Retail and Marketing Analytics, Finance and Risk Analytics and Web and Social Media Analytics.
- Every module features hands-on projects which gives candidates the opportunity to apply classroom learning to real business problems.
- Candidates can also build real-world skills with the application-oriented Capstone project and company-sponsored hackathons.
- The program is led by a stellar faculty including Dr PK Viswanathan (PhD Madras University), Dr Abhinanda Sarkar (PhD Stanford), Dr S Bharadwaj (PhD University of Maryland), Dr B Mukhopadyay (PhD Indian Statistical Institute) among other leading academicians who are consistently ranked among the Top 10 data science academicians in India.
How Mentorship From Great Learning Can Grow Careers
The career support activities at Great Learning are clubbed under the GL Excelerate program, which helps the students highlight their skills and connect with the right people to avail the perfect opportunities. The program provides every learner exclusive access to regular recruitment drives, curated jobs each month, interview preparation workshops and career mentorship from mentors personalised to their experience and industry.
Hari Nair, co-founder at Great Learning , says: “At Great Learning, we believe that for learning to be effective and meaningful, it is important that the learner should have access to personalised attention, assistance and access to real-world problems from faculty and subject matter experts. None of these should be compromised because the delivery format is online. We have challenged the notion that online learning experience should be passive in nature. This is the reason why our online programs are built on live and personalised mentorship by faculty and industry experts. And as they say, the result is in numbers — Great Learning online programs have the highest completion rates and satisfaction numbers among online programs.”
As learning becomes more experiential and interactive, mentor-assisted learning programs will emerge as the most in-demand, learning delivery formats for professionals who are looking to develop job-ready skills. Tech-savvy professionals who want to align their career look for support, encouragement and guidance which programs like PGP – DSBA can fulfil. Great Learning’s PGP DSBA alumni have received a 48% hike after completion, have built a formidable peer network and have achieved their career goals successfully with this program.
Mode: 12-month classroom mode | 11-month online mode
Certification: Dual certificate from the McCombs School of Business at the University of Texas at Austin, and Great Lakes Executive Learning
Mentorship Sessions: 30 classroom or 30 online, depending on the program variant
Tools: Python, Tableau, R, SAS, SQL
Fee: ₹4.25 lakh (classroom mode) | ₹2.25 lakh (online mode)
Financial aid: Loans at 0% interest rate available from Axis Bank, Zest Money, Eduvanz, HDFC Credila
Batches starting every month with classroom variants available in Mumbai, Bangalore, Delhi NCR, Chennai, Hyderabad and Pune. For more details click here.
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Prajakta is a Writer/Editor/Social Media diva. Lover of all that is 'quaint', her favourite things include dogs, Starbucks, butter popcorn, Jane Austen novels and neo-noir films. She has previously worked for HuffPost, CNN IBN, The Indian Express and Bose. You can reach her at firstname.lastname@example.org