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PGDM-BUSINESS-ANALYTICS in General at Prin. L. N. Welingkar Institute of Management Development and Research
Bengaluru, Karnataka
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About the Specialization
What is General at Prin. L. N. Welingkar Institute of Management Development and Research Bengaluru?
This PGDM Business Analytics program at Prin. L. N. Welingkar Institute of Management Development & Research, Bengaluru focuses on equipping students with advanced analytical skills and business acumen. It addresses the growing demand for data-driven decision-makers in the Indian industry, preparing professionals to leverage big data for strategic advantage and innovation across various sectors.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the rapidly expanding field of business analytics, working professionals looking to upskill in data science and machine learning, and career changers transitioning into data-centric roles. Candidates from diverse academic backgrounds with a quantitative aptitude are encouraged to apply.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including Business Analyst, Data Scientist, Marketing Analyst, Financial Analyst, and Consultant. Entry-level salaries typically range from INR 6-10 LPA, with significant growth trajectories in leading Indian companies and MNCs. The program also aids in preparing for relevant professional certifications.
Student Success Practices
Foundation Stage
Master Quantitative and Business Fundamentals- (Trimester 1-2)
Dedicate time to build a strong foundation in quantitative methods, economics, and core management principles. Actively participate in classroom discussions and solve case studies to understand interdependencies across business functions. Leverage online resources like Coursera or edX for supplementary learning in areas like statistics and basic analytics.
Tools & Resources
Textbooks on Quantitative Methods, Economics Journals, Case Study Competitions, Coursera/edX
Career Connection
A strong foundation ensures a deep understanding of business contexts, critical for applying analytics effectively and excelling in early career roles.
Develop Robust Communication Skills- (Trimester 1-2)
Engage in presentations, group projects, and public speaking opportunities. Focus on structuring thoughts, visual communication, and persuasive rhetoric. Seek feedback on communication style and practice articulating complex analytical insights to non-technical audiences, a vital skill for business analysts.
Tools & Resources
Toastmasters International (if available), Presentation software (PowerPoint, Google Slides), Business Communication workshops
Career Connection
Effective communication is crucial for translating data insights into actionable business strategies and advancing into leadership positions.
Cultivate Peer Learning and Networking- (Trimester 1-2)
Form study groups to discuss complex topics and share diverse perspectives. Actively participate in student clubs and professional bodies within the institute. Attend introductory industry webinars and networking events to understand different career paths in analytics and connect with peers and mentors.
Tools & Resources
LinkedIn, Industry webinars, Student clubs (e.g., Analytics Club)
Career Connection
Building a strong professional network early on provides mentorship, job leads, and collaborative opportunities throughout your career.
Intermediate Stage
Gain Hands-on Analytical Tool Proficiency- (Trimester 3-4)
Focus on mastering essential analytical tools like Python (with libraries like Pandas, NumPy, Scikit-learn), R, SQL, and data visualization tools (e.g., Tableau, Power BI). Work on mini-projects and participate in Kaggle competitions to apply theoretical knowledge to real-world datasets.
Tools & Resources
Python (Anaconda distribution), R Studio, SQL databases (e.g., MySQL), Tableau Public, Power BI Desktop, Kaggle, HackerRank
Career Connection
Proficiency in these tools is a non-negotiable requirement for almost all business analytics and data science roles in India.
Undertake Industry Internships and Live Projects- (Trimester 3-4)
Actively seek and complete internships or live projects, preferably in the analytics domain, to gain practical exposure to business challenges and corporate environments. Apply theoretical concepts learned in class to solve real-world problems and build a portfolio of work.
Tools & Resources
Institute''''s Placement Cell, Internshala, Naukri.com, LinkedIn Jobs
Career Connection
Internships are critical for practical experience, industry networking, and often lead to pre-placement offers, significantly boosting placement prospects.
Specialize and Deepen Domain Knowledge- (Trimester 3-4)
Beyond core analytics, identify a specific business domain (e.g., Marketing Analytics, Financial Analytics, HR Analytics) that interests you. Take relevant elective courses and read industry-specific reports to become a domain expert, enhancing your value to potential employers.
Tools & Resources
Industry reports (e.g., NASSCOM, Deloitte), Specialized online courses, Domain-specific analytics blogs
Career Connection
Specialized knowledge in a domain makes you a more targeted and attractive candidate for specific roles within the analytics ecosystem.
Advanced Stage
Develop a Robust Analytics Portfolio- (Trimester 5-6)
Compile all your projects, internships, and competition entries into a well-structured portfolio. This should include detailed problem statements, methodologies, tools used, results, and business implications. Showcase it on platforms like GitHub and personal websites to demonstrate your capabilities.
Tools & Resources
GitHub, Personal website/blog, Behance (for visualization projects)
Career Connection
A strong portfolio is essential for showcasing practical skills and project experience to recruiters, significantly improving your chances in competitive Indian job market.
Intensive Placement Preparation- (Trimester 5-6)
Engage in rigorous placement preparation, including mock interviews (technical, HR, and case study-based), aptitude tests, and group discussions. Review core analytics concepts, algorithms, and SQL thoroughly. Focus on behavioral questions and demonstrating problem-solving abilities.
Tools & Resources
Institute''''s Career Services, Online aptitude platforms, InterviewBit, Glassdoor
Career Connection
Thorough preparation is paramount for navigating the competitive campus placement process and securing desirable job offers in analytics.
Pursue Advanced Certifications and Capstone Projects- (Trimester 5-6)
Consider pursuing advanced certifications in specific tools or domains (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) if time and resources permit. Undertake a comprehensive capstone project or dissertation that integrates multiple analytical techniques to solve a significant business problem.
Tools & Resources
Official certification platforms (AWS, Google Cloud), Industry mentors, Research papers
Career Connection
Advanced certifications validate specialized skills, while a strong capstone project demonstrates the ability to deliver end-to-end analytical solutions, crucial for high-impact roles.
