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PGDM in Business Analytics at PRAXIS BUSINESS SCHOOL
South 24 Parganas, West Bengal
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About the Specialization
What is Business Analytics at PRAXIS BUSINESS SCHOOL South 24 Parganas?
This Business Analytics program at Praxis Business School focuses on equipping students with the skills to transform complex data into actionable business insights. Amidst India''''s burgeoning digital economy and data-driven policy push, this program stands out by integrating management principles with cutting-edge analytical tools. It emphasizes practical application, preparing graduates for the high demand for analytics professionals across various Indian industries.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the analytics domain, particularly those with a quantitative background. It also caters to working professionals aiming to upskill in data science or transition into data-centric roles within their organizations. Career changers from non-technical backgrounds with a strong aptitude for numbers and problem-solving will also find this program valuable.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including Data Analyst, Business Intelligence Developer, Machine Learning Engineer, and Analytics Consultant. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The program aligns with industry-recognized certifications and prepares students for growth trajectories in major Indian and multinational companies operating in India.
Student Success Practices
Foundation Stage
Build a Strong Quantitative and Business Acumen Base- (Trimester 1-2)
Focus intensely on core subjects like Statistics for Management, Financial Reporting, and Managerial Economics. Attend all lectures, actively participate in discussions, and solve practice problems regularly. Develop a solid understanding of business fundamentals that will serve as the context for analytics.
Tools & Resources
Textbook exercises, Online courses (e.g., NPTEL for Stats), Peer study groups, Business newspapers (e.g., Economic Times, Business Standard)
Career Connection
A strong foundation ensures accurate data interpretation and relevant problem formulation, crucial for any analytics role and future career growth in India''''s competitive job market.
Master Foundational Analytics Tools & Database Skills- (Trimester 1-2)
Dedicate significant time to hands-on practice with tools introduced in Business Analytics Tools - I (likely Excel-based) and Database Management System. Work on numerous mini-projects involving data cleaning, manipulation, and basic visualization. Understand SQL thoroughly.
Tools & Resources
Excel''''s data analysis toolkit, SQL practice platforms (e.g., LeetCode SQL, HackerRank SQL), MS Access, Sample datasets from Kaggle or government portals
Career Connection
Proficiency in these foundational tools is a basic requirement for most entry-level data analyst and BI developer roles in Indian companies, providing a significant competitive edge.
Develop Effective Business Communication Skills- (Trimester 1-2)
Actively participate in presentations, group projects, and case study discussions. Seek feedback on both written reports and verbal presentations. Work on structuring arguments logically and presenting insights clearly, avoiding excessive jargon.
Tools & Resources
Toastmasters International clubs (if available), Communication workshops, Peer review of presentations and reports, Reading business articles for effective writing styles
Career Connection
In India, analysts often need to explain complex data to non-technical stakeholders. Strong communication skills are vital for career progression and influencing business decisions.
Intermediate Stage
Deep Dive into Machine Learning and Predictive Modeling- (Trimester 3-4)
Beyond coursework, explore advanced concepts in Machine Learning and Predictive Modeling using Python or R. Work on capstone projects or independent studies that apply these models to real-world datasets, focusing on problem-solving rather than just algorithm implementation.
Tools & Resources
scikit-learn (Python), caret (R), TensorFlow/Keras basics, DataCamp, Coursera, Kaggle competitions, Industry webinars
Career Connection
This specialization prepares students for roles as Machine Learning Engineers or Predictive Modelers, which are highly sought-after and well-compensated in the Indian tech and analytics industry.
Secure and Leverage Industry Internships- (Post Trimester 3, during Trimester 4 breaks)
Actively seek out and secure internships during breaks or in the second year, preferably in companies that offer significant exposure to business analytics projects. Focus on applying learned concepts, networking with professionals, and understanding industry practices.
Tools & Resources
College placement cell, LinkedIn, Naukri.com, Internshala, Professional networking events, Alumni connections
Career Connection
Internships are crucial for gaining practical experience, building a professional network, and often lead to pre-placement offers, a common recruitment trend in India''''s corporate sector.
Master Data Visualization and Storytelling for Impact- (Trimester 3-4)
Continuously practice creating compelling data visualizations and dashboards using tools like Tableau or Power BI. Focus on telling a clear story with data, highlighting key insights and actionable recommendations for business decision-makers. Participate in visualization challenges.
Tools & Resources
Tableau Public, Power BI Desktop, "Storytelling with Data" by Cole Nussbaumer Knaflic, Online tutorials, Dribbble for design inspiration
Career Connection
The ability to translate complex data into understandable and impactful stories is a critical skill for business intelligence and analytics consultants in India, enabling them to drive strategic decisions.
Advanced Stage
Specialize through Advanced Electives and Projects- (Trimester 5-6)
Strategically choose advanced analytics electives that align with your career goals (e.g., Financial Analytics, Marketing Analytics). Undertake a comprehensive capstone project or dissertation that solves a complex business problem using advanced analytics techniques, ideally with an industry partner.
Tools & Resources
Advanced modules of Python/R libraries, Cloud analytics platforms, Industry case studies, Faculty mentorship, Guest lectures from industry experts
Career Connection
Deep specialization makes candidates highly attractive for niche roles in specific industry verticals in India, differentiating them in the job market and potentially leading to higher starting salaries.
Prepare for Placements and Mock Interviews- (Throughout Trimester 5-6)
Regularly participate in mock interviews, aptitude tests, and group discussions organized by the placement cell or student clubs. Refine your resume and portfolio of analytics projects. Practice explaining complex technical concepts in simple business language.
Tools & Resources
Placement cell resources, Online aptitude test platforms (e.g., IndiaBix), Interview preparation guides, Peer-to-peer mock interviews
Career Connection
India''''s campus placement process is highly competitive. Thorough preparation is essential for securing a good job offer, especially for sought-after analytics roles.
Build a Professional Network and Personal Brand- (Throughout Trimester 5-6)
Attend industry conferences, workshops, and networking events. Engage with alumni and professionals on LinkedIn. Start building an online portfolio (e.g., GitHub, Medium blog) showcasing your projects and insights. Mentor junior students.
Tools & Resources
LinkedIn, Industry associations (e.g., NASSCOM, AIM), Professional meetups, Personal website/blog
Career Connection
A strong professional network can open doors to opportunities beyond campus placements, providing mentorship and insights into industry trends, invaluable for long-term career growth in India.
