Data Science and Business Analytics (University of Maryland) Professional Certificate Program
The Professional Certificate in Data Science and Business Analytics is a 7-month online program by University of Maryland's Robert H. Smith School of Business, perfect for tech and non-tech professionals. Learn predictive analytics, machine learning, and data visualization with Python, SQL, and Tableau, requiring 12-15 hours weekly.
World-Class Curriculum - Covers statistics, ML, and business analytics with real-world projects.
Career Support - 1:1 coaching, resume optimization, and interview prep.
Flexible Learning - Online with 24/7 support and 3 years of content access.
Global Credential - Verified certificate from Maryland Smith.
Industry Tools - Master Python, SQL, Tableau, and advanced analytics platforms.
Expert Faculty - Learn from product leaders and industry professionals.
Bachelor's degree from a recognized university (no minimum marks)
No technical experience needed; ideal for tech, marketing, sales, or UI/UX pros
Updated resume or CV
Scanned academic transcripts or degree certificates
Government ID (Aadhaar, Passport, or PAN Card)
Apply online; shortlisted candidates attend 15-minute telephonic interview
Module 1
Product Fundamentals - Market research - PESTLE - SWOT analysis
Module 2
User Design - UI/UX - wireframing - prototyping
Module 3
Product Development - Agile - Scrum - MVP creation
Module 4
Analytics & Growth - A/B testing - Google Analytics - growth hacking
Module 5
Strategic Decision-Making - Stakeholder collaboration - product launches
Machine Learning Fundamentals - Algorithms for predictive modeling and pattern recognition.
Generative AI - Advanced modules on AI creation and applications.
Data Visualization & Analytics - Tools for interpreting and presenting data insights.
Big Data Handling - Techniques for managing large-scale datasets.
AI Ethics & Applications - Responsible AI practices in real-world scenarios.
Job Roles
Top Recruiters
(indicative). EMI from ₹5,000/month; scholarships available.
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