Data Analytics
- Strong fit
- B.Com, BBA, BCA, B.Sc (all), B.Sc Statistics, B.Sc Data Science, CSE, IT
- Career track
- analytics
00Topic
Data & Analytics
Analytics is no longer a technical specialism reserved for computer science students. Commerce, science and management graduates are being hired into roles that expect them to work with data and explain what it shows. These seven courses run from spreadsheet competence through SQL and dashboards to statistics and machine learning, and most of them assume no technical background at the start.
- Topic
- 03 · DATA
- Degrees
- B.Com · BBA · B.Sc · BCA · MBA
- Courses
- 7 · 3 full
- Levels
- Foundation → Applied → Advanced
01Courses
7 courses in this topic
Advanced Excel & AI-Powered Excel
- Strong fit
- B.Com, BBA, BBM, BMS, B.Sc, BCA, MBA
- Career track
- analysis and business operations
SQL & Database Analytics
- Strong fit
- BCA, B.Sc CS, B.Sc IT, CSE, IT, Data Science, MCA
- Career track
- data engineering and analytics
Business Analysis & Requirements Engineering
The Business Analyst is one of the highest-volume entry roles in Indian IT services, and almost nothing at undergraduate level prepares students for it. This course teaches the actual job: eliciting what stakeholders need but have not said, writing requirements a developer can build from, modelling processes, and managing the gap between what was asked for and what was meant.
- Strong fit
- BBA, BBM, BMS, BCA, B.Com, MBA, MCA
- Lead role
- Business Analyst
Business Intelligence — Power BI & Tableau
Turning data into something a manager will act on. Power BI is taught as the primary platform because it dominates Indian job listings; Tableau is taught as the transferable second tool. Covers the part most BI courses skip: defining a metric correctly, because a beautiful dashboard built on a wrong definition is worse than no dashboard.
- Strong fit
- B.Com, BBA, BCA, B.Sc, CSE, IT, MBA, MCA
- Lead role
- BI Analyst
Statistics for Business & Data
The reasoning underneath every analysis. Taught for students who will use statistics rather than prove theorems: what a distribution tells you, when a difference is real, how sampling goes wrong, and how to resist the impressive-sounding result that will not survive scrutiny. Built around business and research cases, not abstract exercises.
- Strong fit
- B.Sc Statistics, B.Sc Data Science, B.Com, BBA, economics, MBA, psychology
- Lead role
- Data Analyst
Data Science & Machine Learning
The full data science workflow, taught with the emphasis where the job actually is: framing, data preparation and honest evaluation, rather than algorithm trivia. Students build and evaluate real models, learn why most models fail in production, and finish able to defend a modelling decision to someone who will ask hard questions.
- Strong fit
- B.Sc Data Science, B.Sc Statistics, CSE, IT, AI/ML, MCA
- Lead role
- Junior Data Scientist
02Pathways
Where these courses lead
- B.Com Career AcceleratorB.Com · M.Com
- BBA / BBM / BMS Career AcceleratorBBA · BBM · BMS
- BCA / B.Sc CS Career AcceleratorBCA · B.Sc CS
- Engineering (CSE / IT) Career AcceleratorCSE · IT
- Engineering (Mechanical / Civil / Industrial)Mech · Civil · Industrial
- B.Sc (Science) Career AcceleratorB.Sc
- Data & Analytics SpecialisationAny stream
- Nursing & Allied Health Career AcceleratorNursing · Allied Health
- MBA / MCA Career AcceleratorMBA · MCA
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