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Why choose this course?
Prestigious certification from Vishlesan i-Hub, IIT Patna
Real world capstone projects designed to solve practical challenges
Learn from IIT faculty & industry experts bringing real-world insights to your learning journey.
Placement assistance, resume reviews, coaching(Eligibility: 7 CGPA, 65% attendance)
*Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score
What will you learn?
A 10-week hands-on program for aspiring data and business analysts. Build the technical toolkit — Python, SQL, pandas, and Tableau — alongside the analytical thinking and communication skills that real analyst roles demand from day one.
Meet our Instructor Team
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Course Details
Core Technical Skills — Python, SQL & Spreadsheets
- Learn Python from a practical analytics lens — variables, data types, conditions, loops, functions, files, and JSON so you can write, debug, and reuse day-to-day analytical code with confidence
- Understand how relational databases, tables, keys, filters, aggregations, joins, and reporting logic work — and use SQL to query structured business data and generate KPI-style summaries
- Build spreadsheet confidence with formulas, references, lookups, pivot tables, and report-style summaries — the tool every analyst and operations professional reaches for first
- Leave this module with three tools in your hands that cover the majority of real business data work — Python for scripting, SQL for databases, and Sheets for fast reporting
Data Handling & Exploration
- Work with arrays, Series, and DataFrames using NumPy and pandas — indexing, filtering, grouped analysis, table joins, string cleaning, datetime handling, missing values, and derived columns
- Prepare raw, messy data for reliable analysis — the skill that separates analysts who produce trustworthy outputs from those who produce impressive-looking ones that do not hold up
- Explore datasets using summaries, grouped analysis, and core charts — bar, line, histogram, box, and scatter — and learn to interpret patterns clearly instead of just producing outputs
- Build EDA habits that make every subsequent analysis faster: know what your data is before you ask it questions, and know when the data itself is the problem
Mini Projects Unlocked
ChurnGuard — Predicting Customer Exit Before It Happens
LoanLens — Automated Credit Risk Assessment
RentRight — Predicting Fair Apartment Prices
Dashboarding & Business Insight Communication
- Import clean data into Tableau, build basic visuals and KPI cards, and read dashboards as business stories — trends, anomalies, and what they actually mean for decisions
- Write short, clear insight notes that separate observation from interpretation — the format every analyst needs to communicate findings to a non-technical stakeholder
- Understand what a well-structured business dashboard should contain and why — so you can evaluate, critique, and improve reporting setups in any team you join
- Go from data output to decision-ready summary in a format that earns trust — the last-mile skill that most technical programs skip entirely
Mini Projects Unlocked
DataGenie — Natural Language Data Analyst
SupportAI — Intelligent FAQ Helpdesk Agent
ResearchPilot — Automated Market Research Agent
Modern Analyst Toolkit — ML, GenAI & APIs
- Build beginner-level ML intuition — vectors, gradients, probability, supervised vs unsupervised learning, regression vs classification, train-test split, overfitting — so you understand how AI systems work conceptually before using them
- Work with APIs and JSON end-to-end: endpoints, requests, responses, API keys, and data structures — so you can pull external data, inspect it, and move it into a clean analysis workflow
- Write stronger prompts using context and constraints, compare weak and structured prompting, and apply verification discipline — because blind trust in AI outputs is a professional liability
- Bring it all together: Python, SQL, Sheets or Tableau, and GenAI support in one compact end-to-end workflow that produces a short, validated, data-backed output — the kind a real team would use
Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module"