Data Science & Analytics Fundamentals at BITS-Hyderabad
Transform Raw Data into Actionable Business Insights
A beginner-friendly introduction to data science and analytics that teaches you to collect, clean, analyse, and visualise data to answer real business questions. Using Python, Pandas, and Excel/Power BI, you will complete a full data analysis project by the end of the day — no prior experience required.
Only few seats remaining • No refunds within 21 days
Workshop Impact
Turn Data into Decisions — Start Your Analytics Journey
From raw CSV files to compelling business insights in one day
Data Foundations
Understand data types, structures, and the end-to-end analytics workflow from collection to insight.
Analysis & Visualization
Clean messy data, run statistical analysis, and create charts that tell a clear story.
Business Insight Delivery
Build a Power BI dashboard and present findings that drive real decision-making.
What Makes This Workshop Special
Both Python and Excel/BI
Learn the analyst's full toolkit — Python for power users and Excel/Power BI for business contexts.
Real Business Datasets
Work with actual e-commerce, healthcare, and finance datasets — not toy examples.
IIT-Backed Certificate
A valued credential for analyst and data-driven business roles.
Who Should Attend?
For anyone who works with data or wants to
Business Analysts
Marketing & Finance Pros
Management Students
Entrepreneurs
This Workshop is For Those Who Want To...
Understand the data science workflow from problem definition to insight delivery
Load, clean, and explore datasets using Python Pandas and Excel pivot tables
Perform descriptive statistics: mean, median, standard deviation, and correlations
Create compelling visualisations with Matplotlib, Seaborn, and Power BI
Write basic SQL queries to extract data from relational databases
Build and present a complete data analysis story to stakeholders
What You'll Learn
- Structured vs. unstructured data
- Data science workflow: CRISP-DM
- Types of analytics: descriptive, diagnostic, predictive
- Data sources: CSV, API, web scraping basics
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