Excel Foundations
Get comfortable working with data in spreadsheets.
- Cells & Ranges
- Formulas
- Formatting
- Sorting & Filtering
- Basic Charts
- Data Entry Best Practices
Learn Advanced Excel, SQL, Python, Power BI and data visualization with real datasets, business-style projects and placement-focused preparation.
SELECT region,
SUM(revenue) AS total_revenue
FROM sales
WHERE order_date >= "2026-01-01"
GROUP BY region
ORDER BY total_revenue DESC;
6–8 Months
Classroom + Practical
6+ Real Projects
Placement Preparation
One structured path from spreadsheets to SQL, Python and interactive dashboards.
Clean, analyse and model data with formulas and pivots.
Query and join data from relational databases.
Automate analysis and work with large datasets.
Handle missing, messy and inconsistent data.
Build interactive reports and business dashboards.
Communicate insights with clear, honest charts.
Apply core statistics used in real analysis.
Design dashboards stakeholders actually use.
Learn in the order the industry actually needs you to learn.
Understand data types, sources and the analytics workflow.
Analyse and model data with formulas, lookups and pivot tables.
Pull and combine data directly from databases.
Use Python and Pandas to automate and scale analysis.
Turn messy data into analysis-ready datasets.
Build interactive dashboards for real stakeholders.
Prepare for analytics interviews, case studies and HR rounds.
Get comfortable working with data in spreadsheets.
Analyse and model data like an analyst.
Learn the statistics used in everyday analysis.
Query data directly from databases.
Combine and analyse data across tables.
Automate and scale your analysis with Python.
Prepare real, messy datasets for analysis.
Communicate findings clearly and honestly.
Build interactive business dashboards.
Deliver an end-to-end analytics project and prepare for interviews.
Your portfolio should prove what you can build, not just what you have studied.
Build an interactive Excel dashboard with pivot tables, slicers and KPIs from a raw sales dataset.
Answer real business questions by querying and joining data across multiple tables.
Clean a real-world dataset and produce an EDA report with Python and Pandas.
Take a raw dataset from cleaning and modelling to a published, interactive Power BI dashboard with insights.
Technical skills are only one part of becoming job-ready. We prepare you for the complete hiring process.
Create an analytics-focused resume.
Showcase real dashboards and analysis.
SQL, Excel, case-study and guesstimate rounds.
Practice framing and solving business problems.
Experience real interview-style sessions.
Receive your SP IT Academy Data Analytics certificate after successfully completing the required curriculum and projects.
This is to certify that
has successfully completed the
Data AnalyticsTalk to our counsellor and understand the batch, curriculum, fees and career path.
Share your basic details with us.
Discuss your goals with our counsellor.
Select the schedule that works for you.
Begin your Data Analytics journey.
Learn. Build. Practice. Get ready for the industry.