DATA ANALYTICS

Become a Job-Ready Data Analyst.

Learn Advanced Excel, SQL, Python, Power BI and data visualization with real datasets, business-style projects and placement-focused preparation.

100% Practical Learning
6–8 Months Program
6+ Major Projects
analysis.sql

SELECT region,

SUM(revenue) AS total_revenue

FROM sales

WHERE order_date >= "2026-01-01"

GROUP BY region

ORDER BY total_revenue DESC;

XL Excel
SQL SQL
BI Power BI
01 Duration

6–8 Months

02 Mode

Classroom + Practical

03 Projects

6+ Real Projects

04 Career

Placement Preparation

Everything you need to turn raw data into decisions.

One structured path from spreadsheets to SQL, Python and interactive dashboards.

SQL

SQL

Query and join data from relational databases.

Python & Pandas

Automate analysis and work with large datasets.

CLN

Data Cleaning

Handle missing, messy and inconsistent data.

BI

Power BI

Build interactive reports and business dashboards.

VIZ

Data Visualization

Communicate insights with clear, honest charts.

STAT

Statistics

Apply core statistics used in real analysis.

DASH

Dashboarding

Design dashboards stakeholders actually use.

From your first spreadsheet to your first dashboard.

Learn in the order the industry actually needs you to learn.

01
FOUNDATION

Data Foundations

Understand data types, sources and the analytics workflow.

Data Types Data Sources Analytics Workflow Spreadsheets
02
EXCEL

Advanced Excel

Analyse and model data with formulas, lookups and pivot tables.

Formulas Lookups Pivot Tables Charts What-If Analysis
03
DATABASE

SQL for Analytics

Pull and combine data directly from databases.

SELECT Joins Aggregations Subqueries Window Functions
04
PROGRAMMING

Python for Data

Use Python and Pandas to automate and scale analysis.

Python Basics Pandas NumPy Data Import Grouping
05
ANALYSIS

Data Cleaning & EDA

Turn messy data into analysis-ready datasets.

Missing Data Outliers Transformations EDA Summary Stats
06
VISUALIZATION

Power BI & Dashboards

Build interactive dashboards for real stakeholders.

Power Query Data Model DAX Basics Visuals Publishing
07
CAREER

Capstone & Interview Preparation

Prepare for analytics interviews, case studies and HR rounds.

Case Studies SQL Round Excel Round Resume Mock Interviews

What you will actually learn.

MODULE 01 01

Excel Foundations

Get comfortable working with data in spreadsheets.

  • Cells & Ranges
  • Formulas
  • Formatting
  • Sorting & Filtering
  • Basic Charts
  • Data Entry Best Practices
MODULE 02 02

Advanced Excel

Analyse and model data like an analyst.

  • Lookups
  • IF & Logical
  • Pivot Tables
  • Power Query Intro
  • Dashboards
  • What-If Analysis
MODULE 03 03

Statistics for Analytics

Learn the statistics used in everyday analysis.

  • Descriptive Stats
  • Distributions
  • Correlation
  • Sampling
  • Hypothesis Testing Basics
  • Interpreting Results
MODULE 04 04

SQL Fundamentals

Query data directly from databases.

  • SELECT & WHERE
  • Sorting
  • Filtering
  • Aggregations
  • GROUP BY
  • HAVING
MODULE 05 05

Advanced SQL

Combine and analyse data across tables.

  • Joins
  • Subqueries
  • CTEs
  • Window Functions
  • Views
  • Query Optimisation Basics
MODULE 06 06

Python & Pandas

Automate and scale your analysis with Python.

  • Python Basics
  • Pandas DataFrames
  • Filtering & Grouping
  • Merging
  • NumPy
  • Reading CSV / Excel
MODULE 07 07

Data Cleaning & EDA

Prepare real, messy datasets for analysis.

  • Missing Values
  • Duplicates
  • Outliers
  • Type Conversion
  • Feature Creation
  • Exploratory Analysis
MODULE 08 08

Data Visualization

Communicate findings clearly and honestly.

  • Chart Selection
  • Matplotlib
  • Seaborn
  • Storytelling
  • Colour & Layout
  • Common Mistakes
MODULE 09 09

Power BI

Build interactive business dashboards.

  • Power Query
  • Data Modelling
  • Relationships
  • DAX Basics
  • Interactive Visuals
  • Publishing & Sharing
MODULE 10 10

Capstone & Placement

Deliver an end-to-end analytics project and prepare for interviews.

  • Problem Framing
  • End-to-End Analysis
  • Dashboard Delivery
  • Presentation
  • SQL Interview Practice
  • Resume & Portfolio

Don't just learn. Build.

Your portfolio should prove what you can build, not just what you have studied.

01
EXCEL

Sales Performance Dashboard

Build an interactive Excel dashboard with pivot tables, slicers and KPIs from a raw sales dataset.

Excel Pivot Tables Charts
02
SQL

Business Analysis with SQL

Answer real business questions by querying and joining data across multiple tables.

SQL Joins Aggregations
03
PYTHON

Exploratory Data Analysis

Clean a real-world dataset and produce an EDA report with Python and Pandas.

Python Pandas Visualization
04
CAPSTONE PROJECT

End-to-End Power BI Dashboard

Take a raw dataset from cleaning and modelling to a published, interactive Power BI dashboard with insights.

Power Query Data Model DAX Power BI Storytelling

Learn the skills. Prepare to get hired.

Technical skills are only one part of becoming job-ready. We prepare you for the complete hiring process.

Resume Building

Create an analytics-focused resume.

Portfolio of Dashboards

Showcase real dashboards and analysis.

Analytics Interviews

SQL, Excel, case-study and guesstimate rounds.

Case Study Practice

Practice framing and solving business problems.

Mock Interviews

Experience real interview-style sessions.

YOUR CAREER JOURNEY 01 → 05
01 Learn
02 Practice
03 Build Projects
04 Build Portfolio
05 Apply for Jobs

Finish the journey with a portfolio you can show.

Receive your SP IT Academy Data Analytics certificate after successfully completing the required curriculum and projects.

01 Course Completion Certificate
02 Project-Based Assessment
03 Portfolio Projects
SP IT ACADEMY
PROFESSIONAL CERTIFICATE

This is to certify that

Student Name

has successfully completed the

Data Analytics

Ready to start your Data Analytics journey?

Talk to our counsellor and understand the batch, curriculum, fees and career path.

01

Enquire

Share your basic details with us.

02

Counselling

Discuss your goals with our counsellor.

03

Choose Your Batch

Select the schedule that works for you.

04

Start Learning

Begin your Data Analytics journey.

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Your Data Analytics career starts with one decision.

Learn. Build. Practice. Get ready for the industry.