This Data Analytics course teaches you how to turn raw data into clear business insights. You will learn Excel, SQL, Python, Power BI, dashboard design, KPI reporting, exploratory data analysis, and data storytelling. The program focuses on practical datasets and business problems so you can confidently clean data, find trends, build reports, and explain recommendations to stakeholders.
This Data Analytics course teaches you how to turn raw data into clear business insights. You will learn Excel, SQL, Python, Power BI, dashboard design, KPI reporting, exploratory data analysis, and data storytelling. The program focuses on practical datasets and business problems so you can confidently clean data, find trends, build reports, and explain recommendations to stakeholders.
Program Length
9 weeks
Learning Modules
5
Guided Lessons
28
Portfolio Projects
6
Program Focus
What this track is built around
5 core outcomes
01Data Analytics Foundations
02Excel and Spreadsheet Analytics
03SQL for Data Analysis
04Python for Analytics
05Power BI and Data Storytelling
Skills Covered
Excel Analytics, PivotTables, and Power Query
SQL Queries, Joins, Aggregations, and Window Functions
Data Cleaning and Exploratory Data Analysis
Python with Pandas, NumPy, and Visualization Libraries
Power BI Dashboards and DAX Measures
Business Metrics, KPI Tracking, and Reporting
Data Storytelling and Insight Presentation
Course Structure
Course Curriculum
Comprehensive learning path designed by industry experts
Understand analytics roles, workflows, business metrics, and the data-to-decision process.
✓What Data Analysts Do
✓Analytics Lifecycle and Problem Framing
✓Business Metrics, KPIs, and Dimensions
✓Types of Data and Data Quality Issues
Duration
1 week
Lessons
4 lessons
Use Excel to clean, transform, analyze, and report business data.
✓Excel Formulas and Lookup Functions
✓Data Cleaning and Formatting
✓PivotTables and Pivot Charts
✓Power Query for Data Transformation
✓Basic Dashboards in Excel
✓Spreadsheet Reporting Best Practices
Duration
2 weeks
Lessons
6 lessons
Query relational databases and prepare datasets for analysis and reporting.
✓SELECT, WHERE, ORDER BY, and GROUP BY
✓Joins and Relationship Modeling
✓Aggregations and Conditional Logic
✓Subqueries and Common Table Expressions
✓Window Functions
✓Case Study: Business Reporting with SQL
Duration
2 weeks
Lessons
6 lessons
Use Python to clean data, explore patterns, and create visual summaries.
✓Python Basics for Analysts
✓NumPy and Pandas for Data Manipulation
✓Handling Missing Values and Outliers
✓Exploratory Data Analysis
✓Visualization with Matplotlib and Seaborn
✓Notebook-Based Reporting
Duration
2 weeks
Lessons
6 lessons
Build interactive dashboards and communicate insights clearly to stakeholders.
✓Power BI Data Modeling
✓DAX Measures and Calculated Columns
✓Dashboard Layout and Visual Selection
✓Filters, Slicers, and Drill-Downs
✓Data Storytelling and Insight Presentation
✓Capstone Dashboard Review
Duration
2 weeks
Lessons
6 lessons
Hands-On Projects
Our Real-Time projects help you gain knowledge and enhance your skills.
Scroll horizontally to explore all projects.
Project 01
Sales Insights Dashboard
Analyze sales data and build an interactive dashboard for revenue, profit, product, region, and channel performance.
Tech Stack
Power BI
Excel
DAX
Tools
Power BI Desktop
Excel
Power Query
Skills
Dashboarding
KPI Design
Sales Analytics
Project 02
Customer Behavior Analysis
Segment customers, identify purchase trends, and create recommendations for marketing and retention teams.
Tech Stack
SQL
Python
Pandas
Tools
Jupyter Notebook
PostgreSQL
Tableau
Skills
Customer Segmentation
EDA
Insight Generation
Project 03
HR Attrition Report
Explore employee attrition patterns and present a dashboard highlighting departments, tenure, compensation, and risk groups.
Tech Stack
Excel
Power BI
SQL
Tools
Power BI
Excel
SQL Server
Skills
HR Analytics
Reporting
Business Recommendations
Project 04
Marketing Campaign Performance
Measure campaign reach, conversion, cost, and ROI across channels to recommend budget allocation.
Tech Stack
SQL
Power BI
Excel
Tools
Google Analytics
Power BI
Excel
Skills
Marketing Analytics
ROI Analysis
Attribution Basics
Project 05
Operations KPI Tracker
Build a reporting system for inventory, delivery times, order delays, and fulfillment performance.
Tech Stack
SQL
Power Query
Power BI
Tools
Power BI
Excel
PostgreSQL
Skills
Operations Analytics
Data Modeling
KPI Reporting
Project 06
Python Exploratory Data Analysis
Clean a messy dataset, handle missing values, detect outliers, and create visual insights using Python notebooks.
Tech Stack
Python
Pandas
Seaborn
Tools
Jupyter Notebook
Google Colab
Matplotlib
Skills
Data Cleaning
EDA
Visualization
Project 01
Sales Insights Dashboard
Analyze sales data and build an interactive dashboard for revenue, profit, product, region, and channel performance.
Tech Stack
Power BI
Excel
DAX
Tools
Power BI Desktop
Excel
Power Query
Skills
Dashboarding
KPI Design
Sales Analytics
Project 02
Customer Behavior Analysis
Segment customers, identify purchase trends, and create recommendations for marketing and retention teams.
Tech Stack
SQL
Python
Pandas
Tools
Jupyter Notebook
PostgreSQL
Tableau
Skills
Customer Segmentation
EDA
Insight Generation
Project 03
HR Attrition Report
Explore employee attrition patterns and present a dashboard highlighting departments, tenure, compensation, and risk groups.
Tech Stack
Excel
Power BI
SQL
Tools
Power BI
Excel
SQL Server
Skills
HR Analytics
Reporting
Business Recommendations
Project 04
Marketing Campaign Performance
Measure campaign reach, conversion, cost, and ROI across channels to recommend budget allocation.
Tech Stack
SQL
Power BI
Excel
Tools
Google Analytics
Power BI
Excel
Skills
Marketing Analytics
ROI Analysis
Attribution Basics
Project 05
Operations KPI Tracker
Build a reporting system for inventory, delivery times, order delays, and fulfillment performance.
Tech Stack
SQL
Power Query
Power BI
Tools
Power BI
Excel
PostgreSQL
Skills
Operations Analytics
Data Modeling
KPI Reporting
Project 06
Python Exploratory Data Analysis
Clean a messy dataset, handle missing values, detect outliers, and create visual insights using Python notebooks.
Tech Stack
Python
Pandas
Seaborn
Tools
Jupyter Notebook
Google Colab
Matplotlib
Skills
Data Cleaning
EDA
Visualization
CERTIFICATIONS
Industry Recognized Certifications
On completion of a program each participant gets a course completion, internship and outstanding performance certificates.
We collaborate with leading organizations to provide you with the best learning experience.
Frequently Asked Questions
Everything you need to know about our internship program. Can't find the answer you're looking for? Reach out to our team.
Data analytics is important because organizations depend on data to understand customers, improve operations, measure performance, reduce costs, and make better decisions. Analysts turn raw data into meaningful reports, dashboards, and recommendations that business teams can act on.
Data analytics has strong career prospects across finance, marketing, operations, HR, healthcare, retail, logistics, and technology. Roles include Data Analyst, Business Analyst, MIS Executive, Reporting Analyst, BI Analyst, Operations Analyst, and Marketing Analyst. Skills in Excel, SQL, Python, and Power BI are highly valued.
No prior experience is required. The course starts with analytics foundations and then covers Excel, SQL, Python, Power BI, data cleaning, dashboards, KPIs, and storytelling. Basic comfort with numbers helps, but the program is designed to build skills step by step.
Yes, upon successful completion of the internship program, you will receive three certificates: a course completion certificate, an internship certificate, and an outstanding performance certificate based on your performance during the program.
You will work on projects such as sales dashboards, customer behavior analysis, HR attrition reports, marketing campaign analysis, operations KPI trackers, and Python-based exploratory data analysis. These projects help build a practical analytics portfolio.
Still have questions?
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