
About Course
The Data Analytics course is designed to equip learners with the practical skills and analytical mindset needed to transform raw data into meaningful business insights. In today’s data-driven world, organizations rely heavily on data analytics to make informed strategic decisions and improve overall performance.
Throughout this comprehensive program, you will learn how to collect, clean, analyze, and visualize data using industry-standard tools and techniques. The course covers essential concepts such as data modeling, exploratory data analysis (EDA), statistical analysis, and storytelling with data — ensuring you develop a strong analytical foundation.
Over the course of six weeks, you’ll gain hands-on experience with leading tools like Power BI, Tableau, Excel, SQL, and Python, learning how to turn complex datasets into actionable insights. Each week includes practical projects and case studies designed to simulate real-world business scenarios, helping you apply your learning in a professional context.
By the end of this course, you’ll be able to:
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Build dynamic dashboards and reports for data-driven decision-making.
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Analyze trends, identify patterns, and forecast business performance.
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Use data analytics to solve complex business problems with confidence.
This program prepares you to pursue roles such as Data Analyst, Business Analyst, or BI Developer, empowering you to make an immediate impact in any data-driven organization.

This course is designed for participants who want to pursue a career in Data analytics and those who wants to learn new tools and technologies related to business intelligence. Business Intelligence is taking over the world due to huge amount of data so this course designed for the participants who wants to become business analysts.
OUR SUCCESS STORIES

Rukhsar Nadeem
Data Engineer


Arham Matloob
BI Developer


Inam ul Haq
Big Data Consultant


Saqib Lateef
BI Developer


Jawad Riaz
BI Developer


Saad Farooq
Laravel Developer

Schedule
Pricing
Meet the Trainer

Tools & Technologies




Course Outline
- SQL Basics
- OLTP / OLAP
- DWH Architecture
- Implementation of DWH
- Introduction to SQL DWH Architecture
- Advance SQL
- Business intelligence EcoSystem
- Logical Data Model
- Introducing Business Intelligence
- The Business Value of BI
- The Challenges of BI
- Making the Business Case for BI
- Barriers to BI
- BI in the Marketplace
- Working with Sale Industry Project
- Working with Ecommerce Industry Project
- Data Modeling/Transformation
- Normalizations
- Data Quality Key Factors
- Operations
- EL/TL
- Data Quality Checks
- Modern vs Traditional DWH
- Working with ETL Tools(Informatica/Knime/Pentaho)
- Data warehouse Development
- Dimensional Modeling
- Working with Teradata
- Introduction to Power BI
- Tabular Models
- Self-Service BI and PowerPivot
- Simple DAX & Advance DAX’s
- Tabular Models
- DAX Time Intelligence Functions
- Project 1: Finance Dashboard
- Project 2: Sales Performance Dashboard
- Project 3: HR Analytics Dashboard
- Capstone Project (Client Simulation)
- Building Your Portfolio
- Resume, Interview & Freelancing Prep
- Mock-up Interviews with Industry Experts