Course description

This course is designed to equip you with practical skills in data analysis using the most in-demand tools in the industry. You will learn how to work with datasets, clean and transform data, draw insights, and present visual reports using tools like Excel, SQL, Power BI, and Python.

Whether you're a beginner or transitioning into analytics, this course includes hands-on projects, case studies, and real-world business scenarios. By the end, you’ll be able to apply for roles such as Data Analyst, Business Analyst, or Reporting Analyst with confidence.

Course Curriculum

Module 1: Introduction to Data Analytics

• What is data analytics?

• Types of analytics: Descriptive, Diagnostic, Predictive, Prescriptive

• Data analytics lifecycle

Module 2: Data Handling in Excel

• Excel formulas and functions

• PivotTables and charts

• Data validation and conditional formatting

• Dashboards and data visualization

Module 3: SQL for Data Analysis

• Database concepts and ER diagrams

• Writing basic to advanced SQL queries

• Joins, subqueries, aggregation

• Data extraction and reporting with SQL

Module 4: Data Visualization with Power BI

• Power BI interface and workspace

• Data import, transformation, and cleaning

• Creating interactive dashboards

• DAX functions and calculated fields

Module 5: Python for Data Analytics

• Python basics (variables, functions, loops)

• Pandas and NumPy for data manipulation

• Data visualization with Matplotlib and Seaborn

• Exploratory Data Analysis (EDA)

Module 6: Working with Business Data

• Real-world datasets (sales, marketing, finance)

• KPI analysis and dashboards

• Business storytelling with data

• Case study: End-to-end project with Power BI and Python

Module 7: Data Cleaning and Preparation

• Handling missing data

• Outlier detection

• Data type conversions and standardization

• Using Power Query and Python

Module 8: Capstone Project

• Complete a business-focused data analytics project

• Combine Excel, SQL, Python, and Power BI

• Present insights in a final dashboard

What will i learn?

• Analyze and visualize data using Excel, SQL, and Power BI
• Clean, organize, and interpret data
• Build interactive dashboards and present business insights
• Apply for roles like Data Analyst, Business Intelligence Analyst

Frequently asked question