Data Analytics Complete Course
The Data Analytics course is designed for students, freshers, and professionals who want to build practical skills in data analysis, visualization, reporting, and business intelligence. Learn to collect, clean, analyze, and visualize data using industry-standard tools while working on real-world datasets and projects.
What You'll Learn
Course Features
Course Content
Module 1: Introduction to Data Analytics
- What is Data Analytics?
- Types of Analytics
- Role of Data Analyst
- KPI And Metrics Basics
- Business Use Cases
Module 2: Advanced Excel Fundamentals
- Tables And Structured References
- Workbook Management
- Advanced Formatting
- Named Ranges
- Data Organization
Module 3: Advanced Excel Formulas And Functions
- Lookup Functions: VLOOKUP, HLOOKUP, XLOOKUP, INDEX MATCH
- Logical Functions: IF, IFS, AND, OR, IFERROR
- Text Functions: LEFT, RIGHT, MID, LEN, CONCAT
- Date And Time Functions: TODAY, NOW, DATEDIF
Module 4: Data Cleaning And Preparation
- Remove Duplicates
- Flash Fill
- TRIM
- Text to Columns
- Data Validation
- Conditional Formatting
Module 5: Pivot Tables And Dashboard Reporting
- Pivot Table Creation
- Pivot Charts
- Slicers
- Dynamic Reports
- KPI Dashboards
- Sales Dashboard
- HR Dashboard
Module 6: Basic SQL And Database Concepts
- Introduction to Database
- Tables And Relationships
- Basic SQL Queries: SELECT, WHERE, ORDER BY, GROUP BY, COUNT, SUM, AVG
Module 7: Statistics And Business Analytics
- Mean, Median, Mode
- Standard Deviation
- Variance
- Correlation
- Trend Analysis
- Forecasting Basics
Module 8: Python for Data Analytics
- Introduction to Python
- Variables And Data Types
- Conditional Statements And Loops
- Functions
- Lists, Tuples And Dictionaries
- NumPy Basics
- Pandas for Data Analysis
- Reading CSV And Excel Files
- Data Cleaning with Pandas
- Data Visualization using Matplotlib And Seaborn
Module 9: Power BI Fundamentals
- Power BI Interface
- Data Import
- Data Connections
- Data Modeling Basics
Module 10: Power BI Query And Data Transformation
- Power Query Editor
- Data Cleaning
- Merge Queries
- Append Queries
- Data Transformation Techniques
Module 11: Power BI Data Modeling, Visualization And DAX
- Table Relationships
- Schema Understanding
- Data Types
- Relationship Management
- Visualization: Bar Charts, Pie Charts, KPI Cards, Matrix Tables, Maps, Gauge Charts
- DAX Functions: CALCULATE, SUMX, FILTER, IF
Module 12: Power BI Interactive Dashboard Development
- Interactive Dashboards
- Filters And Slicers
- Drill Through Reports
- Dashboard Optimization
- Report Publishing
- Learn more on the official Microsoft Power BI website
Module 13: Project Work
- Employee Salary Analysis
- Sales Analysis Dashboard
- Attendance Tracker
- Inventory Management
Career Opportunities
Data Analyst
Collect, clean, analyze and interpret data to support decisions.
MIS Executive
Build and maintain management reports and dashboards.
Business Intelligence Analyst
Turn business data into insights using modern BI tools.
Reporting Executive
Prepare regular reports and performance summaries.
Junior Data Analyst
Support analytics tasks, data preparation and reporting.
Data Analyst Trainee
Learn on the job while building practical analytics skills.
Who Should Join And Why Choose This Course?
This course is ideal for students, graduates, business professionals, and anyone interested in making data-driven decisions.
Through hands-on projects, real-world datasets, and industry-relevant tools, you'll learn how to collect, analyze, visualize, and interpret data effectively. The course builds practical analytical skills that are valuable across industries and prepares you for roles in data analytics, business intelligence, and reporting.
Ready to Get Started?
Have questions about the course? Talk to our mentors for personalized guidance, or explore our job-ready courses and take the next step toward your career.