Introduction to Data Analytics
Get familiar with data analytics concepts, workflow, and key tools.
- Understanding data analytics lifecycle
- Types of data and sources
- Introduction to Excel, SQL, and Power BI
- Data-driven decision making
Excel for Data Analytics
Learn to clean, organize, and analyze data using Excel functions and tools.
- Data cleaning with filters and formulas
- Pivot tables and charts
- Conditional formatting and dashboards
- Data validation and lookup functions
SQL for Data Management
Learn how to manage, query, and analyze structured data using SQL.
- Understanding databases and tables
- Writing SELECT, WHERE, and JOIN queries
- Aggregations and subqueries
- Creating reports using SQL
Power BI Data Visualization
Build stunning dashboards and reports using Microsoft Power BI.
- Connecting data sources
- Data modeling and DAX formulas
- Creating visual reports and KPIs
- Publishing dashboards online
Python for Data Analysis
Use Python to automate and analyze large datasets efficiently.
- Using Pandas and NumPy for data handling
- Data cleaning and transformation
- Data visualization using Matplotlib
- Basic statistics and insights generation
Data Cleaning & Preparation
Learn the techniques of cleaning and preparing raw data for analysis.
- Handling missing values
- Formatting and normalization
- Removing duplicates and outliers
- Preparing structured datasets
Advanced Excel & Power BI Integration
Combine Excel and Power BI for professional-level analytics.
- Importing Excel models into Power BI
- Advanced charting and slicers
- Dynamic dashboards with filters
- Interactive business reports
Data Storytelling & Presentation
Learn to communicate insights effectively through visuals and storytelling.
- Choosing the right charts
- Data-driven presentations
- Storyboarding insights for decision makers
- Building report summaries
Automation & Reporting Tools
Automate your analytics tasks for better efficiency.
- Automating Excel tasks with Macros
- Scheduling Power BI refreshes
- Using Python scripts for repetitive analysis
- Automated email reporting
Mentorship & Career Guidance
Get personalized mentorship and career support for Data Analytics roles.
- 1-on-1 guidance from industry experts
- Doubt-solving and code reviews
- Interview question discussions
- Career path counseling
Capstone Project Mentoring
Work on real-world business datasets under expert supervision.
- Developing dashboards and reports
- Analyzing KPIs and insights
- Peer review and feedback sessions
- Final project evaluation
Resume & Placement Assistance
Prepare to enter the industry with expert job support.
- Building a strong resume and LinkedIn profile
- Mock interviews and tests
- Placement opportunities with partners
- Career growth roadmap
Sales & Marketing Dashboard Project
Analyze and visualize business sales data to identify key trends.
- Data cleaning and preparation
- KPI creation and analysis
- Interactive Power BI dashboard
Customer Insights Analysis Project
Perform customer segmentation and retention analysis using SQL & Python.
- Data exploration and pattern analysis
- Predictive insights generation
- SQL-based reporting and visualization
Financial Data Reporting Project
Work on finance-based datasets for forecasting and reporting.
- Time-series analysis
- Power BI dashboard creation
- Business insights presentation
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