Overview
Data Analytics with Power BI
Data Analytics with Power BI involves using Microsoft's Power BI platform to collect, transform, visualize, and analyze data from various sources. It enables users to create interactive dashboards and reports, uncover insights, and make data-driven decisions through powerful visualizations and intuitive tools. Power BI supports real-time data monitoring, collaboration, and integration with other Microsoft services, making it a versatile tool for business intelligence.
Our Trainers
Modules
Day 1: Introduction to Data Analytics & the Data Science Workflow
Day 2: Data Collection & Understanding Data Types
Day 3: Data Cleaning & Pre-processing
Day 5: Data Visualization
Day 6: Statistical Analysis & Hypothesis Testing
Day 7: Introduction to Machine Learning in Analytics
Day 7: Introduction to Machine Learning in Analytics
Day 8: Dashboard Design & Business Intelligence Tools
Day 9: Real-World Case Studies & Group Projects
Day 10: Project Presentations & Career Pathways in Data Analytics
Outcomes
• Understand what data analytics entails and where it is used
• Get familiar with the analytics lifecycle and tools involved
• Identify and differentiate types of data
• Understand how to collect and extract data using SQL
• Perform essential data cleaning tasks
• Understand the importance of preprocessing for accurate analysis
• Gain insights into the dataset using statistical summaries
• Explore relationships between features
• Visualize data trends and distributions effectively
• Choose appropriate charts for different data types
• Apply basic statistical techniques to validate assumptions
• Interpret results to make data-driven decisions
• Understand the basics of predictive modeling
• Train and evaluate a simple ML model
• Design effective BI dashboards
• Communicate insights clearly to stakeholders
• Apply all learned concepts to a real dataset
• Collaborate to derive actionable insights
