Microsoft Power BI for Data Science Key Highlights
- 50+ Live sessions across two months
- 63 Hrs Self-paced Videos
- 200 Hrs Project & Exercises
- Learn from Professional
- 1:1 with Industry Mentors
- Resume Preparation & LinkedIn Profile Review
- 24*7 Support
- No Cost EMI Option
Eligibility Criteria
Course Curriculum
- Business Intelligence and Data Analysis
- Installation of Power BI
- Visualizations
- Filters and Slicers
- Other Elements
- Page Navigation
- Components of Power Query
- Data Types
- Text Functions
- Date Functions
- Number Functions
- Multiple Files
- Filtering and Sorting
- Column Operations
- Data Modelling
- DAX
- M Language
- Performance Optimizations
- AI Visuals
- Create an Account
- Publish Report
- Export Report
- Dashboards
- Scheduled Refresh
- Workspaces
- Apps
- Paginated Reports
- Third-Party Visuals
Power BI Projects
Project 1
Industry: Retail Sector
Global Super Store is an online supergiant store that has worldwide operations. This store takes orders and delivers products across the globe and deals with all the major product categories like furniture, office supplies & technology. As a sales manager for this store, you want to analyze the sales of the products based on provided historical data; this analysis will help you to plan your inventory and business processes accordingly. Also, to know the products & customers behavior.
Project 2
Industry: Sales and Finance
PEW Retail Inc. Ltd has subsidiaries across the globe, and they sell products to various customers scattered in different geography. They are looking to have a consolidated dashboard.
Tools Covered
Certification & Faq
Once you successfully complete the Data Science with Python training, provide you with an industry-recognized course completion certificate which will have a lifelong validity
Online Classroom:
- Attend one complete batch of Data Science with Python training.
- Submit at least one completed project.
Online Self-Learning:
- Complete 85% of the course
- Submit at least one completed project.
