What is the duration of the course?

The Data Analytics with Microsoft Power BI course has 35 hours duration.

Can I change my learning mode from self-paced to instructor-led training programs?

Yes. A professional can change the mode of learning from self-paced to instructor-led training by consulting with their HH buddy.

What is Data Analytics with Microsoft Power BI?

The Data Analytics with Microsoft Power BI course will teach professional Import Data into Power BI, Explore Power BI Desktop, and many more related projects

Are there any weekend batches available?

Yes. There are multiple weekend batches available.

Does Henry Harvin® offer Corporate Training?

We are happy to inform you that Henry Harvin® has exclusive corporate training sessions with experts on board.

Can I take a break from the classes during the course?

Well, there is no such option of taking a break from the classes in an ongoing course. Instead, professionals can change their batch from instructor-led to self-paced training classes

Who are the trainers, and how do they get selected by Henry Harvin®?

All of our highly-qualified trainers are Certified Professional Trainers with more than 15 years of experience in training and working professionally in the field. Each has to appear through a rigorous selection process that includes profile screening, technical evaluation, and live training demonstration before they are certified to train for us. We also ensure that only those trainers who maintain a high alumni rating continue to train for us.

Data Analytics with Microsoft Power BI

Q: Does Henry Harvin® offer Corporate Training?

We are happy to inform you that Henry Harvin&reg; has exclusive corporate training sessions with experts on board.

Module 1: Introduction to Power BI
- Introduction to Business Intelligence
- The Importance of Business Intelligence
- The Relationship between Business Intelligence and Data Warehouse
- Tools and Technologies in the Business Intelligence area
Module 2: Import Data into Power BI
- Power Query
- Power Pivot
- Power View
Module 3: Explore Power BI Desktop
- Microsoft query engine
- Data modeling
- Visualization technologies
Module 4: Building Report in Power BI
- Install Power BI Desktop for Power BI Report Server
- Select a data source
- Select a Report Server
Module 5: Explore Visualization in Power BI
- Area charts: Basic (Layered) and Stacked
- Bar and column charts
- Combo charts
- Doughnut charts
- Funnel charts
- Gauge charts
- KPIs
- Line charts
Module 6: Explore Power Query
- Importing Data
- Cleaning Data
- Reshaping Data
Module 7: Data Modeling in Power BI
- Hierarchical Model
- Relational Model
- Network Model
- Entity-Relationship
Module 8: DAX in Power BI
- Numeric: numeric data types include decimals, currency values, integers, etc.
- Non-numeric: it consists of strings, binary objects, etc.
Module 9: Advanced Power BI Features
- Natural Language Q & A Question Box
- Azure Machine Learning Integration
- Custom Visual Development with R and Python Script
- Easy integration with Microsoft Power Suite {Power App, Power Automate, and Power Query}
- Predictive Analysis
Module 10: Row Level Security in power BI
- DirectQuery
- RLS on datasets
- DAX expression
- Implementing RLS
Module 11: Power BI Service
- Uploaded Excel
- CSV
- Power BI Desktop files.
Module 12: Python Installation and Configuration
- Python installation
- Python Configuration
- Python Script
Module 13: Python Integration with Power BI
- Python scripting
- Python in Power BI
- Python Algorithms
Module 14: Complimentary Module 1: Soft Skills Development
- Business Communication
- Preparation for the Interview
- Presentation Skills
Module 15: Complimentary Module 2: Resume Writing
- Resume Writing