POWER BI COURSE IN INDORE

• What is PowerBI?
• Download and Install Power BI Desktop
• Quick Interface Tour
• Mini Project: Transform Data
• Mini Project: Visualize Data
• Mini Project: Creating a Data Model

• Exploring Query Editor
• Connecting to our DataSource
• Editing Rows
• Changing DataTypes
• Replacing values
• Close and Apply
• Connecting to a CSV File
• Connecting to a Webpage
• Extracting Characters
• Splitting and Merging Columns
• Creating Conditional Columns
• Creating Columns from Examples
• Merging Queries
• Pivoting and Unpivoting
• Appending Queries
• Practice and Solution:Population Table
• The Fact-Dimension-Model
• Practice:Load the Dimension Table
• Organizing Our Querires in Groups
• Entering Data Manually
• Creating an Index Column
• Workflow and More Transformation
• Module Summary
• Practice Assignment 1

• Advanced Editor-Best Practices
• Performance: References Versus Duplicating
• Performance: Enable/Disable Load and Report Refresh
• Group By
• Mathematical Operations
• Run Python Script
• Using Parameters to Dynamically Transform Data
• M Formula Language:Basics
• M Formula Language:Values, Lists, and Tables
• M Formula Language: Functions

• Why a Data Model?
• Create and Edit Relationships
• One-to-Many and One-to_One Relationship
• Many-to-Many(m:n) Relationship
• Cross-Filter Direction
• Activate and Deactivate Relationships
• Practice Assignment 2

• Our First Visual
• The Format Tab
• Understanding Tables
• Conditional Formatting
• The Pie Chart
• All about the filter Visual
• The Filter Pane for Developers
• Cross Filtering and Edit Interactions
• Practice Assignment 3
• Synching Slicers across Pages
• Creating Drilldowns
• Creating Drill-Throughs
• The Treemap Visual
• The Decomposition Tree
• Understanding the Matrix Visual
• Editing Pages
• Buttons and Actions
• Bookmarks to Customize Your Report
• Analytics and Forecasts with Line Charts
• Working with Custom Visuals
• Get Data Using Python Script

• Python in Power BI
• Setting Up Python for Power BI
• Transforming Data Using Python
• Creating Visualizations Using Python
• Violin Plots, Pair Plots and Ridge Plots Using Python
• Machine Learning (BayesTextAnalyzer) Using Python

• Introduction
• The Project Data
• Measures Versus Calculated Columns
• Automatically Creating a Data Table in DAX
• Calender
• Creating a Complete Data Table with Features
• Creating a Key Measure Table
• Aggregation Functions
• The Different Versions of COUNT
• SUMX- Row-Based Calculations

• CALCULATE- The Basics
• Changing the Context with FILTER
• ALL
• ALLSELECT
• ALLEXCEPT

• Introduction - Best Practices
• Show Emphaty and Identify the Requirements
• Find the Most Suitable KPIs
• Choose and Effective Visual
• Make Use of Natural Reading Patters
• Tell a Story Using Visual Cues
• Avoid Chaos and Group Information

• JSON and REST API
• Setting UP a Local MYSQL Database
• Connecting to a MYSQL Databased in Power BI
• Connecting to a SQL Database (PostgreSQL)

Power BI is known as a business intelligence tool that is primarily used by business analysts and other professionals. Power BI is a Microsoft platform that uses data visualization for maintaining business procedures. Power BI is capable of a wide range of various styles that includes maps, charts, scatter plots and more.

The key skills needed by Power BI are:

• Data Analysis

• Project Management

• Data Modeling

• Data Science 

• Data Visualization

• Communication

• Analytics

he relevant tools needed by Power BI developers are:

• Embedded System

• PowerPoint

• Microsoft Analysis Services

• Data Integration

• Power Query

The key components of Power BI are-

• Power Pivot

• Data Set

• Dataset

• Dashboard

• Microsoft Analysis Services

• Gateway

There are various job designations offered by Power BI in Indore such as:

• Data Analyst

• Power BI Developer

• Business Analyst

• Power BI Analyst

• Business Intelligence Manager

• Business Intelligence Developer

• Business Intelligence Analyst

According to the Ambition Box report, the average salary of a Power BI professional in Indore reaches up to Rs 4.3 to Rs 6.3 per year.

Power BI is used by various industrial sectors that involve data analysts and BI professionals to improve decision-making processes that will lead to business profitability.

In today's business world, many industries are hiring Power BI professionals in Indore are    

• Accenture

• Impetus

• Infosys

• Appen

• Accolite Digital

• Tech Mahindra

There few interesting key features of Power BI needed by giant industries are:

• Re-use datasets across different reports and dashboardsExtracting insights from large datasets

• Creating beautiful maps with the help of data 

• Timely product update

• Creating custom visualizations with Python and R

• Power integration with Microsoft Products

The future of Power BI is going to be accelerating in business sectors because the use of cloud-based tools is going to be a vital tool used purposefully in future. In today’s business world, Power BI has become a significant tool which is making remarkable decision-making to change the industrial world. Power BI is a product of Microsoft and its product are ruling the market sector across the globe.