POWER BI COURSE IN INDIA

• 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)

Defined by Microsoft, Power BI stands as a comprehensive business analytics tool, enabling organizations to share insights, visualize data effectively, and integrate analytics into apps and websites. Its value and versatility stem from its suite of products and services, which are most effective when utilized individually and collectively.

The Power BI suite comprises several essential tools:

• Power BI Desktop: Installed on Windows, this tool facilitates self-service data analysis and report generation.
• Power BI Service: This is a secure, Microsoft-hosted cloud service for viewing dashboards, reports, and Power BI apps.
• Power BI Data Gateway: Necessary for accessing data on an on-premises network.
• Power BI Report Server: A local report server allowing access to reports through browsers, mobile devices, or email.
• Power BI Mobile Apps: Apps for iOS, Android, and Windows 10 mobile devices to interact with data on the go.

Power BI's user base is diverse, extending well beyond data specialists like data scientists or engineers. It's specifically designed to be user-friendly for non-technical users, allowing them to easily create reports, work with data, and conduct thorough data analysis.

Power BI offers the capability to process and handle vast data sets from diverse sources, a task too demanding for tools like Excel. It is an assembly of software solutions, apps, and connectors, all working together to turn a variety of data sources into cohesive, visually appealing, and interactive insights. In essence, Power BI uses organizational data to generate reports and present key insights.

Power BI is built on six core components:

• Power Query: A tool for data transformation and mash-up.
• Power Pivot: Used for in-memory tabular data modeling.
• Power View: A tool dedicated to data visualization.
• Power Map: For 3D spatial data visualization.
• Power Q&A: A natural language question-and-answer engine.
• Power BI Desktop: The companion development tool for Power BI.

As per Microsoft's announcement at the Microsoft Business Application Conference, Power BI is used by 97% of Fortune 500 companies. Notable features of Power BI include:

• Ease of setup.
• Swift insight generation.
• Real-time data processing with natural language queries.
• Quick decision-making capabilities.
• Integration with various news and media platforms like Go Freedom.
• A user-friendly interface.
• Compatibility with numerous external services.
• Excellent data compression.
• Simplified sharing and publishing options.
• Easy integration of detailed R visualizations.

The demand for Microsoft Power BI specialists is currently high. Power BI offers a promising career path for those interested in business intelligence and analytics. It serves as an excellent stepping stone for those aiming to venture into data science, providing foundational skills and knowledge. The field is lucrative, with top companies offering rewarding career opportunities in Power BI.

While Power BI and Tableau are similar in many respects, a common perception is that Power BI tends to be more beginner-friendly. Tableau might present a steeper learning curve for those not already versed in data analytics. Both platforms offer excellent, intuitive user interfaces. Power BI is noted for its quick setup and ability to provide instant insights. It is generally considered more cost-effective and user-friendly compared to Tableau.

Due to its user-friendliness and dynamic visualization capabilities, Power BI is highly regarded in the toolkit of business intelligence tools. It empowers end-users with self-service analytics for creating reports and dashboards. In India, Power BI professionals can find opportunities in roles such as:

• Data Analyst
• Business Analyst
• Business Intelligence Analyst
• Power BI Analyst
• Power BI Developer
• Business Intelligence Developer
• Business Intelligence Manager

The market for Power BI developers is buzzing, and their skills are increasingly sought after to enhance operational efficiencies in businesses. Power BI is utilized by over 18,000 companies globally, securing a significant 5.8% share in the business intelligence market, highlighting its widespread adoption and influence. This growth trajectory underscores the continual demand for Power BI developers. As such, professionals in this field can anticipate a steady rise in both the quality of job opportunities and salary packages with increasing experience. Starting strong in this field paves the way for a prosperous career.