POWER BI COURSE

• 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)

Microsoft Power BI is a collection of tools and services for both individuals and teams that includes business intelligence (BI), reporting, and data visualization. Power BI distinguishes itself by offering faster publishing and distribution options and integrating with other Microsoft services and products.

Large amounts of data can be accessed using Power BI from numerous sources. Large amounts of data that can't be opened in Excel can be seen, analyzed, and visualized with it. Indeed, your disparate data sources may be transformed into cohesive, visually immersive, and interactive insights with the Power BI set of software services, apps, and connectors. Reports and insights based on data from a company are also run using Microsoft Power BI.

Power BI is made up of a number of connected applications, including;

• Power BI Desktop  - Installing Power BI Desktop on a Windows computer allows you to create reports and perform self-service data analysis.

• Power BI Service - Users can see dashboards, reports, and Power BI app services using the secure cloud service Power BI, which is hosted by Microsoft.

• Power BI Data Gateway - Data located on an on-premises network must be accessed using Power BI Gateway, a piece of software.

• Power BI Report Server - Report Server is a report server that is installed on-site. Users can access the reports using a web browser or a mobile device, or they can receive them via email.

• Power BI Mobile Apps - Users of iOS, Android, and Windows 10 mobile devices can connect to and interact with data using Power BI's mobile apps.

Users of Power BI can range from a wide variety of various corporate employees to data experts like data scientists and data engineers. In reality, the platform was purposefully created so that non-technical users could simply create reports, edit data, and carry out in-depth data analysis operations.

There are six main parts to Power BI, which are as follows:

• A tool for data mash-up and manipulation is called Power Query.

• An in-memory tool for modeling tabular data is called Power Pivot.

• Data visualization software called Power View.

• Power Map is a tool for visualizing spatial data in three dimensions.

• A natural language question and answer engine are Power Q&A.

• Power BI Desktop is a companion application development tool.

Although there isn't much of a difference between both, many people believe Power BI to be slightly more user-friendly for beginners than Tableau. Tableau may have a significantly longer learning curve if you're not a data analyst. Nonetheless, both have fantastic UIs and are intuitive. Power BI provides immediate insights and is faster. In comparison to Tableau, it is more cost-effective and user-friendly.

Microsoft reportedly disclosed at the Microsoft Business Application Conference that 97% of Fortune 500 organizations currently utilize Power BI. Let's examine the key characteristics of Power BI;

• Simple to set up

• Fast insights

• Swift judgments

• Real-time information

• Natural language questions

• Content the way you want

• Quick decisions

• View reports on the Go

• Freedom for Integration

• Easy-to-use interface

• Compatible with third-party services

• Excellent data compression capabilities

• Simplified publication and distribution

• Easy integration of thorough R visualizations

Today, reports are that almost every business has a substantial demand for Microsoft Power BI consultants! In the field of business intelligence and analytics, Power BI is a reliable career choice. A position in Power BI or business intelligence is a wonderful stepping stone to gaining experience and developing your skill set if you are thinking about making the switch to data science at a certain point in your career. And the good is that leading firms provide attractive Power BI job opportunities.

Since to its simplicity and dynamic visualization, Power BI comes out on top of the most used tools. Users can produce reports and dashboards using the self-service analytics functionality it provides. Power BI may offer a number of high-demand employment paths, including those in;

• Power BI Analyst

• Business Intelligence Analyst

• Power BI Developer

• Data Analyst

• Business Analyst

• Business Intelligence Developer

• Business Intelligence Manager

The level of employment opportunities and power BI developer compensation packages rise together with your level of experience.

• The national average salary for a Power BI Developer is USD 107,250 per year in the United States. (Talent.com)

• The national average salary for a Power BI Developer is £45,024 per annum in the UK.  (Talent.com)

• The national average salary for a Power BI Developer is INR 5,20,000 per year in India. (Glassdoor)

• The national average salary for a person with Power BI Skills is C$99,450 per year in Canada. (Talent.com)

• The national average salary for a Power BI Developer is AUD 130,000 per year in Australia. (Talent.com)

• The national average salary for a person with skills in Power BI is AED 124,000 per year in UAE. (Payscale)

• The national average salary for a person with skills in Power BI is SAR 147,000 per year in Saudi Arabia. (Payscale.com)

• The national average salary for a Power BI Developer is ZAR 855,000 per year in South Africa. (Talent.com)

• The national average salary for a person with Power BI skills is 49,000 EUR per annum in Germany. (Payscale)

• The national average salary for a person with skills in Power BI is CHF 103,000 per year in Switzerland. (Payscale)

DataMites is a global institute for data science that has received approval from the International Association of Business Analytics Certifications (IABAC).

• The course content is well-developed, and the key mentors are knowledgeable and dedicated to the business.

• There were more than 50,000 candidates training.

• In order to give the greatest instruction possible, the three-phase learning technique was rigorously devised.

• Engage in worthwhile projects and case studies.

• Aid in locating internships and jobs.

The DataMites Power BI course will provide participants with a thorough understanding of this business intelligence tool and how it operates in a variety of contexts. Additionally, the three key elements of the desktop and mobile Power BI apps will be thoroughly covered in order to instill the ideal domain knowledge both theoretically and practically. You may develop your business intelligence skills with the aid of Power BI. Learn about the latest recent advancements in business analytics and data visualization to enhance your strategic planning sessions.

DataMites Power BI course is perfect for people who want to discover how to use the Power BI tools and create customized visual reports. In addition, it is excellent for data analysts, BI and reporting experts, and other professionals working with data across all industries.

The fee for the Power BI course can vary from 181 USD to 302 USD in the US and from 171 Euro to 285 Euro in European Countries. While the Power BI Training Fee can generally vary from 15,000 INR to 25,000 INR in India.

The DataMites Power BI course will last three months.

DataMites' instructors are highly skilled and seasoned business experts in the field of Power BI. They make sure you receive the proper instruction and are taught the current, most effective industry practices.

Surely, DataMites' specialized Placement Assistance Team (PAT) will provide you with placement services when the course is complete, including assistance with job searching and interview preparation.

Absolutely, DataMites gives you the opportunity to learn and master Power BI in the convenience of your home. Our online Power BI courses are exactly as successful as those taken in a classroom and are more interactive.

In the Indian cities of Bangalore, Chennai, Pune, and Hyderabad, DataMites does indeed provide classroom training for Power BI. We are happy to organize a classroom session ON DEMAND for the students in other cities.

With the use of our Flexi-Pass for Power BI training, you will have three months to attend sessions from DataMites® pertaining to any inquiry or revision you wish to pass.