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  • 3-Month | 70 Learning Hours
  • 32-Hour Live Online Training
  • Capstone & Client Project
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  • Internship +Job Assistance

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  • Self Learning + Live Mentoring
  • Global Certification
  • 1 Year Access To Elearning
  • Capstone & Client Project
  • Job Assistance
  • 24*7 Learner assistance and support


In - Person Classroom Training


  • Global Certification
  • 3-Month | 70 Learning Hours
  • 32-Hour Classroom Sessions
  • Capstone & Client Project
  • Cloud Lab Access
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Why DataMites Infographic


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



Dresner Advisory Services' study highlights a pivotal trend in the business world: over 60% of businesses now utilize mobile devices to access BI data, emphasizing the critical need for mobile compatibility in BI tools. In a global market characterized by intense competition and established players, Power BI has successfully established a significant presence, adapting well to these evolving business needs.

DataMites is a globally acclaimed data science training institute, offering specialized courses in various domains such as data analytics, machine learning, artificial intelligence, data engineering, python, and MLOps. The institute's Power BI training in Kota is tailored to boost productivity and solve practical business problems, making it ideal for those eager to delve into Power BI tools and craft tailored visual reports.

Endorsed by IABAC, Jain University, and NASSCOM, DataMites' Power BI Courses in Kota extends over three months. It encompasses a comprehensive curriculum divided into three phases: an initial 1.5 months of pre-course study, followed by 1.5 months of intensive live online training, and culminating in a phase dedicated to internships, project mentorship, and career counseling.

Participants in the Power BI Training Courses in Kota will gain practical experience through live projects, client-based work, and internships. DataMites also provides robust placement assistance, aiding students in navigating the business intelligence job market post-completion.

Power BI Courses Training Features:

  1. Detailed exploration of BI technologies in various scenarios.
  2. A structured three-phase learning method.
  3. Instruction from industry-experienced faculty.
  4. Varied learning options, including self-paced, online Power BI training in Kota, and Power BI offline classes in Kota.
  5. Opportunities for hands-on projects and Power BI courses with internships.
  6. Comprehensive job support from the Placement Assistance Team.

Kota, famous for its coaching centers and textile industry in Rajasthan, is progressively adopting technologies like Power BI, enabling educational institutions and businesses to analyze data for improved decision-making. In India, the salary for a Power BI Developer typically varies from ?3.6 Lakhs to ?8.6 Lakhs per year, with the average annual compensation being around ?5.9 Lakhs, as reported by AmbitionBox. For those aiming to broaden their skills in business intelligence and analytics, Power BI training offers a solid foundation.


Power BI refers to Microsoft's cloud-based applications and services that streamline the process of data collection, management, and analysis for businesses. It’s known for its user-friendly data analysis and visualization capabilities, allowing for the creation of innovative reports and analytics.

The integral components of Power BI are Power Query (data manipulation), Power Pivot (tabular data modeling), Power View (data visualization), Power Map (3D spatial visualization), Power Q&A (natural language query engine), and Power BI Desktop (support tool).

In data analysis, Power BI acts as a powerful tool capable of handling and visualizing large-scale data from numerous sources, which is a limitation in Excel. It integrates different software tools and connectors to turn diverse data into engaging, interactive visuals and insights, making it ideal for report creation and displaying organizational insights.

The core tools of Power BI encompass Power BI Desktop for Windows-based data analysis, Power BI Service for accessing dashboards and reports in the cloud, Power BI Data Gateway for connecting to on-premises data, Power BI Report Server for local report access, and Power BI Mobile Apps for engaging with data on mobile devices.

Power BI is extensively used by various professionals, not strictly data scientists or engineers. It’s uniquely designed to assist non-technical staff in effortlessly creating reports, managing data, and conducting detailed data analyses, thereby serving a wide spectrum of users in different industries.

Power BI's adoption by the majority of Fortune 500 companies speaks to its strengths: ease of setup, fast generation of insights, real-time data handling with natural language query support, quick decision-making, user-friendly interface, integration with various external services, excellent data compression, and streamlined communication and publication.

There's a significant demand for Power BI experts in the industry. For individuals seeking a career in business intelligence and analytics, Power BI stands out as a smart choice. It's an effective stepping stone for future data science aspirations, with many leading companies offering attractive career opportunities in Power BI.

Power BI's user-friendly nature and robust visualization in Kota create job openings for Data Analysts, Business Analysts, Business Intelligence Analysts, Power BI Analysts, Power BI Developers, Business Intelligence Developers, and Business Intelligence Managers.

Internationally, Power BI Developers' salaries are: USD 107,250/year in the US, £45,024/year in the UK, INR 5,20,000/year in India, C$99,450/year in Canada, AUD 130,000/year in Australia, AED 124,000/year in UAE, SAR 147,000/year in Saudi Arabia, ZAR 855,000/year in South Africa, 49,000 EUR/year in Germany, and CHF 103,000/year in Switzerland.

As the global intelligence market grows, so does the need for Power BI developers. This trend suggests an expanding market with increasing demand for these skills, paving the way for a successful career in Power BI, marked by improved job opportunities and salary packages.

One of the key differences is that Power BI is generally easier for beginners, whereas Tableau might present more challenges for non-data analysts. Both have intuitive interfaces, but Power BI is recognized for its faster performance and immediate insights. Additionally, it is more affordable and user-friendly than Tableau.

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DataMites™, endorsed by IABAC, excels in Power BI training in Kota with expert mentors actively involved in the industry, a proven record of training 50,000 aspirants, an organized learning system, engaging practical projects, and comprehensive career and internship support.

With DataMites' Flexi-Pass for Power BI training in Kota, learners get a three-month access to attend any required sessions for queries or review.

In Kota, DataMites' Power BI training equips participants with a robust understanding of BI technology, applicable in multiple scenarios. The course intensively covers the critical components of Power BI desktop and mobile apps, fostering practical and theoretical knowledge. It also keeps learners abreast of the latest advancements in business analytics and data visualization.

DataMites' Power BI Course in Kota provides a thorough exploration of BI technology and its diverse applications. It delves deeply into the essential elements of Power BI's desktop and mobile applications, offering learners both conceptual and practical knowledge. The course also updates participants on the latest trends in business analytics and data visualization for strategic planning enhancement.

The Kota Power BI course is well-suited for data analysts, BI and reporting experts, and professionals in any field who handle data. It’s perfect for those seeking proficiency in Power BI tools to craft personalized visual reports.

The Power BI course provided by DataMites is conducted over a three-month period.

Yes, DataMites provides an online training program for Power BI in Kota, ensuring an interactive and comprehensive learning experience, comparable to physical classroom sessions.

DataMites delivers hands-on Power BI training offline in Bangalore, Chennai, Pune, and Hyderabad. Customized classroom training is also possible in Kota, contingent on demand.

The available payment methods for the Power BI course in Kota are Credit Card, MasterCard, Check, PayPal, Visa, American Express, Cash, Net Banking, and Debit Card.

Expect to pay between 15,000 INR and 25,000 INR for Power BI training in Kota.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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