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“Visualuze Success – Unlock Power Bi Skills at CMIT”

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Microsoft Power Bl is a data visua lization platform used primarily for business intelligence purposes. Designed to be used by business professionals with varying levels of data knowledge, Power Bi’s dashboard is capable of reporting and visualizing data in a wide range of different styles, including gra phs, maps, charts, scatter plots, and more.

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Why Learn Power BI ?

Power BI enables you to turn raw data into visually compelling and interactive reports. This skill is highly sought after as it helps in conveying insights effectively to stakeholders.

Understanding Power BI gives you a strong foundation in business intelligence tools. This expertise is invaluable in today's data-driven business landscape.

Proficiency in Power BI is in high demand across industries. It can significantly boost your employability and open up career opportunities in fields like data analysis, business intelligence, and consulting.

Power BI allows you to automate repetitive tasks involved in data preparation and reporting, saving time and increasing efficiency.

Power BI Level Wise Content

  • Understanding the Power BI interface, including the Power BI Desktop and online service.
  • Navigating through different sections: data, relationships, reports, and dashboards.
  • Importing data from various sources like Excel, databases, web services, etc.
  • Basic data cleaning techniques using Power Query Editor.
  • Creating relationships between tables for data modeling.
  • Simple calculations using DAX (Data Analysis Expressions).
  • Implementing complex relationships (many-to-many, bidirectional) in data models.
  • Working with calculated tables and columns.
  • Optimizing data models for performance.
  • Designing more advanced and interactive reports using various visualization types.
  • Implementing slicers, filters, and drill-through functionalities.
  • Understanding best practices for effective visualizations.
  • Mastering more advanced DAX functions for complex calculations and measures.
  • Time intelligence functions for analyzing data over time periods.
  • Implementing context manipulation in DAX.
  • Publishing reports and dashboards to the Power BI service.
  • Configuring scheduled data refresh and managing permissions and security.
  • Collaborating with colleagues through workspaces and sharing features.
  • Implementing custom visuals and integrating them into reports.
  • Optimizing report performance for faster loading and responsiveness.
  • Understanding the usage metrics and performance monitoring tools available in Power BI.
  • Integrating Power BI reports into custom applications using Power BI Embedded.
  • Utilizing Power BI APIs for automation and custom integrations.
  • Implementing advanced data security and governance measures.
  • Utilizing row-level security and dynamic security in Power BI.

Who Should Learn Power BI ?

Students
Jobseekers
B Sc. IT, BCA, B COM, BE,
B TECH..
Working
Professionals
MCA, M SC IT, M.TECH, M Com,
MBA IT
& others
Tech Start Up Owners, EdTech Owners, Software Companies lead team
Job Seekers looking for Career in Data Analysis/ Data Science Sectors where Data is critical

Future of Power BI

  • Power BI is part of the larger Microsoft ecosystem. Its integration with other Microsoft tools like Azure, Excel, Teams, and Dynamics 365 is expected to deepen further, offering seamless data sharing and collaboration.
  • Microsoft continues to enhance collaboration features within Power BI, enabling teams to work together more effectively, share insights, and collaborate on reports and dashboards in real time.
  • Power BI is likely to integrate more AI and machine learning capabilities for automated insights, smarter analytics, and predictive capabilities within reports.
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  • Microsoft is expected to introduce more advanced data analysis tools and features, empowering users to derive deeper insights from complex datasets with simpler tools.
  • Microsoft regularly updates Power BI with new features and improvements. This trend is likely to continue, with a focus on user feedback and industry trends.
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FAQ"S

Average salary for a Senior Power BI Developer in India is 10.7 Lakhs per year (₹89.3k per month). Salary estimates are based on 401 latest salaries received from various Senior Power BI Developers across industries.

Average starting Salary for Senior Power BI Developer in India is around ₹5.5 Lakhs per year (₹45.8k per month). 3 years of minimum experience is required to be a Senior Power BI Developer.

Highest salary that a Senior Power BI Developer can earn is ₹20.0 Lakhs per year (₹1.7L per month).

An Entry Level Senior Power BI Developer with less than three years of experience earns an average salary of ₹8.5 Lakhs per year. A mid-career Senior Power BI Developer with 4-9 years of experience earns an average salary of ₹11.0 Lakhs per year, while an experienced Senior Power BI Developer with 10-20 years of experience earns an average salary of ₹17.7 Lakhs per year.

These are the top skills of a Senior Power BI Developer based on 111 jobs posted by employers.

  • Power Bi
  • SQL
  • Business Intelligence
  • Data Modeling
  • Data Visualization

Average Salary of Power Bi

Job ProfileAverage Salary (in LPA)
Power BI₹ 5.8 Lakhs LPA

Affiliations / Authorizations

Why Choose CMIT ?

Certified and Experienced Trainers

Weekdays / Weekend Batches Available

Affordable Fees

Small Batch Sizes

Weekly Test Series

Certificate on Course Completion

Free Wi-Fi Facility

Personalized Attention

100% Job Assistance across India for lifetime