If you’re a computer science student looking for opportunities, then you have full-stack development, front-end
development, data scientists, AI engineers, data analysts, information security analysts as career options, right?
But apart from this, you can also aspire to become a Power BI developer too.
Power BI tops the list of popular tools due to its ease and interactive visualization. It offers self-service analytics
capability to let end-users create reports and dashboards. The possible career opportunities of the Power BI that
are high in demand are, Power BI developers, Power BI consultants, and Power BI analysts.

Module 1: Get Started with Microsoft Data Analytics

Module 2: Prepare Data in Power BI

Module 3: Clean, Transform, and Load Data in Power BI

Module 4: Design a Data Model in Power BI

Module 5: Create Model Calculations using DAX in Power BI

Module 6: Optimize Model Performance

Module 7: Create Reports

Module 8: Create Dashboards

Module 9: Create Paginated Reports in Power BI

Module 10: Create and Manage Workspaces

Module 11: Row-level security

To Download Track Details, Click Here.

Power BI usage has been growing quickly, with over 80,000 open jobs on LinkedIn. Most business analysts and data analysts use Power BI regularly. By learning Power BI, you can accelerate your career and become a data professional.

هذه الدورة مقدمة من :

Microsoft

Power BI Report development

Building Analysis Services reporting models

Developing visual reports, KPI scorecards, and dashboards using Power BI desktop

Connecting data sources, importing data, and transforming data for Business intelligence

Analytical thinking for translating data into informative reports and visuals

Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI

Should have an edge over making DAX queries in Power BI desktop

Expert in using advanced-level calculations on the data set

Responsible for design methodology and project documentaries

Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards

Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams

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