DATA ENGINEERING, MERN STACK, FRONTEND WEB DEVELOPMENT INTERNSHIP PROGRAM MARCH 2023

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Data Analytics using Microsoft Power BI



Our Online Data Analytics Using Microsoft Power BI Program contains the perfect mix of theory, case studies, and extensive hands-on assignments to even turn a beginner into a pro by the end. Our Power BI Internship Program is perfect for students and working professionals to get mentored directly by industry experts, build your practical knowledge, receive complete career coaching, and be certified Analyst. 


Get all the knowledge and skills to dive deep into the Data to discover and unlock data insights, we will provide all the means to unlock your potential and also make you eligible for Certification from Microsoft: Power BI Data Analyst Associate.

ENROLL NOW

syllabus

  •  Power BI  1
  •  Different Products of Power BI 
  •  Python Projects Assignments
  •  Power Query - Introduction 
  •  Import data into Power Query 
  • Assignments 


  •  Fundamentals of M Language  Part 1
  •  Fundamentals of M Language  Part 2
  •  Calculating ratio inside Power Query 
  •  Projects 
  • Assignments  


  •  Power View in Power BI 
  •  Power BI Desktop Tool 
  •  Visualizations and PBI Canvas 
  •  PBIX and PBIT File Formats 
  •  Visual Interactions in Power BI 
  •  Power View- Hierarchies 
  •  Assignment
  •  Quiz 


  •  Internship Project 1 - 2 
  • Internship Project 3 - 4
  •  Report Writing 
  • GitHub
  •  Technical Interview Questions
  •  Quiz 2
  •  Assignment
  •  Quiz 3 


  •  Resume Building
  •  Technical Mock Interview
  •  LinkedIn
  •  HR Mock Interview
  •  Task Submission 


TOPICS TO BE COVERED

 DOWNLOAD THE FULL BROCHURE BELOW

Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.  


Power BI is a suite of Business Intelligence(BI), reporting, and data visualization products and services for individuals and teams. Power BI stands out with streamlined publication and distribution capabilities, as well as integration with other products and services.


 

  • Descriptive analytics tell us what happened.
  • Diagnostic analytics tell us why something happened.
  • Predictive analytics tell us what will likely happen in the future.
  • Prescriptive analytics tell us how to act.


In a constantly changing business environment, it may be hard to predict your next move. That’s where data analytics comes in. By quickly accessing data across teams and the enterprise, you can drive better decisions by getting deeper insights about:

  • Who your customers are and how to reach them
  • The market, including competitors
  • What has happened in the past
  • What’s happening now
  • What the future holds for your business


Data Analytics and Data Science are closely related. Data analytics is a component of data science, used to understand what an organization’s data looks like. Generally, the output of data analytics is reports and visualizations. Data science takes the output of analytics to study and solve problems. 


Download brochure

Data Analytics Using Microsoft Power BI (pdf)Download

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