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.

syllabus

training week 1 :- Data Analytics using Microsoft Power BI

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

training week 2:- Data Analytics using Microsoft Power BI

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

training week 3 :- Data Analytics using Microsoft Power BI

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

training week 4 :- Data Analytics using Microsoft Power BI

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

training week 5 :- Data Analytics using Microsoft Power BI

Resume Building
Technical Mock Interview
LinkedIn
HR Mock Interview
Task Submission

TOPICS TO BE COVERED

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Q1. What is the concept of Data Analytics?

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

Q2. Why is Microsoft Power BI used for Data Analytics?

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.

Q3. What are Data Analytics Key Concept?

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.

Q4. Business-Driven Insights?

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

Q5. Data Analytics vs Data Science?

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.

Data Analytics using Microsoft Power BI

syllabus

TOPICS TO BE COVERED

Download brochure

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STILL CONFUSED ?

TCR INNOVATION

Data Analytics using Microsoft Power BI

syllabus

TOPICS TO BE COVERED

Download brochure

STILL CONFUSED ?

STILL CONFUSED ?

TCR INNOVATION

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