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Analyzing Data with Microsoft Power BI (MS-20778) (Flex)

This course focuses on the core concepts of Data Visualizations, Power BI Services, Power BI Mobile and Desktop Applications, and Business Intelligence Solutions.

Virtual

Learning Style

Microsoft

Provider

Intermediate

Difficulty

12 Days (2 hrs/day)

Course Duration

Course Info

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This course focuses on the core concepts of Data Visualizations, Power BI Services, Power BI Mobile and Desktop Applications, and Business Intelligence Solutions.

Course Information

Candidates enrolling directly in this course without the Master Subscription Plan will receive a free official exam voucher for the 70-778 Exam (Except Purchases included in Training Vouchers/SATV). There is no free official exam voucher for candidates enrolling using the Master Subscription Plan. However, the official exam voucher can be purchased separately on request

About this Course:

This Data Science Training Program is specifically designed for professionals striving to pursue a professional career as a Business Intelligence Analyst. Professionals will get to learn the core features and functionalities of Power BI and will learn to utilize these functionalities to conduct better and more efficient data analysis. This course focuses on the core concepts of Data Visualizations, Power BI Services, Power BI Mobile and Desktop Applications, and Business Intelligence Solutions. On average, a Business Intelligence Analyst having strong command in Power BI earns $60,297 annually.

Course Objectives:

The core objective of this course is to help professionals develop a better understanding and gain a sound knowledge of the following key concepts:

  • Fundamentals of Self-Service Business Intelligence Solutions
  • Power BI Data Collaboration Essentials
  • Desktop Data Transformation and Power BI Service Implementation
  • Desktop Modeling and Desktop Visualization in Power BI
  • Connecting to Data Stores and Excel Data
  • Interactive Data Visualization Essentials and Fundamentals
  • Understanding Power BI Mobile Application Core Features and Functionalities
  • Getting to Know Developer API in Power BI

Audience:

This course is specifically tailored for SQL Server Report Creators and Professionals interested in learning unique methods of data presentation.

Prerequisites:

Professionals planning to enroll in the Analyzing Data with Microsoft Power BI (MS-20778) (FLEX) Course must comply with the following prerequisites:

  • Working Knowledge of Microsoft Excel and Office Applications
  • Knowledge of Essential Business Priorities (Profitability, Revenue, & Accounting)
  • Conceptual Understanding of Reporting and Relational Databases
  • Basic Understanding of Data Warehouse Schemas such as Snowflake & Star Schema
  • Familiarity with Programming Constructs such as Branching & Looping
  • Developing SQL Databases (MS-20762) Certification is highly Recommended
  • Microsoft Excel 2013 Introduction Level 1 Certification is Recommended
  • Provisioning SQL Databases (MS-20765) Certification is highly Recommended

Outline

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Brand Microsoft
Subjects IT Ops & Management
Lab Access No
Technology Microsoft
Learning Style Virtual Classroom
Learning Type Course
Difficulty Intermediate
Course Duration 12 Days (2 hrs/day)
Language English

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Course Expert:

Author

Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

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