Welcome to the course on Data Connection and Functionalities in Power BI. This course is strategically crafted to empower you with the skills needed to construct a robust database and efficiently manage intricate datasets using MS SQL Server. Throughout this course, you will acquire the expertise to develop well-formatted database that are seamlessly designed to integrate with Power BI.
Data Connection and Functionalities in Power BI
This course is part of Mastering Power BI for Data Analytics & Storytelling Specialization
Instructor: Edureka
Included with
Recommended experience
What you'll learn
Working with MS SQL Server and data connectivity with Power BI to visualize datasets.
Skills you'll gain
Details to know
Add to your LinkedIn profile
24 assignments
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
Welcome to Data Connection and Functionalities in Power BI. In this module, we will understand the capabilities of MS SQL Server. Learn to model data with the help of ER diagrams to get a holistic view of the database that is to be designed in MS SQL Server. Improve data integrity by reducing redundancy while ensuring efficient database management by handling data with the help of SQL commands.
What's included
32 videos7 readings11 assignments1 discussion prompt
In the second week of this course, Learn to use built-in functions in SQL Server to simplify functions that can be used for faster data processing. Harnessing the abilities of T-SQL to interact with and manage relational databases in various ways.
What's included
18 videos6 readings7 assignments1 discussion prompt
In the third week of this course, Apply concepts of data management to prepare a dataset which is suitable for data visualization. Establish a stable connection with Power BI to transfer data from MS SQL Server to Power BI and visualize the data to display hidden insights.
What's included
15 videos8 readings5 assignments
This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in working with Power BI.
What's included
1 video1 reading1 assignment1 discussion prompt
Recommended if you're interested in Data Management
University of Colorado System
Tableau Learning Partner
Why people choose Coursera for their career
New to Data Management? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
The Data Connection and Functionalities Power BI course offers comprehensive insights into the full potential of your data analytics with Power BI connection with MS SQL Server. This course is designed to empower learners with the knowledge and skills needed to seamlessly integrate Power BI with Microsoft SQL Server, enabling efficient data visualization and analysis.
This course caters to a diverse audience, embracing those new to the field as Freshers. Database Administrators will enhance their skills in database management, while BI Developers will gain insights into seamless database integration and visualization. Business Analysts will learn to design and maintain databases for creating paginated reports and dashboards
Prior working experience with MS Excel and RDBMS (Relational Database Management Systems) is advantageous, offering a valuable foundation for this course. However, it is important to note that possessing proficiency in these tools is not obligatory.