Coursera

Data Connection and Functionalities in Power BI (Coursera)

Offered by Edureka,
Data Connection and Functionalities in Power BI (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

During this course, you will explore the industry-specific applications of Power BI and MS SQL Server. By the end of this course, you will be able to:

  1. Attain expertise in SQL for proficient data administration within SQL Server.
  2. Employ SQL's capacities in orchestrating data to meet the data processing needs of Power BI.
  3. Visualize the data from the SQL server to connect it to Power BI
  4. Strategies for enhancing data retrieval speed aligned with Power BI
  5. Construct DirectQuery connection with Power BI
  6. Implement M-functions for data modeling.

This long course is designed for Data Analyst, Data Engineer, Data Administrator, and Business Analyst seeking to enhance their analytical and design skills.
Prior experience with MS Excel and RDBMS is beneficial but not mandatory for this course.
Join us on this journey to enhance your Power BI and MS SQL Server skills and elevate your analytical and design capabilities.
This course is part of the Mastering Power BI for Data Analytics & Storytelling Specialization.

What you'll learn
Working with MS SQL Server and data connectivity with Power BI to visualize datasets.

Syllabus

Introduction to MS SQL Server
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.

Working with Advanced SQL
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.

Data Connectivity with Power BI
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.

Course Wrap-Up and Assessment
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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Harnessing the Power of Data with Power BI (Coursera) Coursera
Microsoft

Harnessing the Power of Data with Power BI (Coursera)

Statistics & Data Analysis Data Science

This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI. In this course, you’ll learn about the role of a data analyst and the main stages involved in the data analysis process with a focus on applying them using Microsoft Power BI.

Nov 2nd 2026
3 Weeks
Data Analysis Power BI Data-Driven
Details
Healthcare Data Management and Information Systems (Coursera) Coursera
Northeastern University

Healthcare Data Management and Information Systems (Coursera)

Health & Society CS: Information & Technology

This course is the continuation of the Health Informatics for Healthcare Professionals course. If you have not yet taken the introductory course, it is recommend that you complete that course prior to this course. The foundational knowledge from the introduction is carried through in this deeper dive into informatics in healthcare.

Nov 9th 2026
4 Weeks
Data Management Patient Cybersecurity
Details
Privacy Law and Data Protection (Coursera) Coursera
University of Pennsylvania

Privacy Law and Data Protection (Coursera)

Business

What does it take to comply with privacy laws? In this course, we’ll look at the practical aspects of navigating the complex landscape of privacy requirements. Better understanding privacy laws and data protection will enable you to protect your organization and the constituents that depend on your organization to safeguard their personal information.

Nov 2nd 2026
4 Weeks
Security Data Management Risk Management
Details
Making the Case for Robotic Process Automation (Coursera) Coursera
Association of International Certified Professional Accountants - AICPA

Making the Case for Robotic Process Automation (Coursera)

CS: Information & Technology

Robotic Process Automation (RPA) is reshaping the accounting and finance profession. 40% of transactional accounting work is expected to be automated by 2020 and predicted to touch 230 million knowledge workers, 9% of the global workforce, according to McKinsey Research. Driven by the need to stay competitive, decrease costs and increase efficiency, RPA is quickly making a significant impact on the profession. Companies no longer think about "if" but "when" to implement RPA.

Nov 2nd 2026
2 Weeks
Data Management Accounting Information Technology
Details
Introducción a la Minería de Datos (Coursera) Coursera
Pontificia Universidad Católica de Chile

Introducción a la Minería de Datos (Coursera)

CS: Information & Technology

En este curso, aprenderás de manera gradual y práctica los conceptos básicos de Minería de Datos, junto a los algoritmos más utilizados hoy en día. Al finalizar el curso, serás capaz de entender la importancia de manejar la información y de explorar por ti mismo distintas bases de datos reales. Este curso es el primer paso para convertirte en un/a profesional con habilidades básicas de un científico de datos o Data Scientist, de manera tal que puedas abrirle la puerta al futuro.

Nov 2nd 2026
5-12 Weeks
Algorithms Clustering Data Management
Details
Clinical Trials Data Management and Quality Assurance (Coursera) Coursera
Johns Hopkins University

Clinical Trials Data Management and Quality Assurance (Coursera)

Health & Society

In this course, you’ll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices. Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data. You’ll learn how to assemble, clean, and de-identify your datasets.

Nov 2nd 2026
4 Weeks
Data Management Clinical Trials Statistical Analysis
Details
Introduction to the Tidyverse (Coursera) Coursera
Johns Hopkins University

Introduction to the Tidyverse (Coursera)

Statistics & Data Analysis Data Science

This course introduces a powerful set of data science tools known as the Tidyverse. The Tidyverse has revolutionized the way in which data scientists do almost every aspect of their job. We will cover the simple idea of "tidy data" and how this idea serves to organize data for analysis and modeling. We will also cover how non-tidy can be transformed to tidy data, the data science project life cycle, and the ecosystem of Tidyverse R packages that can be used to execute a data science project.

Nov 2nd 2026
4 Weeks
Data Management Data Analysis Data Science
Details
Sales Reporting with HubSpot (Coursera) Coursera
HubSpot Academy

Sales Reporting with HubSpot (Coursera)

Business

In this course, you will use your business data and identify key metrics in order to report on sales with HubSpot’s dashboards. First, you will learn how to operate a data-driven business and how to audit, clean, and organize your data within HubSpot’s CRM. You will then learn to identify the key metrics used to analyze your data on sales and customer service success, within the stages of the Inbound Methodology.

Nov 2nd 2026
4 Weeks
Data Management Sales Data Visualization
Details