Coursera

Harnessing the Power of Data with Power BI (Coursera)

Offered by Microsoft,

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.

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

After completing this course, you’ll be able to:  
• Describe how data is produced and gathered in businesses and organizations. 
• Outline the role of data in creating data-driven decisions and successful business outcomes. 
• Classify key stages in the data analysis process. 
• Recognize the skills needed by a Power BI analyst and the tools they use. 
• List the tasks performed by a Power BI Data Analyst. 
• Recognize the components of Power BI. 
This course is part of the Microsoft Power BI Data Analyst Professional Certificate.

What you'll learn

How to recognize and use the key data analysis components of Microsoft Power BI.
Understand a Power BI data analyst's skills, tasks, and tools.
Describe the different stages in the data analysis process that result in data-driven decisions.

Syllabus

Data analysis in business
Module 1
This module introduces the learner to the role of a Data Analyst, key data analysis concepts and how data plays an important role in business. The learner is briefly introduced to Power BI as tool for data analysis.

The right tools for the job
Module 2
This module introduces the learner to data collection, data sources, the ETL process and the importance of evaluating data for analysis

Final project and assessment: Harnessing the power of data in Power BI
Module 3
In this module, you will be assessed on the key skills covered in the Course.

Go to Class

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

Related Courses

Coursera

IBM

Python Project for Data Science (Coursera)

Statistics & Data Analysis Data Science

This mini-course is intended to for you to demonstrate foundational Python skills for working with data. The completion of this course involves working on a hands-on project where you will develop a simple dashboard using Python. This course is part of the IBM Data Science Professional Certificate and the IBM Data Analytics Professional Certificate.

Jun 18th 2026

1 Week

Python IPython Data Analysis

Coursera

Rice University

Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera)

Statistics & Data Analysis Data Science

Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. This course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. These are done by easy to understand applications.

Jun 15th 2026

4 Weeks

Hypothesis Data Analysis Microsoft Excel

Coursera

Google

Analyze Data to Answer Questions (Coursera)

Statistics & Data Analysis Data Science

This is the fifth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll explore the “analyze” phase of the data analysis process. You’ll take what you’ve learned to this point and apply it to your analysis to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations on your data to complete business objectives.

Jun 16th 2026

4 Weeks

Data Databases SQL

Coursera

University of Washington

Social Media Data Analytics (Coursera)

Statistics & Data Analysis Data Science

Learner Outcomes: After taking this course, you will be able to: utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr; process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data; analyze unstructured data - primarily textual comments - for sentiments expressed in them; use different tools for collecting, analyzing, and exploring social media data for research and development purposes.

Jun 15th 2026

4 Weeks

Data Analysis Social Media Twitter

Coursera

Johns Hopkins University

Reproducible Research (Coursera)

Statistics & Data Analysis Data Science

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations.

Jun 15th 2026

4 Weeks

Data Analysis Data Science Reproducible Research

Coursera

University of Maryland, College Park

Dealing With Missing Data (Coursera)

Statistics & Data Analysis Data Science

This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®.

Jun 15th 2026

4 Weeks

Data Analysis Data Collection SAS

Coursera

Johns Hopkins University

Statistical Inference (Coursera)

Statistics & Data Analysis Data Science

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference.

Jun 15th 2026

4 Weeks

Statistics Probability Data Analysis

Coursera

Google

Foundations: Data, Data, Everywhere (Coursera)

Statistics & Data Analysis Data Science

This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Jun 16th 2026

5-12 Weeks

Data SQL Spreadsheets

Coursera

University of Illinois at Urbana-Champaign

Digital Marketing Analytics in Practice (Coursera)

Marketing & Communication Business

Successfully marketing brands today requires a well-balanced blend of art and science. This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily. Students will learn to identify the web analytic tool right for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data from the web; and utilize data in decision making for agencies, organizations or clients.

Jun 15th 2026

4 Weeks

Marketing Data Analysis Digital Analytics

Coursera

Wesleyan University

Data Management and Visualisation (Coursera)

Statistics & Data Analysis Data Science

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly.

Jun 15th 2026

4 Weeks

Python Data Management Data Analysis

Coursera

Google

Ask Questions to Make Data-Driven Decisions (Coursera)

Statistics & Data Analysis Data Science

This is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll build on your understanding of the topics that were introduced in the first Google Data Analytics Certificate course. The material will help you learn how to ask effective questions to make data-driven decisions, while connecting with stakeholders’ needs. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Jun 16th 2026

4 Weeks

Spreadsheets Data Analysis Decision Making

Coursera

University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Statistics & Data Analysis Data Science

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies.

Jun 15th 2026

5-12 Weeks

Python Machine Learning Clustering