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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.

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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.

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 is also a great way to prepare for the Microsoft PL-300 exam. By passing the PL-300 exam, you’ll earn the Microsoft Power BI Data Analyst certification.

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What's inside

Syllabus

Data analysis in business
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.
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The right tools for the job
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
In this module, you will be assessed on the key skills covered in the Course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by industry leader Microsoft, who have years of experience in the field
Provides a solid introduction to the role of a data analyst and the data analysis process
Covers important topics such as data collection, data sources, and data evaluation
Prepares learners for the Microsoft PL-300 exam, leading to the Microsoft Power BI Data Analyst certification
Provides hands-on experience through a final project and assessment
Requires learners to come in with some prior knowledge of data analysis concepts

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Harnessing the Power of Data with Power BI with these activities:
Review Data Analysis Fundamentals
Review basic data analysis concepts, including data collection, cleaning, and analysis techniques, to strengthen your foundation for the course.
Show steps
  • Read articles or watch videos on introductory data analysis concepts.
  • Complete online tutorials or exercises on basic data analysis techniques.
  • Review your notes or textbooks from previous data analysis courses or workshops.
Join a Data Analysis Study Group
Connect with other learners and engage in discussions to exchange knowledge, clarify concepts, and improve comprehension.
Show steps
  • Join an online or in-person study group dedicated to data analysis.
  • Participate in regular discussions and group activities.
Write a Blog Post on Data Analysis Best Practices
Solidify your understanding of data analysis principles by writing a blog post that shares best practices and techniques with a broader audience.
Browse courses on Data Analysis Techniques
Show steps
  • Research best practices for data analysis.
  • Identify relevant techniques and examples.
  • Draft and write your blog post.
Show all three activities

Career center

Learners who complete Harnessing the Power of Data with Power BI will develop knowledge and skills that may be useful to these careers:
Data Analyst
Companies are data-rich, which makes a Data Analyst a great pick for anybody looking for a lucrative, entry-level role in the business sector. As a Data Analyst, you will collect, clean, organize, and analyze data. Then you will present the data in a way that your company can use to improve business outcomes. This course is an optimal choice for anybody seeking to enter this field because it goes through the role of data in a business setting and teaches how to prepare data for analysis with Microsoft Power BI. While this course may not cover the full range of tasks you will need to be successful as a Data Analyst, it will give you a head start in the field and make you a more competitive job applicant.
Business Intelligence Analyst
Business Intelligence Analysts help companies make data-driven decisions. These professionals play a role similar to Data Analysts, but their focus is more on interpreting data and communicating insights to leadership. If you want to use data to solve business problems and make a real impact on your organization, becoming a Business Intelligence Analyst may be a great career choice. This course can help you get there by teaching you the basics of data analysis and how to use Microsoft Power BI to present data in a compelling way.
Data Scientist
Data Scientists are responsible for developing and implementing data-driven solutions. Data Science is a newer field, but it has quickly become one of the most in-demand professions in the tech industry. If you are interested in a career that combines your passion for programming with your interest in data analysis, becoming a Data Scientist may be the right path for you. This course is a great starting point for anybody looking to get into Data Science. It will teach you the basics of data analysis and how to use Microsoft Power BI to visualize and interpret data.
Market Research Analyst
Market Research Analysts assist organizations in understanding their target market. They collect, analyze, and interpret data to help companies make informed decisions about their products, services, and marketing campaigns. If you are interested in a career that combines your interest in data analysis with your passion for marketing, becoming a Market Research Analyst may be a great choice for you. This course can help you get started in the field by providing you with the basics of data analysis and how to use Microsoft Power BI to present data in a compelling way.
Financial Analyst
Financial Analysts use data analysis to make investment recommendations. They work with companies, individuals, and institutions to help them make sound financial decisions. If you are interested in a career in finance and you enjoy working with data, becoming a Financial Analyst may be the right path for you. This course can help you get started in the field by providing you with the basics of data analysis and how to use Microsoft Power BI to present data in a compelling way.
Operations Research Analyst
Operations Research Analysts use data analysis to improve the efficiency of organizations. They work with businesses and governments to help them solve problems and make better decisions. If you are interested in a career that combines your interest in data analysis with your passion for problem-solving, becoming an Operations Research Analyst may be a great choice for you. This course can help you get started in the field by providing you with the basics of data analysis and how to use Microsoft Power BI to present data in a compelling way.
Actuary
Actuaries use data analysis to assess risk and uncertainty. They work with insurance companies, pension funds, and other financial institutions to help them make informed decisions about their products and services. If you are interested in a career that combines your interest in data analysis with your passion for mathematics, becoming an Actuary may be the right path for you. This course can help you get started in the field by providing you with the basics of data analysis and how to use Microsoft Power BI to present data in a compelling way.
Statistician
Statisticians use data analysis to collect, analyze, and interpret data. They work with a variety of organizations, including businesses, governments, and research institutions. If you are interested in a career that combines your interest in data analysis with your passion for mathematics, becoming a Statistician may be the right path for you. This course can help you get started in the field by providing you with the basics of data analysis and how to use Microsoft Power BI to present data in a compelling way.
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. They work with data analysts and other IT professionals to ensure that data is available and accessible to those who need it. If you are interested in a career that combines your interest in data analysis with your passion for technology, becoming a Data Engineer may be the right path for you. This course can help you get started in the field by providing you with the basics of data analysis and how to use Microsoft Power BI to present data in a compelling way.
Database Administrator
Database Administrators manage and maintain databases. They work with IT professionals to ensure that databases are running smoothly and that data is secure. If you are interested in a career that combines your interest in data analysis with your passion for technology, becoming a Database Administrator may be the right path for you. This course can help you get started in the field by providing you with the basics of data analysis and how to use Microsoft Power BI to present data in a compelling way.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of technologies, including data analysis tools. If you are interested in a career that combines your interest in data analysis with your passion for technology, becoming a Software Engineer may be the right path for you. This course can help you get started in the field by providing you with the basics of data analysis and how to use Microsoft Power BI to present data in a compelling way.
Data Architect
Data Architects design and manage data systems. They work with organizations to help them understand their data needs and develop data solutions that meet those needs. If you are interested in a career that combines your interest in data analysis with your passion for technology, becoming a Data Architect may be the right path for you. This course can help you prepare for this role by teaching you how to use Microsoft Power BI to design and implement data solutions.
Business Analyst
Business Analysts help organizations improve their business processes. They use data analysis to identify problems and develop solutions that can improve efficiency and profitability. If you are interested in a career that combines your interest in data analysis with your passion for business, becoming a Business Analyst may be the right path for you. This course can help you get started in the field by providing you with the basics of data analysis and how to use Microsoft Power BI to present data in a compelling way.
Project Manager
Project Managers plan, organize, and execute projects. They work with a variety of stakeholders to ensure that projects are completed on time, within budget, and to the required quality standards. If you are interested in a career that combines your interest in data analysis with your passion for leadership, becoming a Project Manager may be the right path for you. This course can help you prepare for this role by teaching you how to use Microsoft Power BI to track project progress and identify potential risks.
Consultant
Consultants provide advice and guidance to organizations on a variety of topics, including data analysis. If you are interested in a career that combines your interest in data analysis with your passion for helping others, becoming a Consultant may be the right path for you. This course can help you prepare for this role by providing you with the basics of data analysis and how to use Microsoft Power BI to present data in a compelling way.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Harnessing the Power of Data with Power BI.
Provides a comprehensive overview of statistical learning, which key foundation for data analysis. It great resource for anyone who wants to learn more about statistical learning or who wants to apply statistical learning to their own projects.
Provides a step-by-step guide to using Power BI. It great resource for beginners who want to learn how to use Power BI to analyze data.
Provides a comprehensive overview of deep learning, which key technique in data analysis. It great resource for anyone who wants to learn more about deep learning or who wants to apply deep learning to their own projects.
Provides a practical introduction to data visualization, which key skill in data analysis. It great resource for beginners who want to learn how to visualize data or for those who want to improve their data visualization skills.
Provides a practical introduction to deep learning for coders. It great resource for anyone who wants to learn how to use deep learning to solve real-world problems.
Provides a comprehensive overview of predictive analytics, which key technique in data analysis. It great resource for anyone who wants to learn more about predictive analytics or who wants to apply predictive analytics to their own projects.
Provides a comprehensive overview of data mining, which key technique in data analysis. It great resource for anyone who wants to learn more about data mining or who wants to improve their data mining skills.
Provides a comprehensive overview of the data analytics process, from data collection to data visualization. It great resource for beginners who want to learn more about data analytics or for those who want to brush up on their skills.
Provides a comprehensive overview of dimensional modeling, which key concept in data warehousing. It great resource for anyone who wants to learn more about data warehousing or who wants to improve their dimensional modeling skills.
Provides a gentle introduction to machine learning, which key technique in data analysis. It great resource for beginners who want to learn more about machine learning or who want to apply machine learning to their own projects.

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