Power BI Data Analyst Prep from Coursera

This foundational course aims to equip you with an understanding of Power BI, exploring its core features and components of its user-friendly interface, and the capabilities it offers.

By the end of the course, you will be able to:

- Explain how to prepare data for analysis by importing and resolving errors using Power BI.

- Examine the process of creating data models using Power BI Desktop models.

- Discover effective data visualizations and compelling reports to communicate your insights.

- Describe the steps to publish reports, design interactive dashboards, and safeguard the data by using the security features in Power BI.

You'll dive into the details of Power BI Desktop models, mastering model fundamentals and frameworks and using that knowledge to build your own data models.

This specialized short course is tailored for individuals interested in pursuing a career as a data analyst and leveraging Power BI. No prior data analytics experience or degree is required to take this course. However, having some working knowledge of data analysis, including preparing, modeling, and visualizing data and deriving actionable insights, and applying domain expertise will be helpful.

What's inside

Syllabus

Prepare data for analysis with Microsoft Power BI

The module begins with an overview of the features and components of Power BI that make it a great tool for data analysis. You'll learn about how Power Query is leveraged for data extraction from diverse sources and make critical decisions about storage modes and connectivity types. Additionally, you'll master profiling and cleansing of data and loading it into Power BI before diving into data modeling. Additionally, you will gain insight into Power BI data models and the selection of data loading approaches. You will also learn how to simplify the process of creating data models, emphasizing techniques such as star schema design. In the section on DAX functions, you will learn to perform advanced calculations in tabular data models. Finally, you’ll learn to recognize the significance of data granularity for performance and usability.

Data visualization in Power BI and workspace management

In this module, you'll explore various visualization types that enable you to implement effective data visualization. Learn the art of designing reports for compelling storytelling and discover techniques to refine your reports. Additionally, you'll dive into data analytics within Power BI, which helps you perform tasks such as identifying outliers, grouping data, and applying time series analysis. Finally, you'll also become proficient in navigating the Power BI service workspace, creating dynamic dashboards, and adding essential security measures to ensure your data is safe.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines essential components of Power BI, empowering learners to create and manage interactive dashboards

Develops critical data analysis skills, from data preparation and modeling to visualization and report building

Tailored for aspiring data analysts and those seeking to enhance their Power BI expertise

Covers industry-standard techniques, including DAX functions and data granularity

Requires prior data analysis knowledge and experience for optimal comprehension

May require additional resources or software to replicate all examples and exercises

Career center

Learners who complete Power BI Data Analyst Prep will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts use their skills to interpret raw data, transform it into a format that's easier to analyze, and then visualize the transformed data to give stakeholders insight into important trends and patterns. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, create effective data visualizations and compelling reports, and publish reports and design interactive dashboards.

See salaries and explore the career path for Data Analyst

Business Analyst

A Business Analyst role is responsible for understanding how a business operates and using that understanding to analyze and improve business processes. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

See salaries and explore the career path for Business Analyst

Data Scientist

Data Scientists are responsible for designing and implementing data analysis pipelines, building predictive models to analyze data, and creating visualizations and reports that communicate findings to stakeholders. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

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Financial Analyst

Financial Analysts use financial data to make investment recommendations, analyze the performance of companies, and develop financial plans. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

See salaries and explore the career path for Financial Analyst

Market Research Analyst

Market Research Analysts conduct research to understand consumer behavior, identify market trends, and develop marketing strategies. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment recommendations. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

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Risk Analyst

Risk Analysts identify and assess risks to a business and develop strategies to mitigate those risks. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

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Statistician

Statisticians collect, analyze, and interpret data to provide insights into a variety of topics. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

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Data Architect

Data Architects design and implement data management solutions that meet the needs of a business. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

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Database Administrator

Database Administrators are responsible for the management and maintenance of databases. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

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Web Developer

Web Developers design, develop, and maintain websites. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

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Computer Programmer

Computer Programmers write and test code that is used to create software applications. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

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Data Visualization Specialist

Data Visualization Specialists create visualizations that communicate data insights to stakeholders. This course may be useful as it focuses on how to prepare data for analysis, create data models using Power BI Desktop models, and create effective data visualizations and compelling reports.

See salaries and explore the career path for Data Visualization Specialist