Visualization for Data Analysis with Power BI from Coursera

This course provides in-depth knowledge of analytical techniques and effective data visualization using Power BI. By the end of this course, you will be able to:

- Explain different analysis methods (correlation, time series, cluster, etc.) and their appropriate use.

- Analyze data through visualizations in Power BI using different analysis methodologies

- Leverage AI to explore data and gain insights.

Here is a breakdown of what you'll cover: You will begin with statistical analysis fundamentals, master correlation, and exploratory data analysis, and understand business problems. As the course progresses, you will explore advanced topics like cluster analysis, cohort analysis, and geospatial data visualization.

Additionally, you will learn about business intelligence concepts, including building time intelligence functions, conducting time series analysis, and leveraging AI-driven tools like key influencers and decomposition trees.

With a strong emphasis on practical application, the course culminates in a hands-on final project, allowing you to synthesize your skills in a real-world scenario, making data-driven decision-making clear and impactful.

This program is for anyone interested in data analytics and visualization; there are no prerequisites. To get the most out of the learning experience, it is recommended to follow the courses in sequence, as each one builds on the skills and knowledge gained in the previous ones.

Before starting this course, you should be proficient in building data models, maintaining relationships in Power BI, and writing DAX expressions to enhance analysis. You should also understand the ethical implications of handling data. This knowledge will be essential as you learn advanced data analysis techniques and explore data through Power BI's visualizations, supported by AI-driven insights.

What's inside

Syllabus

Statistical analysis fundamentals

This module introduces the foundational concepts of statistical analysis in Power BI. You will explore the importance of understanding business problems and how to conduct correlation and exploratory data analyses. The module covers key techniques like grouping, binning data, and using Power BI visualizations to derive insights. By the end, you will have a solid grasp of basic statistical methods and their applications in business contexts.

Advanced statistical analysis

In this module, you will explore advanced statistical techniques, including cluster, cohort, and geospatial analyses. The focus is on applying these methods in Power BI to uncover patterns, trends, and outliers within data. You will also explore the creation and optimization of complex visualizations, such as scatter charts and maps, enhancing your ability to conduct detailed and insightful analyses for informed decision-making.

Business intelligence through statistical analysis

This module focuses on leveraging statistical analysis for business intelligence, with an emphasis on time intelligence functions, time series analysis, and AI-driven insights. You will explore how to use DAX for summarization and comparison over time, as well as how to apply key influencers and decomposition trees to identify root causes in business scenarios. The module equips you with advanced tools to analyze and forecast business data effectively.

Final project and assessment: Visualization for Data Analysis with Power BI

The final course project synthesizes the skills and knowledge acquired throughout the course. You will apply your expertise to a real-world business scenario, using Power BI to conduct an opportunity analysis. This hands-on project challenges you to demonstrate your ability to integrate various analytical techniques and create impactful data visualizations that drive business insights and decision-making. The module also includes reflection on the course content and guidance on next steps for further learning.

Good to know

Know what's good

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, and possible dealbreakers

Builds on existing knowledge of Power BI data models and DAX expressions, allowing learners to immediately apply advanced analytical techniques and AI-driven insights to their work

Culminates in a hands-on final project, providing learners with the opportunity to synthesize their skills in a real-world scenario and demonstrate their ability to drive business insights

Explores advanced topics like cluster analysis, cohort analysis, and geospatial data visualization, which are essential for uncovering patterns, trends, and outliers within data

Requires proficiency in building data models and writing DAX expressions, so learners without this background may need to acquire these skills before taking the course

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 Visualization for Data Analysis with Power BI with these activities:

Review DAX Expressions

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Reinforce your understanding of DAX expressions, which are crucial for advanced analysis and calculations in Power BI.

Browse courses on DAX

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Review your notes and previous projects involving DAX.
Practice writing DAX measures for common calculations like averages and totals.
Consult the official DAX documentation for syntax and function references.

Read 'Mastering DAX in Power BI'

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Deepen your understanding of DAX, a critical skill for advanced data analysis in Power BI, by studying a comprehensive guide.

View Putting Knowledge to Work on Amazon

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Read the chapters related to time intelligence and advanced calculations.
Try the examples provided in the book within Power BI.
Take notes on key concepts and techniques.

Practice Time Intelligence Functions

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Sharpen your skills in using time intelligence functions in DAX to perform time-based analysis in Power BI.

Browse courses on Time Intelligence

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Create a dataset with date and sales data.
Implement functions like DATEADD, SAMEPERIODLASTYEAR, and TOTALYTD.
Visualize the results using line charts and tables.

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Blog Post: Ethical Considerations in Data Visualization

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Reflect on the ethical implications of data handling and visualization, ensuring responsible and transparent data practices.

Browse courses on Data Ethics

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Research ethical guidelines for data visualization.
Write a blog post discussing potential biases and misinterpretations in visualizations.
Provide examples of how to create ethical and unbiased visualizations.

Analyze Public Health Data

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Apply your skills to analyze a real-world dataset, such as public health data, to identify trends and insights using Power BI.

Browse courses on Data Analysis

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Find a public health dataset from a reliable source.
Import the data into Power BI and create a data model.
Develop visualizations to explore trends in the data.
Write a report summarizing your findings and insights.

Read 'Storytelling with Data'

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Improve your data storytelling skills to effectively communicate insights derived from Power BI visualizations.

View Storytelling with You: Plan, Create, and... on Amazon

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Read the chapters on choosing effective visuals and eliminating clutter.
Apply the principles to improve existing Power BI reports.
Practice presenting data stories to colleagues or peers.

Build a Sales Performance Dashboard

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Create a comprehensive sales performance dashboard in Power BI to track key metrics and identify areas for improvement.

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Gather sales data from various sources.
Design a dashboard layout with key performance indicators (KPIs).
Implement visualizations to track sales trends, customer behavior, and product performance.
Add interactive elements like filters and drill-downs.

Career center

Learners who complete Visualization for Data Analysis with Power BI will develop knowledge and skills that may be useful to these careers:

Business Intelligence Analyst

A Business Intelligence Analyst uses data to uncover business trends, helping organizations make data driven decisions. This role is deeply intertwined with the skills taught in this course, as you will use analysis methods such as correlation, time series, and cluster analysis, to visually communicate the story within data. Further, the course teaches the use of Power BI, a primary tool for a business intelligence analyst. Learning to build time intelligence functions, conduct time series analysis, and leverage AI-driven tools, will help you excel in this role. The final project, which synthesizes the skills taught in the course, will help prepare you for real-world business scenarios.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

A Data Analyst interprets data and transforms it into actionable insights; this course aligns directly with this work by teaching you methods of data analysis and effective data visualization using Power BI. As a Data Analyst you'll use these methods, including correlation, cluster analysis, and time series analysis. Furthermore, the course focuses on using Power BI to explore data and gain insights, a core activity of the role. The course’s emphasis on practical application and a hands-on final project reinforces the ability to synthesize these skills in real-world situations.

See salaries and explore the career path for Data Analyst

Data Visualization Specialist

A Data Visualization Specialist focuses on creating clear visual representations of complex data, and this course provides a thorough grounding in the tool used for this work: Power BI. This course teaches how to conduct various analysis methods, such as correlation, time series, and cluster analysis, and how to leverage AI to explore data and gain insights. The course provides opportunity to learn how to build time intelligence functions, conduct time series analysis, and leverage AI-driven tools, skills that are highly relevant to the work of a Data Visualization Specialist. The hands-on projects will allow you to apply these skills in order to make data driven decision-making clear and impactful.

See salaries and explore the career path for Data Visualization Specialist

Market Research Analyst

A Market Research Analyst studies market conditions to examine potential sales of a product or service, and this course will help you develop the skills to do this effectively. The course teaches you to analyze data through visualizations in Power BI using different analysis methodologies. Market research often requires the use of correlation analysis, which you will master in this course. You will also learn how to use AI to explore data and gain insights, which will be useful for making forecasts. The final project synthesizing the skills taught throughout this course will benefit your ability to synthesize data for real-world issues.

See salaries and explore the career path for Market Research Analyst

Financial Analyst

A Financial Analyst assesses financial data to provide insights and recommendations to a company, and the analytical skills taught in this course are critical to this role. A Financial Analyst must be able to use various analysis methods, including correlation and time series analysis, all of which are covered in this course. Also, the course includes business time intelligence, time series analysis, and AI-driven analytics. These skills allow financial analysts to analyze and forecast business data effectively. The ability to synthesize data, learned through hands-on projects, will enable you to effectively engage in data driven decision-making.

See salaries and explore the career path for Financial Analyst

Operations Analyst

An Operations Analyst analyzes data related to business operations in order to improve efficiency and reduce costs. This course teaches you how to perform methods of data analysis including cluster analysis, cohort analysis, and geospatial analysis, all of which can be useful in operations analysis. Understanding the use of Power BI through this course will also be useful. You will also learn how to build time intelligence functions, conduct time series analysis, and leverage AI-driven tools, all of which are important for understanding operations trends. The final project allows for the synthesis of these techniques to drive business insights.

See salaries and explore the career path for Operations Analyst

Data Science Consultant

A Data Science Consultant helps organizations solve complex problems using data analysis, and this course helps build a foundation in data analysis. This role, which often requires an advanced degree, requires the ability to conduct correlation, time series, and cluster analyses, among others, all of which are practiced in this course. You will learn to analyze data using different methodologies, including AI driven tools within Power BI, which are vital in this position. The final project provides a chance to synthesize all of these learned skills in a real-world scenario.

See salaries and explore the career path for Data Science Consultant

Sales Analyst

A Sales Analyst analyzes sales performance data to identify trends and opportunities to maximize business performance, and this course can help provide you with the ability to do that efficiently. The course teaches the use of data analysis methods and effective data visualization using Power BI. Sales analysts must be able to use visualization tools to explain data, and this course will help you achieve this. Additionally, the course’s focus on building time intelligence functions, conducting time series analysis, and leveraging AI-driven tools, may be useful to forecast trends and inform decision-making.

See salaries and explore the career path for Sales Analyst

Marketing Analyst

A Marketing Analyst uses data to evaluate marketing campaigns and strategies. The skills taught in this course, such as performing correlation, time series, and cluster analyses may be relevant to this role. Also, the course teaches the use of Power BI, which will allow the marketing analyst to effectively display data. The course also allows the learner to explore the use of AI for insights, and understand how to build time intelligence functions, conduct time series analysis, and leverage AI-driven tools. The final project will allow you to synthesize all of these learned skills.

See salaries and explore the career path for Marketing Analyst

Healthcare Data Analyst

A Healthcare Data Analyst works with large healthcare datasets to improve patient outcomes, and this course may be useful for entering this field. In this role, you must be able to analyze data using various methodologies, and this course specifically covers correlation, time series, and cluster analysis. Furthermore, it focuses on how to leverage Power BI. The course also includes learning to build time intelligence functions, conduct time series analysis, and leverage AI-driven tools, which can be helpful in predicting trends. A final hands-on project will help you synthesize these skills.

See salaries and explore the career path for Healthcare Data Analyst

Project Manager

A Project Manager plans, executes, and closes projects to achieve specific goals; the analytical skills taught in this course are applicable to this role. The ability to understand, interpret, and display data are helpful for a project manager. In particular, this course teaches the use of Power BI as a visualization tool, and the application of various analysis methodologies, including correlation, time series, and cluster analysis. The final project, which synthesizes the skills taught in the course, may be useful to plan and execute a project.

See salaries and explore the career path for Project Manager

Research Assistant

A Research Assistant supports research activities, often in an academic setting, and the skills learned through this course may be useful for this. While this course does not teach research methods specifically, it teaches data analysis techniques using Power BI, such as correlation, cluster analysis and time series analysis. You will also learn how to use AI to explore data and gain insights, which may be useful in the research process. This course can help build a foundation of data analysis, which may be beneficial to a Research Assistant.

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Business Consultant

A Business Consultant provides expert advice to organizations to help them improve their performance, and this course may be helpful for this role. This course will help you build a foundation in data analysis, which is helpful for understanding businesses and their needs. You will also learn how to use Power BI to conduct data analysis and create visualizations. In particular, you will learn about statistical analysis, including correlation, time series, and cluster analysis. The emphasis on using data for decision-making may be useful for consulting work.

See salaries and explore the career path for Business Consultant

Technical Writer

A Technical Writer produces documentation to help others understand software or other technical products; this course may be useful for adding a specialized background to your technical writing skillset. This course teaches data analysis and visualization using PowerBI, and learning the technical aspects of this field may assist your technical writing. Understanding the data analysis process will allow you to effectively communicate about it within your writing. The methods of analysis taught by the course, which include correlation, time series, and cluster analysis, may be useful in describing different kinds of insights from data.

See salaries and explore the career path for Technical Writer

Teacher

A Teacher educates students on various subjects, sometimes including technical topics. This course may be helpful in providing a foundation for teaching technical skills. This course teaches data analysis and visualization using Power BI, which may be helpful if you teach this subject or related fields. The course includes concepts such as statistical analysis, including correlation, time series, and cluster analysis. Learning about these concepts may help in explaining them to students. Though the course does not directly teach pedagogy, it does provide a foundation for those who wish to teach about data and data visualization.

See salaries and explore the career path for Teacher

Visualization for Data Analysis with Power BI

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