Data Analysis and Visualization from Coursera

By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story.

Material features online lectures, videos, demos, project work, readings and discussions. This course is ideal for individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company’s bottom line. It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. It is the second course in the Data-Driven Decision Making (DDDM) specialization. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11.

What's inside

Syllabus

Data Analysis Software Tools

This module provides an overview of the tools needed for data analysis.

Statistical Process Control (SPC)

This module covers SPC, a way to analyze variation over time in your process using data. It is helpful in identifying current problems and can also be used to monitor the process for any deviations once the process is ‘in control'.

Data Visualization and Translation

This module provides tools for leveraging data through visualization and translation.

Project: Data Analysis and Visualization

This module provides an opportunity to bridge theory and practice. Learners apply knowledge from this course to solve a business problem.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers data analysis tools (R software, Minitab, MATLAB, and Python), useful for extracting valuable insights

Provides a good overview of statistical process control (SPC), helpful for identifying problems and monitoring process stability

Explores visualization tools (Tableau, Excel, Power BI), enabling effective data storytelling and communication

Emphasizes developing a data-driven mindset, essential for making informed decisions

Suitable for individuals seeking to improve their ability in data analysis and visualization for informed decision-making

Ideal for learners with some familiarity with reading reports, handling data, and interpreting visualizations

Reviews summary

Insightful data analysis & visualization

Learners say this data analysis and visualization course gives a broad vision and excellent techniques for analyzing and visualizing data. Great reading material is attached to each topic. However, some learners find assignments to be either difficult or unclear.

Includes great reading material with each topic.

"Great reading material attached with each topic"

Some learners find assignments difficult or unclear.

"Examples and better instructions on the assignment would improve this course."

"It was very good. just the last project was a bit confusing and not so clear."

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 Data Analysis and Visualization with these activities:

Read Introductory Statistics for Business and Economics

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Enhance your understanding of statistical concepts by reviewing key principles from this foundational text.

View Melania on Amazon

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Read assigned chapters to reinforce statistical concepts.
Complete practice problems and exercises.
Summarize key findings in your own words.

Review basic statistics concepts

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Refresh understanding of foundational statistical concepts to build a stronger foundation for the course content.

Browse courses on Statistical Process Control (SPC)

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Review notes from previous coursework or textbooks on statistics
Complete practice problems to test understanding of concepts

Review elements of statistical process control (SPC)

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Review and refresh your understanding of statistical process control before beginning this course to strengthen your foundation.

Browse courses on Statistical Process Control

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Examine materials from previous classes on statistical process control.
Read online resources about SPC fundamentals.
Complete practice problems to test your understanding.

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Explore Tableau tutorials for data visualization

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Develop proficiency in Tableau by following guided tutorials to enhance your data visualization skills.

Browse courses on Data Visualization

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Identify relevant Tableau tutorials aligned with the course content.
Follow the tutorials step-by-step to create interactive visualizations.
Practice creating visualizations based on sample datasets.

Develop a visual representation of key course concepts

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Solidify your understanding by creating visual aids that illustrate the key concepts covered in the course.

Browse courses on Data Analysis

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Identify the core concepts you want to visualize.
Choose appropriate visualization techniques (e.g., charts, graphs).
Design and create the visuals using software or tools.
Present your visualizations and explain their significance.

Solve data analysis and visualization practice problems

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Sharpen your problem-solving abilities by working through data analysis and visualization exercises.

Browse courses on Data Analysis

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Identify online resources or textbooks with practice problems.
Allocate time each week to solve a set of problems.
Review your solutions and identify areas for improvement.

Form study groups to discuss and analyze data

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Collaborate with peers to reinforce your understanding and develop critical thinking skills.

Browse courses on Collaboration

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Form study groups with classmates who complement your skills.
Meet regularly to discuss assigned readings and work on projects.
Engage in peer feedback and constructive criticism.

Develop a plan to implement data-driven decision-making in your workplace

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Apply your knowledge to a real-world scenario by creating a plan that integrates data analysis into your workplace.

Browse courses on Data-Driven Decision-Making

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Identify areas in your workplace where data analysis can be leveraged.
Develop a strategy to collect, analyze, and interpret data.
Create a plan to use data insights to make informed decisions.
Present your plan to stakeholders for feedback and buy-in.

Career center

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

Data Analyst

The Data Analyst role is an information technology professional who converts raw data into insights and actionable information. Data Analysts, in short, organize data to increase efficiency. Given their heavy reliance on extracting key insights from data, it is paramount that they have a strong understanding of data analysis software tools, which this course provides an extensive overview of. This course may also be helpful for Data Analysts who work with statistical process control, or want to expand their horizons to excel in data presentation.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their knowledge of mathematics, statistics, computer science, and business to extract insights from data. They develop and implement data analysis algorithms, and build models to predict future trends. This course will provide you with a strong foundation in the tools and techniques used by Data Scientists, including data analysis software tools and statistical process control.

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Statistician

Statisticians are responsible for the collection, analysis, interpretation, and presentation of data. They use their skills in mathematics, statistics, and computing to solve problems in a wide range of industries. This course will provide you with a solid foundation in the tools and techniques used by Statisticians, including data analysis software tools and statistical process control.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical methods to help organizations make better decisions. They use data to identify inefficiencies and develop solutions to improve operations. This course will provide you with a strong foundation in the tools and techniques used by Operations Research Analysts, including data analysis software tools and statistical process control.

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Business Analyst

Business Analysts use data to identify and solve business problems. They work with stakeholders to understand their needs, and then develop and implement solutions. This course will provide you with a strong foundation in the tools and techniques used by Business Analysts, including data analysis software tools and statistical process control.

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Market Researcher

Market Researchers collect, analyze, and interpret data to understand consumer behavior. They use this information to develop marketing strategies and campaigns. This course will provide you with a strong foundation in the tools and techniques used by Market Researchers, including data analysis software tools and statistical process control.

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User Experience (UX) Designer

User Experience Designers create products and services that are easy and enjoyable to use. They use their knowledge of human behavior and design principles to create user interfaces that are intuitive and efficient. This course will provide you with a foundation in the tools and techniques used by UX Designers, including data analysis software tools and visualization software.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages, software development tools, and computer science to create software that meets the needs of users. This course will provide you with a foundation in the tools and techniques used by Software Engineers, including data analysis software tools.

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Web Developer

Web Developers create and maintain websites. They use their knowledge of programming languages and web technologies to build websites that are functional and visually appealing. This course will provide you with a foundation in the tools and techniques used by Web Developers, including data analysis software tools and visualization software.

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Data Engineer

Data Engineers design, build, and maintain the infrastructure that stores and processes data. They use their knowledge of databases, programming languages, and cloud computing to ensure that data is accessible, reliable, and secure. This course will provide you with a foundation in the tools and techniques used by Data Engineers, including data analysis software tools.

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Data Visualization Specialist

Data Visualization Specialists create visual representations of data to make it easier for users to understand. They use their skills in design and technology to create clear and concise visualizations that communicate key insights. This course will provide you with a strong foundation in the tools and techniques used by Data Visualization Specialists, including data visualization software.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. They use this information to make investment decisions and develop trading strategies. This course will provide you with a strong foundation in the tools and techniques used by Quantitative Analysts, including data analysis software tools and statistical process control.

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Actuary

Actuaries use mathematical and statistical models to assess risk. They use this information to develop insurance and pension plans, and to advise clients on financial matters. This course will provide you with a strong foundation in the tools and techniques used by Actuaries, including data analysis software tools and statistical process control.

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Risk Analyst

Risk Analysts use data to identify and assess risks. They use this information to develop risk management plans and advise clients on risk mitigation strategies. This course will provide you with a strong foundation in the tools and techniques used by Risk Analysts, including data analysis software tools and statistical process control.

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Financial Analyst

Financial Analysts use financial data to make investment decisions. They use this information to develop financial models and advise clients on investment strategies. This course will provide you with a strong foundation in the tools and techniques used by Financial Analysts, including data analysis software tools.

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