Go Beyond the Numbers: Translate Data into Insights from Coursera

This is the third of seven courses in the Google Advanced Data Analytics Certificate. In this course, you’ll learn how to find the story within data and tell that story in a compelling way. You'll discover how data professionals use storytelling to better understand their data and communicate key insights to teammates and stakeholders. You'll also practice exploratory data analysis and learn how to create effective data visualizations.

Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you build your data analytics skills to prepare for your career.

Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate.

By the end of this course, you will:

-Use Python tools to examine raw data structure and format

-Select relevant Python libraries to clean raw data

-Demonstrate how to transform categorical data into numerical data with Python

-Utilize input validation skills to validate a dataset with Python

-Identify techniques for creating accessible data visualizations with Tableau

-Determine decisions about missing data and outliers

-Structure and organize data by manipulating date strings

What's inside

Syllabus

Find and share stories using data

You’ll learn how to find the stories within data and share them with your audience. You’ll learn about the methods and benefits of data cleaning and how it can help you discover those stories. You’ll also go over the steps of the EDA process and learn how EDA can help you quickly understand data. Finally, you'll explore different ways to visualize data to communicate key insights.

Explore raw data

Finding stories in data using EDA is all about organizing and interpreting raw data. Python can help you do this quickly and effectively. You’ll learn how to use Python to perform the EDA practices of discovering and sculpting.

Clean your data

You’ll explore three more EDA practices: cleaning, joining, and validating. You'll discover the importance of these practices for data analysis, and you’ll use Python to clean, validate, and join data.

Data visualizations and presentations

You’ll practice creating and presenting data stories in an ethical, accessible, and professional way. You'll also explore advanced data visualization techniques in Tableau.

Course 3 end-of-course project

In this end-of-course project, you’ll practice using Python to perform EDA on a workplace scenario dataset. Then, you'll use Python and Tableau to visualize the data.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops professional skills in data storytelling for data analysis roles

Provides a foundation of knowledge in data analytics

Provides hands-on experience with Python and Tableau

Taught by experienced data analysts

Examines fundamental techniques for data exploration and visualization

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 Go Beyond the Numbers: Translate Data into Insights with these activities:

Seek guidance from experienced data analytics professionals

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Connecting with experienced mentors can provide valuable insights and guidance for your career growth in data analytics.

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Identify potential mentors through networking events or online platforms
Reach out to mentors and express interest in their guidance

Compile a list of data analysis resources

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Creating a compilation of data analysis resources will provide you with a valuable reference for future learning and problem-solving.

Browse courses on Data Analysis

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Gather resources related to data analysis, such as articles, tutorials, and datasets
Organize and categorize the resources based on topics or use cases

Collaboratively solve data analysis problems

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Working with peers to solve data analysis problems will enhance your understanding and problem-solving skills.

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Form a study group with peers
Discuss and analyze data analysis problems together
Share and evaluate different approaches and solutions

Four other activities

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Practice Python data cleaning

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This activity will solidify your understanding of Python for data cleaning, which is crucial for transforming raw data into usable data for analysis.

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Find a dataset that needs cleaning
Identify the types of cleaning operations needed
Apply Python functions to clean the data

Create an advanced data visualization using Tableau

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Creating advanced data visualizations with Tableau will enhance your ability to communicate data insights effectively.

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Identify a dataset that requires advanced visualization
Explore different chart types and their suitability
Implement advanced Tableau features, such as calculated fields, parameters, and dashboards

Contribute to a data visualization library

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Contributing to a data visualization library will deepen your understanding of advanced data visualization techniques.

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Identify a data visualization library that aligns with your interests
Review the library's documentation and codebase
Propose a new feature or enhancement to the library

Present data insights from Tableau visualizations

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Presenting data insights from Tableau visualizations will help you communicate your findings and make informed decisions based on data.

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Prepare a presentation based on Tableau visualizations
Explain the key insights and trends observed in the data
Make recommendations and propose actions based on the analysis

Career center

Learners who complete Go Beyond the Numbers: Translate Data into Insights will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists utilize data to gain insights that can help businesses make informed decisions. This course can help build a foundation for a career as a Data Scientist by teaching learners how to find and share stories using data, explore raw data, clean data, and create data visualizations. These skills are essential for Data Scientists, who need to be able to communicate their findings effectively to stakeholders.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts use data to solve business problems. This course can help build a foundation for a career as a Data Analyst by teaching learners how to find and share stories using data, explore raw data, clean data, and create data visualizations. These skills are essential for Data Analysts, who need to be able to communicate their findings effectively to stakeholders.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to identify and solve business problems. This course can help build a foundation for a career as a Business Analyst by teaching learners how to find and share stories using data, explore raw data, clean data, and create data visualizations. These skills are essential for Business Analysts, who need to be able to communicate their findings effectively to stakeholders.

See salaries and explore the career path for Business Analyst

Data Visualization Specialist

Data Visualization Specialists create visual representations of data that help businesses understand their data and make informed decisions. This course can help build a foundation for a career as a Data Visualization Specialist by teaching learners how to find and share stories using data, explore raw data, clean data, and create data visualizations.

See salaries and explore the career path for Data Visualization Specialist

Data Engineer

Data Engineers build and maintain data pipelines that allow businesses to collect, store, and process data. This course can help build a foundation for a career as a Data Engineer by teaching learners how to explore raw data, clean data, and create data visualizations. These skills are essential for Data Engineers, who need to be able to understand and manipulate data effectively.

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Statistician

Statisticians use data to make inferences about the world. This course can help build a foundation for a career as a Statistician by teaching learners how to find and share stories using data, explore raw data, clean data, and create data visualizations.

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Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models that can be used to make predictions or automate tasks. This course can help build a foundation for a career as a Machine Learning Engineer by teaching learners how to explore raw data, clean data, and create data visualizations.

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Operations Research Analyst

Operations Research Analysts use data to improve the efficiency of business processes. This course can help build a foundation for a career as an Operations Research Analyst by teaching learners how to find and share stories using data, explore raw data, clean data, and create data visualizations.

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Risk Analyst

Risk Analysts use data to identify and assess risks. This course can help build a foundation for a career as a Risk Analyst by teaching learners how to find and share stories using data, explore raw data, clean data, and create data visualizations.

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Quantitative Analyst

Quantitative Analysts use data to make investment decisions. This course can help build a foundation for a career as a Quantitative Analyst by teaching learners how to find and share stories using data, explore raw data, clean data, and create data visualizations.

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Data Architect

Data Architects design and build data systems that can store and process large amounts of data. This course can help build a foundation for a career as a Data Architect by teaching learners how to explore raw data, clean data, and create data visualizations.

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Consultant

Consultants advise businesses on how to improve their operations. This course may be useful for those interested in becoming Consultants who want to specialize in data analysis. The course can help learners build a foundation in data analysis and visualization, which are essential skills for Consultants who want to help businesses understand and use their data.

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Entrepreneur

Entrepreneurs start and run their own businesses. This course may be useful for those interested in becoming Entrepreneurs who want to use data to make informed decisions. The course can help learners build a foundation in data analysis and visualization, which are essential skills for Entrepreneurs who want to understand and use data to grow their businesses.

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Software Engineer

Software Engineers design and build software applications. This course may be useful for those interested in becoming Software Engineers who want to develop data-driven applications. The course can help learners build a foundation in data analysis and visualization, which are essential skills for Software Engineers who want to work with data.

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Product Manager

Product Managers develop and manage products. This course may be useful for those interested in becoming Product Managers who want to develop data-driven products. The course can help learners build a foundation in data analysis and visualization, which are essential skills for Product Managers who want to understand and use data to make decisions.

See salaries and explore the career path for Product Manager