We may earn an affiliate commission when you visit our partners.

Data Literacy in Practice

In this course, you learn practical skills to explore and visualize data. You will follow a small business owner's data-driven journey to improve company performance to gain skills to prepare data, conduct analysis, and share insights using data visualizations. By the end of this course, you will be able to prepare data and conduct exploratory analysis, investigate relationships in the data by using visualizations, and communicate findings. If you are new to analyzing data, this course is for you. The focus in this course is on practical understanding while avoiding complicated statistical terminology to help you feel supported and encouraged throughout the process. Anybody can be successful in this course regardless or background.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Three deals to help you save

We found three deals and offers that may be relevant to this course.

Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until December 12

Annual Subscription Savings

Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.

Only $239!

Valid for a limited time only

Future-proof your career

Access O'Reilly books, live events, courses, and more. Save with an annual subscription.

Take

15%

off

What's inside

Syllabus

Welcome to the Data Literacy: Exploring and Visualizing Data Specialization

In this module you learn about the scope and structure of the courses in this Data Literacy: Exploring and Visualizing Data Specialization.

Data Literacy in Practice

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops foundational data analysis skills, including preparing data, conducting exploratory analysis, and communicating findings through data visualizations

Suitable for beginners, focusing on practical understanding and avoiding complex statistical terminology

Intended for individuals with any background, making it accessible to a wide range of learners

Save this course

Save Data Literacy in Practice to your list so you can find it easily later:

Save

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 Literacy in Practice with these activities:

Read and review The Data Warehouse Toolkit

Show steps

Introduce yourself to the key concepts, methodologies, and guidelines for best practices with this in-depth book.

View Kimball's Data Warehouse Toolkit Classics, 3... on Amazon

Show steps

Read and analyze the book
Take notes and highlight important concepts
Complete the exercises and case studies

Compile a collection of resources on data literacy

Show steps

Become a more well-rounded data literacy student by accessing a curated list of materials.

Browse courses on Data Literacy

Show steps

Search for resources on data literacy
Organize and categorize the resources
Create a document or website to share the compilation

Review basic statistical concepts and techniques

Show steps

Strengthen your foundation by refreshing your knowledge of key statistical concepts and methods.

Browse courses on Statistics

Show steps

Review your class notes and textbooks
Take practice quizzes or mock exams
Watch online tutorials or videos

Five other activities

Expand to see all activities and additional details

Show all eight activities

Follow tutorials on using open-source data visualization tools

Show steps

Explore and experiment with different data visualization options by utilizing beginner-friendly tutorials.

Browse courses on Data Visualization

Show steps

Search for tutorials on open-source data visualization tools
Choose a tool and follow the instructions
Practice creating visualizations with the tool

Design data visualizations using a tool like Tableau

Show steps

Become more comfortable and proficient in using Tableau to explore and visualize data.

Browse courses on Data Visualization

Show steps

Install and familiarize yourself with Tableau
Attend an introductory workshop or tutorial
Practice creating different types of visualizations
Share your visualizations with others

Develop an infographic or presentation on a data analytics topic

Show steps

Enhance your understanding and communicate your knowledge by creating a visual representation or presentation.

Browse courses on Data Analytics

Show steps

Choose a specific data analytics topic
Research and gather relevant data
Design and create your infographic or presentation

Solve data analysis and visualization problems on LeetCode

Show steps

Challenge yourself with a curated collection of hands-on problems to improve your understanding.

Browse courses on Data Analysis

Show steps

Create a LeetCode account
Start solving easy-level problems
Work your way up to more challenging problems

Analyze and visualize a dataset of your choice

Show steps

Demonstrate your ability to apply the skills you're learning in a practical setting.

Browse courses on Data Analysis

Show steps

Find or create a dataset
Clean and prepare your data
Perform exploratory data analysis and visualization
Make meaningful conclusions and insights

Career center

Learners who complete Data Literacy in Practice will develop knowledge and skills that may be useful to these careers:

Data Analyst

With the practical data exploration and visualization skills gained in this course, you will be well-equipped to begin a career as a Data Analyst. In this role, you will use your knowledge to translate raw data into insights that can guide business decisions and improve efficiency. The course's focus on avoiding complicated statistical terminology and providing practical understanding will give you a strong foundation for success in this field.

See salaries and explore the career path for Data Analyst

Business Analyst

The skills you'll develop in this course, such as data preparation, analysis, and visualization, are essential for success as a Business Analyst. You'll be able to use data to identify trends, patterns, and insights that can help businesses make better decisions. The course's emphasis on practical understanding without complicated statistical terminology will give you a competitive edge in this role.

See salaries and explore the career path for Business Analyst

Data Engineer

This course will provide you with a solid foundation for a career as a Data Engineer. You'll learn how to prepare and manage large datasets, as well as how to design and implement data pipelines. The course's emphasis on practical understanding will give you the skills you need to succeed in this technical role.

See salaries and explore the career path for Data Engineer

Data Scientist

The skills you'll gain in this course, such as data exploration, analysis, and visualization, are essential for success as a Data Scientist. You'll be able to use data to build predictive models and solve complex business problems. The course's focus on practical understanding without complicated statistical terminology will give you a strong foundation for a successful career in this field.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

This course will provide you with a solid foundation for a career as a Machine Learning Engineer. You'll learn how to build and deploy machine learning models, as well as how to evaluate their performance. The course's emphasis on practical understanding will give you the skills you need to succeed in this technical role.

See salaries and explore the career path for Machine Learning Engineer

Data Visualization Specialist

This course will provide you with the skills you need to become a Data Visualization Specialist. You'll learn how to create clear and concise data visualizations that can communicate insights effectively. The course's focus on practical understanding will give you the skills you need to succeed in this creative and technical role.

See salaries and explore the career path for Data Visualization Specialist

Market Researcher

The skills you'll develop in this course, such as data analysis and visualization, are essential for success as a Market Researcher. You'll be able to use data to understand consumer behavior and trends, and to make recommendations for marketing campaigns. The course's focus on practical understanding without complicated statistical terminology will give you a competitive edge in this role.

See salaries and explore the career path for Market Researcher

Financial Analyst

This course will provide you with a solid foundation for a career as a Financial Analyst. You'll learn how to analyze financial data and make recommendations for investment decisions. The course's emphasis on practical understanding will give you the skills you need to succeed in this technical role.

See salaries and explore the career path for Financial Analyst

Risk Analyst

The skills you'll gain in this course, such as data analysis and visualization, are essential for success as a Risk Analyst. You'll be able to use data to identify and assess risks, and to make recommendations for risk mitigation strategies. The course's focus on practical understanding without complicated statistical terminology will give you a competitive edge in this role.

See salaries and explore the career path for Risk Analyst

Operations Research Analyst

This course will provide you with a solid foundation for a career as an Operations Research Analyst. You'll learn how to use data to optimize business processes and make decisions. The course's emphasis on practical understanding will give you the skills you need to succeed in this technical role.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

The skills you'll develop in this course, such as data analysis and visualization, are essential for success as a Quantitative Analyst. You'll be able to use data to build financial models and make investment decisions. The course's focus on practical understanding without complicated statistical terminology will give you a competitive edge in this role.

See salaries and explore the career path for Quantitative Analyst

Actuary

This course will provide you with a solid foundation for a career as an Actuary. You'll learn how to use data to assess risk and make recommendations for insurance policies. The course's emphasis on practical understanding will give you the skills you need to succeed in this technical role.

See salaries and explore the career path for Actuary

Statistician

The skills you'll gain in this course, such as data analysis and visualization, are essential for success as a Statistician. You'll be able to use data to conduct research studies and draw conclusions. The course's focus on practical understanding without complicated statistical terminology will give you a competitive edge in this role.

See salaries and explore the career path for Statistician

Epidemiologist

This course will provide you with a solid foundation for a career as an Epidemiologist. You'll learn how to use data to investigate disease outbreaks and make recommendations for public health policies. The course's emphasis on practical understanding will give you the skills you need to succeed in this technical role.

See salaries and explore the career path for Epidemiologist

Data Journalist

The skills you'll develop in this course, such as data visualization and communication, are essential for success as a Data Journalist. You'll be able to use data to tell stories and inform the public. The course's focus on practical understanding without complicated statistical terminology will give you a competitive edge in this role.

See salaries and explore the career path for Data Journalist

Reading list

We've selected 12 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 Data Literacy in Practice.

Beautiful Evidence

Save

This classic book on data visualization provides a deep understanding of the principles and techniques of creating effective visualizations. It valuable reference for anyone who wants to learn more about the field.

Beautiful Evidence

Hardcover

Data Visualization

Save

Provides a comprehensive overview of data visualization techniques and best practices. It covers topics such as data exploration, visual perception, and creating effective visualizations.

Data Literacy in Practice

Three deals to help you save

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses