Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Data Literacy: Exploring and Visualizing Data Specialization

Start Your Data Literacy Journey Today. Build knowledge and skills to explore and visualize data in your professional and everyday life.

Instructors: Emily Pressman

Included with Coursera Plus

Learn more

4 course series

Get in-depth knowledge of a subject

4.8

(14 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 course series

Get in-depth knowledge of a subject

4.8

(14 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

This Specialization provides an introduction to data literacy knowledge and helps learners build practical skills to explore and visualize data. Using real-world applications, the Specialization starts by building a foundational understanding of data and teaches learners to prepare, explore, analyze, visualize, and communicate data. New to analyzing data? This Specialization is for you, focusing on practical understanding while avoiding complicated statistical terminology.

Applied Learning Project

Through the SAS Data Literacy: Exploring and Visualizing Data Specialization, you get access to hands-on projects that are built into the course work. Examples of projects include Visual Analytics Methodology, Preparing Data Using SAS Data Studio, Analyzing Data with SAS Visual Analytics, and Designing Reports with SAS Visual Analytics.

Skills you'll gain

Tools you'll learn

SAS (Software)

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

33 practice exercises

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from SAS

Specialization - 4 course series

Applied Learning Project

Data Literacy Essentials

Course 11 hour

What you'll learn

In this course, you learn the foundational knowledge and skills you need to engage with data in meaningful ways. This is an introductory data literacy course, starting with the basics: what is data, what does it mean to be data literate, and why is it important in today’s world. You will build data skills by following the journeys of a concerned parent, a small business owner, and a public health expert, all of whom rely on data to navigate the COVID-19 pandemic. By the end of this course, you will be able to see the utility and interrogate the reliability of data, discover meaning in data by looking for patterns and trends, use data insights to make informed decisions, communicate data insights to others, and understand how bias impacts your work with data. 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.

Skills you'll gain

Data Ethics, Data Presentation, Data Literacy, Data-Driven Decision-Making, Research, Analytical Skills, Data Analysis, Investigation, Trend Analysis, and Data Storytelling

Data Literacy in Practice

Course 21 hour

What you'll learn

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.

Skills you'll gain

Data Cleansing, Exploratory Data Analysis, Data Literacy, Scatter Plots, Data Manipulation, Data Storytelling, Histogram, Technical Communication, and Data Analysis

Getting Started with SAS Visual Analytics

Course 35 hours

What you'll learn

Skills you'll gain

Data Quality, SAS (Software), Business Reporting, Virtual Environment, Data Manipulation, Data Cleansing, Data Analysis, Business Analytics, Exploratory Data Analysis, Statistical Programming, Interactive Data Visualization, and Data Access

Data Analysis and Reporting in SAS Visual Analytics

Course 48 hours

What you'll learn

Skills you'll gain

Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Analysis, SAS (Software), Analytics, Business Reporting, Data Visualization, Graphing, Data Manipulation, Trend Analysis, Statistical Programming, and Analysis

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Emily Pressman

SAS

2 Courses1,430 learners

Offered by

SAS

Compare with similar products

	Category: This Certificate

Rating
Level
Skills
Tools
Last updated
Number of practice exercises
Degree eligibility
Part of Coursera Plus

Related skills

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Data Literacy: Exploring and Visualizing Data Specialization

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Advance your subject-matter expertise