Coursera

Data Literacy in Practice (Coursera)

Offered by SAS,

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.
This course is part of the Data Literacy: Exploring and Visualizing Data Specialization.

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
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.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

The Hong Kong University of Science and Technology - HKUST

Python and Statistics for Financial Analysis (Coursera)

Economics & Finance Business

Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

Oct 5th 2026

4 Weeks

Python Statistics Inference

Coursera

Duke University

Data Visualization and Communication with Tableau (Coursera)

Statistics & Data Analysis Data Science

One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevant implications of data analyses.

Oct 5th 2026

5-12 Weeks

Excel Communication Computer Graphics

Coursera

University of Toronto

Data Visualization for Genome Biology (Coursera)

Statistics & Data Analysis Data Science

The past decade has seen a vast increase in the amount of data available to biologists, driven by the dramatic decrease in cost and concomitant rise in throughput of various next-generation sequencing technologies, such that a project unimaginable 10 years ago was recently proposed, the Earth BioGenomes Project, which aims to sequence the genomes of all eukaryotic species on the planet within the next 10 years. So while data are no longer limiting, accessing and interpreting those data has become a bottleneck. One important aspect of interpreting data is data visualization. This course introduces theoretical topics in data visualization through mini-lectures, and applied aspects in the form of hands-on labs.

Oct 19th 2026

5-12 Weeks

Biology Genome Data Analysis

Coursera

University of Washington

Social Media Data Analytics (Coursera)

Statistics & Data Analysis Data Science

Learner Outcomes: After taking this course, you will be able to: utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr; process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data; analyze unstructured data - primarily textual comments - for sentiments expressed in them; use different tools for collecting, analyzing, and exploring social media data for research and development purposes.

Oct 5th 2026

4 Weeks

Data Analysis Social Media Twitter

Coursera

Google Cloud

Analyzing and Visualizing Data the Google Way (Coursera)

CS: Information & Technology

This learning experience guides you through the process of utilizing various data sources and multiple Google Cloud products (including BigQuery and Google Sheets using Connected Sheets) to analyze, visualize, and interpret data to answer specific questions and share insights with key decision makers.

Oct 12th 2026

1 Week

Data Analysis Data Visualization Google Sheets

Coursera

Board Infinity

Excel Essentials and Beyond (Coursera)

Statistics & Data Analysis

Dive into "Excel Essentials and Beyond", a comprehensive exploration of Excel, the world's leading spreadsheet tool. This course is thoughtfully crafted for both newcomers to Excel and also for those aiming for mastery. We begin by introducing Excel's robust interface and foundational features, ensuring a firm grasp of data organization techniques. As you advance, you'll delve into data visualization, transforming raw data into captivating stories.

Oct 12th 2026

5-12 Weeks

Excel Microsoft Excel Data Visualization

Coursera

Johns Hopkins University

Getting Started with Data Visualization in R (Coursera)

Statistics & Data Analysis Data Science

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.

Oct 5th 2026

3 Weeks

Data Software Data Management

Coursera

Johns Hopkins University

Data – What It Is, What We Can Do With It (Coursera)

Statistics & Data Analysis Data Science

This course introduces students to data and statistics. By the end of the course, students should be able to interpret descriptive statistics, causal analyses and visualizations to draw meaningful insights. The course first introduces a framework for thinking about the various purposes of statistical analysis. We’ll talk about how analysts use data for descriptive, causal and predictive inference. We’ll then cover how to develop a research study for causal analysis, compute and interpret descriptive statistics and design effective visualizations. The course will help you to become a thoughtful and critical consumer of analytics.

Oct 5th 2026

4 Weeks

Statistics Data Analysis

Coursera

University of California, Davis

Data Visualization with Tableau Project (Coursera)

Statistics & Data Analysis Data Science

In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way.

Oct 5th 2026

5-12 Weeks

Data Analysis Data Visualization Tableau

Coursera

University of Illinois at Urbana-Champaign

Visualization for Data Journalism (Coursera)

Statistics & Data Analysis Data Science

While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors.

Oct 5th 2026

5-12 Weeks

Python Storytelling Data Analysis

Coursera

Emory University

Meaningful Marketing Insights (Coursera)

Marketing & Communication Business

With marketers are poised to be the largest users of data within the organization, there is a need to make sense of the variety of consumer data that the organization collects. Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are interpreted correctly. In Introduction to Marketing Analytics, we introduce the tools that learners will need to convert raw data into marketing insights. The included exercises are conducted using Microsoft Excel, ensuring that learners will have the tools they need to extract information from the data available to them.

Oct 5th 2026

5-12 Weeks

Marketing Data Analysis Microsoft Excel

Coursera

University of Copenhagen,Sorbonne University,University of Warsaw,University of Milan,Charles University,4EU+ Alliance

Data Literacy – What is it and why does it matter? (Coursera)

Social Sciences

You might already know that data is not neutral. Our values and assumptions are influenced by the data surrounding us - the data we create, the data we collect, and the data we share with each other. Economic needs, social structures, or algorithmic biases can have profound consequences for the way we collect and use data. Most often, the result is an increase of inequity in the world. Data also changes the way we interact. It shapes our thoughts, our feelings, our preferences and actions.

Oct 12th 2026

3 Weeks

Data Data-Driven Data Literacy