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Data Literacy - Exploring and Visualizing Data Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Start Your Data Literacy Journey Today . Build knowledge and skills to explore and visualize data in your professional and everyday life. This Data Literacy - Exploring and Visualizing Data Specialization is offered by Coursera in partnership with SAS.

Overview

This Data Literacy - Exploring and Visualizing Data Specialization is offered by Coursera in partnership with SAS. 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.

Skills you'll gain

  • Visual Analytics
  • Data Discovery
  • Data Analysis
  • Data storytelling
  • Data Visualization
  • Data Literacy
  • Data Cleansing

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

Programme Structure

Courses included:

  • Data Literacy Essentials
  • Data Literacy in Practice
  • Getting Started with SAS Visual Analytics
  • Data Analysis and Reporting in SAS Visual Analytics

Key information

Duration

  • Part-time
    • 1 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • Recommended experience: An interest in understanding data and how to use it in meaningful ways.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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