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Data Analysis and Visualization 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

Get ahead w/ Data Analysis & Visualization skills. Enhance your career by learning to analyze data using Excel spreadsheets, and create stunning visualizations and interactive dashboards with Cognos. The Data Analysis and Visualization course is offered by Coursera in partnership with IBM.

Overview

 The Data Analysis and Visualization course is offered by Coursera in partnership with IBM.

What you'll learn

  • Describe the data ecosystem, tasks a Data Analyst performs, as well as skills and tools required for successful data analysis
  • Explain basic functionality of spreadsheets and utilize Excel to perform a variety of data analysis tasks like data wrangling and data mining
  • List various types of charts and plots and create them in Excel as well as work with Cognos Analytics to generate interactive dashboards

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 IBM

Skills you'll gain

  • Spreadsheet Software
  • Data Visualization
  • Data Analysis
  • Databases
  • Python Programming
  • SQL
  • Data Management

Programme Structure

Courses include:

  • Introduction to Data Analytics
  • Excel Basics for Data Analysis
  • Data Visualization and Dashboards with Excel and Cognos
  • Assessment for Data Analysis and Visualization Foundations

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: All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to self-learn online.

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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