IBM Data Analytics with Excel and R, Certificate | Part time online | Coursera | United States
3 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

This Data Engineering Foundations course offered by Coursera will prepare you for a career in data analytics. Gain the in-demand skills and hands-on experience to get job-ready in less than 3 months. No prior experience required.

Visit the Visit programme website for more information

Overview

The Data Engineering Foundations course offered by Coursera in partnership with IBM.

What you'll learn

  • Master the most up-to-date practical skills and knowledge data analysts use in their daily roles
  • Learn how to perform data analysis, including data preparation, statistical analysis, and predictive modeling using R, R Studio, and Jupyter
  • Utilize Excel spreadsheets to perform a variety of data analysis tasks like data wrangling, using pivot tables, data mining, & creating charts
  • Communicate your data findings using various data visualization techniques including, charts, plots & interactive dashboards with Cognos and R Shiny

Skills you'll gain

  • Data Visualization (DataViz)
  • Data Science
  • Spreadsheet
  • Data Analysis
  • Microsoft Excel
  • IBM Cognos Analytics
  • Relational Databases (RDBMS)
  • Dashboard
  • Data Visualization
  • R Programming
  • Pivot Table
  • Details to know

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access

Programme Structure

Courses included:

  • Introduction to Data Analytics
  • Excel Basics for Data Analysis
  • Data Visualization and Dashboards with Excel and Cognos
  • Assessment for Data Analysis and Visualization Foundations
  • Introduction to R Programming for Data Science
  • SQL for Data Science with R
  • Data Analysis with R
  • Data Visualization with R
  • Data Science with R - Capstone Project

Key information

Duration

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

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

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

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus and have unlimited access

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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