Featured byCoursera - IBM
Overview
The IBM Data Analytics with Excel and R 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 Analysis
- Data Visualization
- Computer Programming
- Statistical Programming
- Data Analysis Software
- Data Structures
- General Statistics
- Data Management
Prepare for a career as a Data Analyst
- Receive professional-level training from IBM
- Demonstrate your proficiency in portfolio-ready projects
- Earn an employer-recognized certificate from IBM
- Qualify for in-demand job titles: Data Analyst, Associate Data Analyst, Business Analyst
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Excel Basics for Data Analysis
- SQL for Data Science with R
- Data Analysis with R
- Data Visualization with R
- Data Science with R - Capstone Project
Check out the full curriculum
Visit programme websiteKey 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
Disciplines
Data Science & Big Data Data Analytics View 578 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteWhat 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
- No prior experience or degrees required.
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months.
- 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.
Improve page content