Course

Credit Type:
Course
ACE ID:
IBM-0022
Version:
1
Organization:
IBM
Location:
Online
Length:
16 weeks (32 hours)
Minimum Passing Score:
70
ACE Credit Recommendation Period:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 introduction to data analytics
Upper-Division Baccalaureate 3 advanced data analytics
Upper-Division Baccalaureate 3 intermediate data visualization
This course is being recommended for 3 semester hours in the lower-division and a total of 6 semester hours in the upper-division
Description

Objective:

This course is offered through Coursera, which is an ACE Authorized Instructional Platform.

The course objective is to introduce learners to the modern data ecosystem, consisting of databases and other data sources within and outside an organization. Students will learn that creating stunning visualizations is a critical part of communicating data analysis results and by the end of this course, students will be able to describe common dash-boarding tools used by a data analyst, to design and create a dashboard in a cloud platform, and begin to elevate confidence in creating intermediate level data visualizations.

Throughout this course, students encounter numerous hands-on labs and a final project. With each lab, learners gain hands-on experience with creating basic and advanced charts, then continue through the course and begin creating dashboards with spreadsheets and IBM Cognos Analytics. Students' learning experience culminates with the opportunity to create an interactive dashboard that can be shared with peers, professional communities or prospective employers.

This Specialization is designed for learners interested in starting a career in the field of Data or Business Analytics, as well as those in other professions, who need basic data analysis and visualization skills to supplement their primary job tasks.

Learning Outcomes:

  • describe the data ecosystem, tasks a data analyst performs, as well as skills and tools required for successful data analysis
  • list various types of charts and plots and create them in Excel as well as work with Cognos analytics to generate interactive dashboards
  • explain basic functionality of spreadsheets and utilize Excel to perform a variety of data analysis tasks like data wrangling and data mining

General Topics:

  • What is data analytics?
  • The data ecosystem
  • Gathering and wrangling data
  • Mining & visualizing data and communicating results
  • Career opportunities and data analysis in action
  • Introduction to data analysis using spreadsheets
  • Getting started with using Excel spreadsheets
  • Cleaning & wrangling data using spreadsheets
  • Analyzing data using spreadsheets
  • Final project
  • Visualizing data using spreadsheets
  • Creating visualizations and dashboards with spreadsheets
  • Creating visualizations and dashboards with Cognos analytics
  • Final project
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Lectures
  • Practical Exercises

Methods of Assessment:

  • Other
  • Quizzes
  • Peer review graded projects with rubric
Supplemental Materials
Equivalencies
The following institutions consider this course to be equivalent to the courses listed below and may offer credit to learners who have completed this course. Equivalency publication is a new initiative and will expand as more institutions provide data. Actual credit awarded may differ, and learners are encouraged to reach out to the institution for a transfer evaluation before enrolling or paying any fees. If you believe these equivalencies are not being honored by an institution listed here, reach out to ACE at credit@acenet.edu for assistance.
Catalog University Credits Course
2025 Credit Grantor ACE 9
6		 1111 n.1 1111 V.1 PROD Test Nursing (AAS) and
3333 n.3 1111 V.1 PROD Test No CE Exhib
This is a note
2025 Credit Grantor ACE 8
5		 2222 n.2 1111 V.1 PROD Test Health Information Technology and
3333 n.3 1111 V.1 PROD Test No CE Exhib