IBM
Data Analysis and Visualization Foundations Specialization

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IBM

Data Analysis and Visualization Foundations Specialization

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.

IBM Skills Network Team
Rav Ahuja
Sandip Saha Joy

Instructors: IBM Skills Network Team +4 more

42,540 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.8

(3,019 reviews)

Beginner level

Recommended experience

Flexible schedule
4 weeks at 10 hours a week
Learn at your own pace
Build toward a degree
Get in-depth knowledge of a subject
4.8

(3,019 reviews)

Beginner level

Recommended experience

Flexible schedule
4 weeks at 10 hours a week
Learn at your own pace
Build toward a degree

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

Skills you'll gain

  • Category: IBM Cognos Analytics
  • Category: Data Import/Export
  • Category: Data Analysis
  • Category: Data Cleansing
  • Category: Data Wrangling
  • Category: Excel Formulas
  • Category: Data Collection
  • Category: Data Mart
  • Category: Microsoft Excel
  • Category: Statistical Analysis
  • Category: Data Visualization Software
  • Category: Data Quality

Details to know

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Taught in English
Recently updated!

June 2025

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

Specialization - 4 course series

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process

  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst

  • Describe the different types of data structures, file formats, and sources of data

  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

Category: Data Cleansing
Category: Data Visualization Software
Category: Data Lakes
Category: Data Analysis
Category: Apache Spark
Category: Big Data
Category: Data Wrangling
Category: Statistical Analysis
Category: Data Collection
Category: Data Warehousing
Category: Apache Hadoop
Category: Data Mart
Category: Apache Hive

What you'll learn

  • Display working knowledge of Excel for Data Analysis.

  • Perform basic spreadsheet tasks including navigation, data entry, and using formulas.

  • Employ data quality techniques to import and clean data in Excel.

  • Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.

Skills you'll gain

Category: Microsoft Excel
Category: Data Manipulation
Category: Data Quality
Category: Excel Formulas
Category: Pivot Tables And Charts
Category: Data Cleansing
Category: Data Import/Export
Category: Data Visualization Software
Category: Google Sheets
Category: Data Wrangling
Category: Information Privacy
Category: Data Analysis
Category: Spreadsheet Software

What you'll learn

  • Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets.

  • Explain the important role charts play in telling a data-driven story. 

  • Construct advanced charts and visualizations such as Treemaps, Sparklines, Histogram, Scatter Plots, and Filled Map Charts.

  • Build and share interactive dashboards using Excel and Cognos Analytics.

Skills you'll gain

Category: Microsoft Excel
Category: Pivot Tables And Charts
Category: Tree Maps
Category: IBM Cognos Analytics
Category: Histogram
Category: Dashboard
Category: Data Storytelling
Category: Scatter Plots
Category: Data Visualization Software

What you'll learn

  • Demonstrate readiness for performing foundational data analysis and data visualization tasks and key steps in the Data Analytics process.

  • Differentiate between the roles different data professionals play in a modern data ecosystem.

  • Perform basic Excel tasks for Data Analysis including data quality and data preparation skills.

  • Exhibit abilities in visualizing data using Excel and proficiency in creating dashboards using Excel and Cognos Analytics.

Skills you'll gain

Category: Analytics
Category: Pivot Tables And Charts
Category: Microsoft Excel
Category: Data Visualization Software
Category: IBM Cognos Analytics
Category: Data Analysis
Category: Data Wrangling
Category: Data Cleansing
Category: Data Manipulation
Category: Data Mining
Category: Exploratory Data Analysis
Category: Data Quality
Category: Spreadsheet Software
Category: Dashboard

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Build toward a degree

When you complete this Specialization, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹

 
ACE Logo

This Specialization has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution. 

Instructors

IBM Skills Network Team
IBM Skills Network Team
IBM
84 Courses1,339,831 learners

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IBM

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