IBM
Data Analysis and Visualization Foundations Specialization
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

Sponsored by EmployNV

35,099 already enrolled

Get in-depth knowledge of a subject
4.8

(2,734 reviews)

Beginner level

Recommended experience

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

(2,734 reviews)

Beginner level

Recommended experience

Flexible schedule
1 month, 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

Details to know

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Taught in English

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  • 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
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Specialization - 4 course series

Introduction to Data Analytics

Course 110 hours4.8 (16,710 ratings)

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 Analysis
Category: Databases
Category: Python Programming
Category: SQL
Category: Data Management
Category: Data Visualization

Excel Basics for Data Analysis

Course 211 hours4.8 (8,509 ratings)

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: Spreadsheet Software

Data Visualization and Dashboards with Excel and Cognos

Course 315 hours4.7 (3,836 ratings)

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: Data Visualization

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.

Instructors

IBM Skills Network Team
IBM
58 Courses984,175 learners

Offered by

IBM

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

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Degree credit eligible

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.

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