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IBM: Data Analytics and Visualization Capstone Project

Accelerate the knowledge you gain from previous courses in the IBM Data Analyst Professional Certificate program. Assume the role of an Associate Data Analyst and use various skills and techniques on real-world datasets to accomplish a task.

Data Analytics and Visualization Capstone Project
6 weeks
2–3 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts Mar 28
Ends Jun 30

About this course

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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

This course provides students with the opportunity to assume the role of an Associate Data Analyst who has recently joined an organization. In this role, you will use Data Analytics skills and techniques on real-world datasets to complete a business task.

You will gain useful experience collecting, analyzing, and preparing data to be used for making charts and constructing an interactive dashboard. The course ends with a presentation of your data analysis report that tests your ability to create a compelling story for the various stakeholders in the organization.

This course is a great way to display your Data Analytics skills and prove your proficiency to potential employers.

Awards

Data Analytics and Visualization Capstone Project

At a glance

  • Language: English
  • Video Transcripts: اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文
  • Associated programs:
  • Associated skills:Data Analysis, Presentations

What you'll learn

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  • Apply Data Analysis and Visualization skills learned throughout various courses in the IBM Data Analytics Professional Certificate
  • Collect data from various sources using webscraping and APIs
  • Use various data wrangling techniques to identify duplicate rows, find missing values, and normalize date in an Excel spreadsheet
  • Find the distribution of date, the presence of outliers, and the correlation between different columns
  • Creat visualizations showcasing the distribution of data, the relationships between data, and the composition and comparison of data
  • Create a dashboard that is intuitive, appealing, and easy to understand using IBM Cognos Analytics as a BI platform
  • Demonstrate your ability to clarify your analysis and relay your findings to stakeholders using a PowerPoint Presentation

This course is part of Data Analyst Professional Certificate Program

Learn more 
Expert instruction
9 skill-building courses
Self-paced
Progress at your own speed
10 months
2 - 4 hours per week

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