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IBM - Data Analysis and Visualization Foundations Specialization 

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Data Analysis and Visualization Foundations Specialization
 at 
Coursera 
Overview

Get ahead with Data Analysis & Visualization skills

Duration

4 months

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Credential

Certificate

Data Analysis and Visualization Foundations Specialization
Table of contents
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Data Analysis and Visualization Foundations Specialization
 at 
Coursera 
Highlights

  • Earn a Certificate from IBM
  • Tasks a Data Analyst performs, as well as skills and tools required for successful data analysis
  • Graded Programming Assignments
  • Financial aid available
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Data Analysis and Visualization Foundations Specialization
 at 
Coursera 
Course details

Who should do this course?
  • For learners interested in starting a career in the field of Data or Business Analytics
What are the course deliverables?
  • Introduction to Data Analytics
  • Excel Basics for Data Analysis
  • Data Visualization and Dashboards with Excel and Cognos
More about this course
  • This Specialization prepares you for this data-driven transformation by teaching you the core principles of data analysis and visualization and by giving you the tools and hands-on practice to communicate the results of your data discoveries effectively.
  • This programe will learn the skills required to successfully start data analysis tasks by becoming familiar with spreadsheets like Excel.
  • This programe will be introduced to the modern data ecosystem, consisting of databases and other data sources within and outside your organization.

Data Analysis and Visualization Foundations Specialization
 at 
Coursera 
Curriculum

Module 1

This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker.

This course will help you to differentiate between the roles of a Data Analyst, Data Scientist, and Data Engineer. You will learn the responsibilities of a Data Analyst and exactly what data analysis entails. You will be able to summarize the data ecosystem, such as databases and data warehouses.

Module 2

It covers some of the first steps for working with spreadsheets and their usage in the process of analyzing data. It includes plenty of videos, demos, and examples for you to learn, followed by step-by-step instructions for you to apply and practice on a live spreadsheet.

This course starts with an introduction to spreadsheets like Microsoft Excel and Google Sheets and loading data from multiple formats. With this introduction you will then learn to perform some basic level data wrangling and cleansing tasks and continue to expand your knowledge of analyzing data through the use of filtering, sorting, and using pivot tables within the spreadsheet.

Module 3

Explore the different tools of a spreadsheet, such as the important pivot function and the ability to create dashboards and learn how each one has its own unique property to transform your data. Continue to gain valuable experience by becoming familiar with the popular analytics tool - IBM Cognos Analytics - to create interactive dashboards.

Faculty Icon

Data Analysis and Visualization Foundations Specialization
 at 
Coursera 
Faculty details

Sandip Saha Joy
Sandip Saha Joy is currently working as a Cognitive Data Scientist for IBM.After completing high school from Bangladesh, he is pursuing a Bachelor of Science with Specialization in Computing Science at the University of Alberta, Canada
Rav Ahuja
Designation : Global Program Director University : IBM Skills Network
Steve Ryan
Steve Ryan is based in the UK and works for Skill-Up Technologies as a Senior Instructional Designer and Content Developer. His background is in IT, and had been a Microsoft Certified Trainer since 1997 and a Microsoft Certified Systems Engineer since 1998.
Kevin McFaul
Kevin McFaul is currently manages the product team responsible for the Planning Analytics and Cognos Analytics with the goal of combining analytics with budget and forecasting capabilities to drive better business outcomes by infusing AI into an organization.

Data Analysis and Visualization Foundations Specialization
 at 
Coursera 
Entry Requirements

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  • Not mentioned

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Data Analysis and Visualization Foundations Specialization
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Data Analysis and Visualization Foundations Specialization
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