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Rav Ahuja, Steve Ryan, Sandip Saha Joy, and Sandip Sasha Joy

Data has become a critical asset to nearly every organization. The powerful insights that data analysis and visualization provide is transforming the way organizations operate and how decisions are made. This presents a growing demand for Data Analysts, and the U.S. Bureau of Labor Statistics projects a growth rate of 20% in the data analytics industry until 2028.

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Data has become a critical asset to nearly every organization. The powerful insights that data analysis and visualization provide is transforming the way organizations operate and how decisions are made. This presents a growing demand for Data Analysts, and the U.S. Bureau of Labor Statistics projects a growth rate of 20% in the data analytics industry until 2028.

The 3-Course Data Analysis and Visualization Fundamentals program enables you to take the first steps towards understanding the essentials of data analysis, and provides the technical skills, knowledge, tools, and hands-on practice experience to begin your career path in data analytics and becoming an industry expert. NO prior programming knowledge or any data analytics knowledge is required.

What you'll learn

  • Define Data Analytics and the key steps in the Data Analytics process.
  • Describe the key components of a modern data ecosystem.
  • Discover the various career opportunities available to Data Analysts.
  • Describe the steps you need to take to extract raw data from disparate sources, transform raw data into analytics-ready data, and load data into data repositories for use in analytics and reporting.
  • Describe the process, tools, and techniques required for data wrangling, data cleaning, data mining, and data visualization.
  • Perform data wrangling, data cleansing, and data analysis tasks using spreadsheets like Microsoft Excel.
  • Analyze data using filter, sort, and pivot features within spreadsheets like Microsoft Excel.
  • Design data visualizations using charts, graphs, and plots with tools like Microsoft Excel.
  • Design and create dashboards in a cloud platform using Cognos Analytics.

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What's inside

Three courses

Analyzing Data with Excel

(12 hours)
This course provides students with the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course consists of several videos, demos, examples, and hands-on labs to help you learn, and ends with a final assignment project which will help you put what you have learned into practice.

Data Visualization and Building Dashboards with Excel and Cognos

(10 hours)
This course provides students with the basics required to create data visualizations and dashboards using both Microsoft Excel and IBM Cognos Analytics. You begin the process of telling a story about your data by creating several basic and advanced charts in Excel and learning how to add them to a digital dashboard.

Data Analytics Basics for Everyone

(12 hours)
In this course, you will learn about the various components of a modern data ecosystem and the role Data Analysts, Data Scientists, and Data Engineers play in this ecosystem. You will gain an understanding of data structures, file formats, sources of data, and data repositories. You will understand what Big Data is and the features and uses of some of the Big Data processing tools.

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