Data Analysis and Visualization Fundamentals

Overview

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 Data Analysis and Visualization Fundamentals Professional Certificate in collaboration with IBMx 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.

Job Outlook

• Data Analytics and Science professionals in the US have an average starting salary of over $80,000.
• Data Analysts are in demand, with 20% growth expected through 2028 (U.S. Bureau of Labor Statistics).

• Over 2.5 Million jobs in data science and related professions (Burning glass).

What you will 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.