
edXData analytics careers demand skills across extraction, transformation, visualization, and communication. This course connects each to real career opportunities, anchoring learning in professional relevance.
You'll extract raw data from disparate sources, wrangle and clean it into analysis-ready form, and design visualizations that tell stories stakeholders understand. Practical tools—Excel for spreadsheet power, Cognos Analytics for enterprise dashboards—let you apply concepts immediately. By grounding data technique in career context, you'll see why each skill matters and how to showcase it.
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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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
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