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Berkeley Global
Learn techniques to effectively produce actionable reports and visualizations from data and data sets. You research data sets from a variety of business disciplines using Microsoft Excel, Microsoft Power BI and Google Analytics. Through hands-on exercises, you leverage statistical, data-querying and dashboard tools to create products that accurately convey crucial business trends and themes.
Prerequisites:
- Successful completion of a math or statistics undergraduate course.
- Proficiency with Microsoft Excel features for managing data in spreadsheets.
- Basic understanding of the goals, processes and operations of business enterprises.
- A laptop running Windows and Excel. You can use Mac laptops but will be responsible for installing Windows on your Mac using one of the many utilities available.
Course Outline
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Course Objectives
- Explore a range of analytics and visual processes to effectively determine the best tools for the job.
- Learn to analyze and process data from spreadsheets and relational databases.
- Research the varieties of Internet data, and learn how to effectively represent them for business purposes.
- Learn to produce responsive dashboards and reports that successfully display on laptops, mobile devices, or digital signs.
What You Learn
- Data analytics and visualization (DAV)
- Statistics for DAV
- Data from spreadsheets and relational databases
- Data from the Internet and IoT
- Microsoft Excel for DAV
- Popular tools for DAV
- Microsoft Power BI
- Dashboard design
- Selecting visualizations
- Designing for mobile
- Validating your design
- Google Analytics
- Advanced topic: Statistical forecasting
How You Learn
- In-class presentations by the instructor and DAV industry professionals
- Individual analysis and design papers
- In-class exercises and quizzes
- Team-programming assignment using a team-chosen DAV platform such as Tableau
Is This Course Right for You?
This course is intended professionals, students and job-seekers interested in learning data analytics and visualization for business intelligence careers.
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Sections
Spring enrollment opens on October 17!