This course prepares participants to begin business intelligence projects with a hands-on approach to gathering and cleaning data. After taking this course, participants will be ready to create their own databases or oversee the creation of databases for their company.
The focus in this course is on “Big Data” datasets containing anywhere from tens of thousands to millions of observations. While the tools used are applicable for smaller datasets of a few hundred data points, the focus is on larger datasets. The course also helps participants with no experience in building datasets to start from scratch.
Finally, the course is excellent for users of Salesforce, Tableau, Oracle, IBM, SAP and other BI software packages since it helps viewers see through the “black box” to the underlying mechanics of Business Intelligence practices.
***Please download and open all supporting materials before starting the course videos.***
Learning Objectives
- Explore how to critically examine databases produced by Business Intelligence (BI) software packages like those from Salesforce, Tableau, Oracle, IBM for issues or concerns
- Recognize how to gather relevant data from publicly available databases
- Explore how to merge datasets together based on unique identifiers to create a single useable database
- Identify and examine data via automated tools and processes to weed out questionable or erroneous data points
Included In Certifications
This course is included in the following Certification Programs:
15 CoursesData Analytics Professional (DAP) Certification
- The Fundamentals of Business Intelligence (BI): What it Does and Why it's so Essential
- How is Industry Using Big Data? – A Case Study Reading
- Business Intelligence - Data Collection and Cleaning
- Business Intelligence - Structuring Data for Analysis
- Business Intelligence - Fundamentals of Data Analysis
- Business Intelligence - Using Big Data Analytics
- Doing Data Analytics In Excel (Hands-on module)
- Regressions in Excel (Hands-on module)
- Financial Forecasting
- Advanced Analytics – Omitted Variables
- Advanced Analytics – Fixed Effects
- Case Study in Data Analytics
- Using Regressions for Forecasting
- Financial Forecasting in Excel (Hands-on module)
- Blockchain for Business
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Prerequisites
No Advanced Preparation or Prerequisites are needed for this course. However, it is recommended to take the other courses in the series prior to completing this one.
Education Provider Information
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