Enterprise Data Analyst

Enterprise Data Analyst

EDA is a twelve-day, fast-paced, and intensive introduction to the interdisciplinary field of data analytics, which includes database management, a statistical methodology for multiple dataset manipulation, hypothesis testing, forecasting, modeling and more.

Modules:
5 Modules

Duration:
10 days

Investigate data to extract obvious or hidden information.

The Enterprise Data Analyst course is a fast-paced practical introduction to the interdisciplinary field of data analytics, which is the study of how to use computer science, statistical methods and tests, coupled with a scientific mindset to extract knowledge from data.

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Harness the hidden value of big data

Commercial industries are increasingly utilizing data analytics technologies, techniques, and tools to make information-aware or data-driven business decisions.. Data Analytics (DA) is the process of investigating data to extract obvious or hidden information they contain. Commercial industries are increasingly utilizing data analytics technologies, techniques and tools to make information-aware or data-driven business decisions.

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Supercharge business with deep analytics

The objective of the course is to teach participants how to think in a data-analytics way, conduct or approximate experiments on business activity using R programming, analyze data rigorously and communicate results well, as well as summarise achievements to present to decision-makers. This course is best suited for participants that are interested in learning the fundamentals of business analytics solely to be able to think in a data-analytics way.

Learning Outcomes

Upon completion, participants should be able to demonstrate each of the following:

  • Comprehend the principles, techniques, and practices relevant to Statistics
  • Conduct Hypothesis Testing
  • Transform the raw data into information to support decision making in companies using advanced statistical techniques.

Modules

2 days

2 days

2 days

2 days

2 days

2 days

2 days

2 days

1 day

1 day

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