Enterprise Data Analyst
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 summarizing achievements to present to decision- makers. The course is aimed at people with little to no experience in computer science, but with grounding of undergraduate-level mathematics.
- Duration: 28 days
- Modules: 9
- Fee: Request
Investigate data to extract obvious or hidden information
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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.
The 28-day 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.
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 summarizing achievements to present to decision- makers. The course is aimed at people with little to no experience in computer science, but with grounding of undergraduate-level mathematics.
Outside of the classroom, participants are expected to spend eight to ten hours a week on homework and their final project.
This course is made out of nine Modules and requires participants to demonstrate the application of their learning through a Capstone Project.
Learning outcome:
Upon completion, participants should be able to demonstrate each of the following;
- Comprehend the principles, techniques, and practices relevant to Statistics
- Conduct Hypothesis Testing
28 days of in depth learning
Face to face with experienced Data Scientist.
1x Capstone
Applied Learning with real world use cases.
HRDF Claimable
HDRF claimable. EPP option available for selected credit card.
CADS Certification
Earn certification upon completion.
How This Track Program Works
Take Courses
Complete all 9 modules outlined in this track program that helps you master a skill
Complete Capstone
Apply learning with real world use cases to complete this track and earn a certificate
Earn a Certificate
Earn a certificate when you complete all courses and a capstone project
Learning Path
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 9
Capstone
The Capstone Project is an important bridge between the theoretical knowledge gained from training sessions and applying that knowledge in real-world analysis. During the project, participants will go through the entire process of solving a real-world problem: from collecting and processing real-world data, to designing the best method to solve the problem and finally, to presenting and/or implementing of a solution. The problems and datasets that participants will engage with comes from real-world settings identical to what participants might encounter in their respective field of expertise.
CADS Certification
EDA CADS Certified Enterprise Data Analyst
Certification information for this module & track will be made available soon.
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Enterprise Data Analyst
