Technical Skills
Upon completion of the program, participants will be key leaders and contributors of a data science team. Armed with skills to approach data analytics problems, participants will be able to analyze data to drive informed business decisions.
Modules
- Introduction to Computer Science & Python Programming
- Introduction to Data Science
- Introduction to Applied Probability and Statistics
- Machine Learning
- Data Science – Deep Learning, Big Data & Distributed Computing, Spark, AWS, EC2, Monte Carlo Simulations
Target Participants
Participants require substantial background knowledge in mathematics, statistics, or computer programming.
Program Duration:
42 Days
Potential Job Role:
Data Scientist
Enterprise Data Analyst (EDA)
Participants completing this program will be immediate contributors to a data science team. They will assist to fame business requirements as analytics models.
Modules
- Introduction to R
- Data Analytics Applications & Statistics with R
- SQL Fundamentals with R
- Data Visualisation & Storytelling
Target Participants
Participants require a background knowledge in mathematics, statistics, or computer programming.
Program Duration:
15 Days
Potential Job Role:
Data & Business Analyst Report Developer
Enterprise Data Engineer (EDE)
Participants from this program will be able to read, understand, modify, and write code to perform a variety of analytics tasks. Participants will also be able to successfully obtain, prepare and publish data in a dimensional data warehouse.
Modules
- Introduction to Computer Science & Python Programming
- Data Collection & Wrangling
- Data Storage: Survey & Hands-on of NoSQL Databases
- Big Data
Target Participants
Ideally, participants should have a programming background which can be enhanced through this program for the purpose of analytics
Program Duration:
20 Days
Potential Job Role:
Data Engineer