Building high impact data organization
Develop a holistic view and build your data organization more effectively and impactful.
Course Overview
Data is the lifeblood of modern organisations, allowing them to succeed by making informed decisions quickly to react
to a fast changing environment.
You will learn how to build high impact data analytics and engineering to enable your data team to deliver business impact
and insights beyond just numbers and statistics.
Meet the Instructors
Cliff Chew
Ex-Senior Data Analyst
- Rich data experiences in Carousell and Grab
- Enabling companies to build data capabilities >> Learn More
Koo Ping Shung
Data Science Rex Pte. Ltd, Co-founder
- Experienced in full data process from collection to strategy implementation and performance measurement. >> Learn More
Technical Requirements
- Need to be proficient in at least 1 programming language (Python, R, SQL for data analysis)
- Occasionally use Database and Dashboard tools for analytics purposes
- Know about Task Orchestration and Code versioning
Who is this for?
- Emerging data leaders and experienced data professionals who want to scale the impact of their data team
- Senior technical leaders who want to gain a broad set of experience to better guide their data team
Time
- Duration: week of 5/25 to week of 7/6
- Course Length: 6 weeks
Topics Covered
Building Effective Data Teams
Learn about different organizational structures for data teams, such as centralized, decentralized, or hybrid models, and the pros and cons of each for optimal collaboration.
Designing Efficient Workflows
Identify bottlenecks and inefficiencies in data workflows and provide strategies for streamlining processes to increase overall operational efficiency.
Optimizing Data Infrastructure
Establish data governance policies to reduce risks and improve quality and consistency through understanding how to choose the right data storage and processing technologies and implement data security measures.
Delivering Value to Business Stakeholders
Gain knowledge on how to align data efforts with business goals and identify metrics to measure the impact of data-driven insights on business performance.
Building a Data-Driven Culture
Learn to overcome resistance to data-driven decision-making, build trust in data, and incentivize data use and collaboration to create a culture that values data and encourages its use in decision-making.