Data Analytics Online

Designed to offer high school students a preview of a career path in Data Analytics.

Program Highlights

Conduct exploratory data analysis including how to clean and pre-process data for visualisation.

Learn to visualise different types of data and how to create impactful charts and graphs.

Use Python to clean, explore and visualise data.

Implement the principles of data storytelling through the class project.

Use teamwork skills and collaboration with others in diverse group settings.

Use different problem-solving methodologies, and implement hypothesis-driven analysis and critical thinking skills.

Online Tuition:
$1,798

Session 1:
July 1, 2024 July 12, 2024 9am - 12pm PDT | 12pm - 3pm EDT

Session 2:
July 15, 2024 July 26, 2024 9am - 12pm PDT | 12pm - 3pm EDT

Session 3:
July 29, 2024 August 9, 2024 9am - 12pm PDT | 12pm - 3pm EDT

Online
Online

Course Overview

In an era where technical barriers to data analysis are rapidly diminishing, the ability to harness the power of data is no longer confined to experts with supercomputers and advanced degrees. You can now build cutting-edge data models through accessible tutorials, making data analytics a skill accessible to many. However, the real differentiator in the next decade will be the capacity to communicate effectively and instigate change through analysis.

As we progress through the Digital Age, the tools for modeling have evolved, becoming more potent, versatile, and conducive to creativity and innovation. The overarching goal of Data Analytics is to empower better decision-making by intelligently visualizing and modeling data, thereby enabling individuals to leverage insights for more informed and precise decision-making.

Meet your instructor

Dr. Claire Davis-Reddy

Previous instructor and industry specialist

Dr. Claire Davis-Reddy is the Data Science Team Lead at the South African Earth Observation Network (SAEON) – a long-term environmental monitoring facility of the National Research Foundation (NRF). Her primary directive as Team Lead is to improve South Africa's open data products, atlas portals and visualization tools in order to facilitate effective data- and evidence-driven decision-making.

Learn more

Topics you'll explore

Hands-On Learning

Participants have the chance to apply newly acquired skills to a hands-on project, providing valuable insights into the dynamic field of Data Analytics. While project briefs vary, all are meticulously selected to align with the skills covered in class, ensuring students are prepared to make a genuine impact in the professional world.

Career Exploration

The overarching goal of Data Analytics is to empower better decision-making by intelligently visualizing and modeling data, thereby enabling individuals to leverage insights for more informed and precise decision-making.