Python for Data Analytics and Visualisation

Those who want to learn data analytics using Python, such as students, working professionals and PMETs.

• Minimum age: 16 years old
• Knowledge of basic PC skills
• A basic proficiency in reading, writing and understanding English
• A basic understanding of Python. Participants who are unfamiliar with it are encouraged to take up Training Course 1: Basics of Python prior to this course.

Duration: 8 hours – 1 day

Consists of 5 modules:

Module 1: Understanding data

The module aims to teach students how to apply data from external sources into the Python environment and manipulate and analyse it. Before any data analytics project, it is very important to use statistical algorithms and methods to analyse data as part of the data analytics process.

Module 2: Data Wrangling

The module aims to teach students about how Python libraries can be leveraged to deal with data inconsistencies, issues with data and to make them fit for data analytics. This is where 80% of today’s data scientists and engineers spend their time and it is very important to know how to do it.

Module 3: Exploratory Data Analysis

The objective of this module is to understand how to use appropriate statistical methods and visualisations for descriptive analytics.

Module 4: Model Development for Analysis

This module guides the participants on the very first steps towards forming hypotheses and doing predictive analytics. It aims to equip participants with the basics of how supervised machine learning models work and how evaluation and optimisation can be carried out.

Module 5: Data Visualisation

The objective of this module is to understand basic metrics and KPIs (Key Performance Indicators) of different business cases and plotting advanced interactive visualisations for data analysis to gain insights from data.

No Exam

Certificate of Completion

Course Fee: S$481.50 (inclusive of GST)