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Data Analytics with Python is a Program

Data Analytics with Python


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Full program description

Data Analytics with Python

Course Overview

The course will provide students a basic understanding of Data Analytics using Python. Students wanting to enrol in this course should have attended the course Introduction to Coding

Who Should Attend

IT personnel

Course Duration

8 hours

Certification Obtained and Conferred by

  • What is Data Analytics

o  Identify the main outcomes of Data Analytics

o  Identify skill sets an Analytics Expert has

o  Define Data Analytics

o  Contrast Data Analytics with Business Analytics

o  Differentiate between Descriptive, Diagnostic, Predictive and Prescriptive Analytics

o  Describe CRISP-DM as an Analytics Methodology

  • Data Understanding

o  Explain what Data Understanding is

o  Identify Data Characteristics and Classifications

o  Explain and Execute Identification of Important Features using statistical tests

  • Data Preparation

o  Describe the Inputs required for Data Modelling

o  Explain and Execute strategies for Data Preparation


o  Describe Supervised Learning and Clustering

o  List the steps for Supervised Learning

o  List and Describe Common Models used in Industry

o  Compare advantages and disadvantages of different models

o  Execute an example of Supervised Learning

o  Execute an example of Clustering

o  Describe the measurements used to evaluate models

o  Describe and execute cross-validation

o  Apply and Execute the model on new data

  • Common Analytics Traps

o  Describe common Analytics Traps

Course Objectives

Students will be:

  • Able to List common Data Analytics Libraries used in Python
  • Able to Describe common Characteristics of Data
  • Able to Read, Compute and Visualize data from a spreadsheet using Pandas Library
  • Able to Identify Outliers/Anomalies in Data
  • Able to Prepare Data for Data Analysis
  • Able to Identify Important Data Fields using Statistical Tests
  • Able to Identify common Traps in Analytics


Learners are assumed to be able to:

  Have a moderate understanding in daily computer usage

  Have analytical skills to assess central concepts

  Possess a strong level of English to understand technical language

  Open mind

Medium of Instruction & Trainer

Medium of Instruction: English

Trainer: Trainee ratio is 1:25

Funding Information

Union Training Assistance Programme (UTAP)

NTUC members enjoy UTAP* benefit of up to $250 each year when you sign up for courses with NTUC LearningHub.

* UTAP supports 50% of the course fees paid cap at $250 per year. You must be a union member throughout the course duration and at the time of claim. You must achieve a minimum of 75% attendance for each application and have sat for all prescribed examinations. Other terms and conditions apply.


$252.34 (before GST) / $270 (with GST)

  • NTUC Members can enjoy up to 50% funding (capped at $250 per year) under Union Training Assistance Programme (UTAP).