Why Data Analytics?

“Meanwhile, e-commerce platforms Lazada and Shopee are hiring for roles in data analytics, business development and product development amid the rise of online shopping.”
– The Straits Times, 7 June 2020

Even our tech giants are also hiring talents in data analytics, it goes to show how important these roles are and the demand for such talents in the coming future.

Over 5,000 jobs in the pipeline for digital sector, jobs are in fields like Data Analytics.
– EDB, 5 June 2020

Explore this growing Data Analytics industry through our Data Analytics course taught by industry experts.

Supported By:

Data Analytics Course
Administered by the Infocomm Media Development Authority (IMDA), the CITREP+ funding support is eligible for Singapore Citizens and Permanent Residents. Valid for courses commencing from 1 April 2019. Terms and conditions apply. Please visit go.gov.sg/tesacitrep for full details.

REGISTRATION FULL

Overview

Course will span across 7 lessons, each lesson will be 3 hours
Consist of 3 hours of assignments & capstone project
No prior programming/technical background is required

Course Fees

Course fees will be S$2500 before funding support.

Funding Support

Eligible Singaporeans/PRs can apply for funding support up to 90% (T&C applies). ONLY Eligible Singaporeans who fits the criteria as a Student/Full-Time NSF/Just ORD can apply for funding support up to 100% (T&C applies). For more info, click here!

Just for clarification purposes

This funding support can also be used for other courses supported under the same programme.
Meaning to say you can go for Course A, B and C then apply for funding support for all courses (T&C apply).

Course Schedule

Data Analytics Course – December 2020 Bootcamp: (Live Webinar)

Dec Week 1: 7, 8, 9, 10, 11, 12, 13 Dec
Dec Week 2: 14, 15, 16, 17, 18, 19, 20 Dec
Pick either Week 1 or Week 2’s bootcamp
9AM – 12PM or 12:15PM – 3:15PM or 3:30PM – 6:30PM or 7PM – 10PM
You can pick one of the time slots above
Kindly note that you have to commit to the time slot chosen for the entire bootcamp

Data Analytics Course – January 2021 Bootcamp: (Live Webinar)

16, 17, 18, 23, 24, 30, 31 January 2021
Monday: 7PM – 10PM
Saturday & Sunday: 9AM – 12PM or 12:15PM – 3:15PM
7 lessons in total (1 lesson on a Monday night & 6 lessons on the weekends)

Course Outline

Learning Objectives:

Basic programming in Python
Learn about Databases

Breakdown:

Python Data Types
Python Data Structures
Python Fundamental Concepts
Pandas Introduction
Why Databases
Types of Databases

Learning Objectives:

Basic programming in SQL
Use SQL to mine data and create projections from data in SQL
Work with Databases to collect and provide projection using SQL

Breakdown:

Databases
SQL Syntax and Statements
Working with Databases

Learning Objectives:

Applied Statistics
Manipulate data using Numpy
Develop new or modify existing algorithms using Numpy
Able to diagnose unintended outcomes produced by analytical models
Able to diagnose and clean data to produce better outcomes

Breakdown:

Numpy
Statistics
Combinatorics
Exploratory Data Analysis

Learning Objectives:

Derive insights using visualization
Evaluate and use prospective analytics use and platforms for their functional capabilities and ability to meet requirements of the analytic environment
Facilitate changes to statistical models to optimise performance and yield intended outcomes
Uncover underlying relationships among different variables such as correlation and covariance
Learn features, pros and cons of various statistical approaches, algorithms, tools and applicability of various data models

Breakdown:

Exploratory Data Analysis 2
Scikit-Learn library
Bootstrapping
Group project and further EDA

Learning Objectives:

Develop new algorithms and leverage on machine learning to isolate trends and optimize data-driven decision making
Develop and apply regression models, including linear, multiple and other machine learning models in Python
Diagnose unintended outcomes produced by analytical models
Conduct statistical modelling of data to derive patterns / solutions
Perform coding and configuration of software agents or programs based on a selected model or algorithm

Breakdown:

Supervised Learning
Unsupervised Learning
Machine Learning Concepts
Model Evaluation

Learning Objectives:

Develop dashboards in Tableau
Able to produce and provide insights from Data in a meaningful manner

Breakdown:

Types of Dashboards
Dashboard providers
Analyzing dashboard & insight solutions
Documentation, Planning & Design
Dashboard Metrics
Tableau
Data Manipulation
Vizzes & Charts
Dashboard Creation & Formatting
Dashboard Publishing

Learning Objectives:

Tableau Dashboard Presentation

Breakdown:

Capstone Project Presentation
Capstone Project Review & Feedbacks

As Seen On

Course Instructors

Shu Min
AI Engineering Analyst

Take Your First Step Today

Apply Now

Kick-start Your Career in Data Analytics!

Learn the ins and outs of data analytics in Singapore with data analytics experts! Don’t get left out with different trends and practices that veteran analyst have been using. Choose to learn with Smartcademy today.

Emerging Industry
Demand for Data Analyst is booming right now.

High Salary
Salary can go up to S$120k for a mid-level Data Analyst.

Future Prospects
Data is the new oil.

According to EDB, some 50,000 ICT jobs are expected to be created in Singapore in the next few years. Michael Page also released that demand for technology jobs in Singapore rose by over 20% in the past 12 months.

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