Analytics: From Data to Insights

Apply data analytics and python techniques and methodologies to uncover key business insights.

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Course Dates
LAST DAY TO ENROL

Course Duration

DURATION

5 Months, Online
6-8 hours per week

Course Fee

PROGRAMME FEE

US$1,800 or get US$180 off with a referral

Course Information Flexible payment available
Course Information Special group enrolment pricing

Free 6-Months Access to Emeritus Insights

This programme features 6 months of free Premium Access to Emeritus Insights—a mobile app with 5,000+ bite-sized, business-focused videos to help you meet your daily learning goals on the go.

Applications close on 3 April 2023

Apply before 3 April 2023 and avail early bird tuition assistance of USD 100.
Use code NUS100TA while applying.

WhatsApp an Advisor on +65 8014 3066
Have questions? Our Advisor will assist you promptly.

What Will This Programme Do For You?

  • Master critical processes, tools and concepts in data analytics
  • Apply appropriate SQL queries to retrieve information and answer real-world questions
  • Prepare data for creating data models and use analytical expressions to create calculations and measures
  • Employ analytical expressions to perform time-based analyses and visualise data
  • Create Decision Tree models to find patterns and make predictions from data
  • Develop interactive visualisation reports and dashboards

Programme Highlights

50+ Video Lectures

10+ Discussion Boards

10+ Real-World Examples

2 Case Studies

1 Capstone Project

Python Bootcamp

Cutting-Edge Tools

Gain hands-on experience using the latest, most in-demand tools to transform and present your data.

Python

SQLite

Power BI Desktop

Excel Power Pivot

Excel Tables and Charts

Orange Data Mining

DAX

Note: All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Programme Modules

Module 1:

Introduction to Analytics

Module 2:

Database: Data Source

Module 3:

Database: Data Queries

Module 4:

Data Warehouse: Load and Transform Data

Module 5:

Data Warehouse: Data Model

Module 6:

Data Warehouse: Data Analysis Expressions (DAX)

Module 7:

Data Warehouse: Time-Based Analysis

Module 8:

Data Visualisation: Pivot Tables and Charts

Module 9:

Data Visualisation: Power BI I

Module 10:

Data Visualisation: Power BI II

Module 11:

Data Mining: Introduction and Clustering

Module 12:

Data Mining: Classification and Regression

Module 1:

Introduction to Analytics

Module 7:

Data Warehouse: Time-Based Analysis

Module 2:

Database: Data Source

Module 8:

Data Visualisation: Pivot Tables and Charts

Module 3:

Database: Data Queries

Module 9:

Data Visualisation: Power BI I

Module 4:

Data Warehouse: Load and Transform Data

Module 10:

Data Visualisation: Power BI II

Module 5:

Data Warehouse: Data Model

Module 11:

Data Mining: Introduction and Clustering

Module 6:

Data Warehouse: Data Analysis Expressions (DAX)

Module 12:

Data Mining: Classification and Regression


Python Bootcamp

The bootcamp is designed for professionals interested in learning practical coding skills to leverage the massive data stream their company already generates or data that they would like to collect.

This program will support the participants with valuable instructions in the most popular and fastest-growing programming language and provide skill sets to solve business problems, plan, and communicate more fluently with coders and developers.

Note: This bootcamp is a value add by Emeritus to ensure comprehensive learning journey and enable holistic development of your data analytics skills.



Capstone Project

Toward the end of the programme, you will demonstrate your newly gained analytics skills by applying what you learned to build a simulation of real-life projects.

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Real-World Examples

Through real-world examples from multiple industries, you'll see how the theories of data analytics are put into practice.

Baseball

Baseball

The usage of analytics in professional baseball as shown in the movie Moneyball

Movie Sales

Analytics in movie sales transaction database

Sunglasses Retailer

Analysing data to provide insight for a sunglasses retailer

RDBMS

Popular Relational Database Management Systems (RDBMs) software examples

Data for Businesses

Turning sales, marketing and customer data into valuable information for businesses

Airlines Delay Data

Transforming airline delay data to a user-friendly interface

Case Studies

Reseller Sales Analysis

Case Study using Power Pivot: Reseller Sales Analysis

Sales Quota Analysis

Case Study using Power BI: Sales Quota Analysis

Note: All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Why Enrol for the Programme?

The importance of data cannot be overstated when it comes to business success. Not only does data enable companies to understand the current state of the business and its many processes, but it also provides a solid foundation to identify opportunities and predict future outcomes. But collecting data isn't enough. It must be visualised, filtered and broken down into actionable insights by the right data tool for the job.

Analytics: From Data to Insights, an online programme offered by NUS School of Computing, is designed to give you the hands-on experience you need to master data analytics and make better business decisions. No prior coding experience required.

Who Is This Programme For?

Analytics: From Data to Insights programme is designed for analysts, engineers, professionals and managers with up to 15 years of experience. Both professionals with a tech or non-tech background can benefit from the programme.

The programme is applicable across major industries, including IT Services, Financial Services, BFSI, Management, Consulting, and across all functions.



This programme is beneficial for professionals aspiring to:

  • Understand how to solve business problems with analytical skills in real-world scenarios
  • Develop skills to use large data sets to derive insights for making critical decisions

Programme Faculty

AI XIN

PhD in Electrical and Computer Engineering

Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore. She has over a decade of experience teaching Artificial Intelligence and Data Science courses such as machine learning, deep learning, data mining, etc. More info

Past Participant Profiles

Certificate

Example image of certificate that will be awarded after successful completion of this program

Certificate

Upon successful completion of the programme, participants will be awarded a verified digital certificate by NUS School of Computing.

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Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Learn more.