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$1,999 and get US$190 off with a referral

Course Information Flexible payment available
Course Information Special group enrolment pricing

Learning is better with your colleagues

Our participants tell us that taking this programme together with their colleagues helps to share common language and accelerate impact.

We hope you find the same. Special pricing is available for groups.

The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
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Courtlyn

Promotion and Events Specialist

Welcome

To claim your US$190 programme fee coupon for Analytics: From Data to Insights, please complete the information form.

Applications close on 22 September 2023

Apply before 22 September 2023 and avail early bird tuition assistance of 5%.
Use code APAC05TA 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+ Pre-Recorded Video Lectures* from NUS faculty with for self-paced learning interspersed with live lectures from renowned NUS faculty and industry practitioners

10+ Discussion Boards

10+ Real-World Examples

2 Case Studies

1 Capstone Project

Python Bootcamp

Note: The programme highlights mentioned above are subject to change based on faculty availability and the desired outcomes of the programme.
*This programme is primarily self-paced online with some live sessions conducted by programme faculty. The availability of post-session video recordings is at the discretion of the faculty members, and Emeritus or the institute cannot guarantee their availability. We have a curated panel of distinguished industry practitioners who will conduct weekly live doubt-clearing sessions.
**Assignments will be graded by industry practitioners who are available to support participants in their learning journey, and/or by the Emeritus grading team. The final number of quizzes, assignments, and discussions will be confirmed closer to the start of the programme.

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 mentioned in this material are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.
*The tools will be taught by teaching faculty, industry practitioners, or linked to relevant knowledge bases for your reference and self-guided learning.

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.

Note: *This programme is primarily self-paced online with some live sessions conducted by programme faculty. The availability of post-session video recordings is at the discretion of the faculty members, and Emeritus or the institute cannot guarantee their availability. We have a curated panel of distinguished industry practitioners who will conduct weekly live doubt-clearing sessions.
**Assignments will be graded by industry practitioners who are available to support participants in their learning journey, and/or by the Emeritus grading team. The final number of quizzes, assignments, and discussions will be confirmed closer to the start of the programme.

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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.

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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

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.

Dr Ai Xin graduated from NUS with a PhD in Electrical and Computer Engineering. Her research focuses on Game Theoretical Modelling, Optimisation Methods, Algorithm Design and Wireless Networks. She worked in BHP Billiton Marketing Asia for eight years and gained plenty of industry experience through different functions, e.g., risk management, supply chain management, sales and marketing planning, and beyond.

Note: Programme Faculty for the live sessions might change due to unavoidable circumstances, and revised details will be shared closer to the programme start date.

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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Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the National University of Singapore.
*Emeritus or the institute does not guarantee availability of any live faculty session recordings.

Emeritus Career Services

Stepping into a business leadership career requires a variety of job-ready skills. Below given services are provided by Emeritus, our learning collaborator for this program. The primary goal is to give you the skills needed to succeed in your career; however, job placement is not guaranteed.

Emeritus provides the following career preparation services:

●   Resume building videos

●   Interview preparation videos

●   Linkedln profile building videos

●   Interview guidebooks

●   Glossary of resume templates

The Learning Experience

What is it like to learn with the learning collaborator, Emeritus?

More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.

A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
Limited seats are available.
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Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Learn more.