Analytics: From Data to Insights

• 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

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.

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.

• Module 1: Introduction to Generative AI

• Module 2: Generative AI Models

• Module 3: Working with Generative AI

• Module 4: Coding

Masterclass to address cutting-edge tools and latest developments

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.

Analytics: From Data to Insights programme is designed for analysts, engineers, managers and professionals seeking for a career in data analytics. 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

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

Please note:

NUS or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. NUS is not involved in any way and makes no commitments regarding the Career Services mentioned here

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.