Apply data analytics and python techniques and methodologies to uncover key business insights. Integrated with Generative AI (Optional)
Please note that the programme duration includes a break week for Christmas from 24th Dec 2024 to 1st Jan 2025, and for Chinese New Year from 28th Jan 2025 to 3rd Feb 2025.
Emeritus and NUS School of Computing unite to offer an exclusive opportunity. Enrol before 18 October, 2024 using this code: APAC100ALL5924 and get USD 100 program fee benefit. Limited seats available. Reserve your spot today!
Upcoming Round Deadline: 18 October, 2024
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
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
Modules on Generative AI Including Applications
Gen-AI Masterclass and Live Case Study Discussions
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.
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
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.
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.
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
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.
The bonus content on Generative AI is optional and does not count towards your final evaluation.
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
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 an...
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.
Upon successful completion of the programme, participants will be awarded a verified digital certificate by NUS School of Computing.
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.
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.
Starts On