Machine Learning and Data Analytics using Python

• Explain the usage of data from insight generation and visualisation to fitting machine learning models using Python

• Understand the data structures in Python

• Extract data from database using SQL

• Write custom functions and codes in Python, and use relevant libraries in Python such as pandas and Numpy to manipulate data

• Perform ETL (Extract Transform Load) processing using data analysis expressions (DAX) to perform calculations

• Align and apply the supervised and unsupervised learning models in Python

• Develop dashboards using Power BI

• Optimise neural networks by using normalisation to identify best parameters settings

• Perform exploratory data analysis (EDA) and data wrangling on various data sources

• Identify challenges and demonstrate best practices in implementing machine learning models

• 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

• Developing Machine Learning Champions in future-ready organisations.

• Productive and efficient implementation of Machine Learning to solve real-life problems.

• Enabling competency in Machine Learning, including knowledge of Data Analytics and Python programming language.

The programme is designed for professionals without prior coding experience*, from both tech and non-tech domains, who want to:

• Pivot into a Machine Learning career

• Acquire Machine Learning concepts and techniques to transition into Machine Learning roles

• Gain the expertise to lead and solve real-world business problems with data and modelling at the core

The programme is particularly applicable to major industries such as IT Product & Services, Banking and Financial Services, Consulting, Education, Healthcare, and Retail, across sectors and functions.

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

• 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.