Data Analytics with Python and Generative AI (Module 1)
About This Course
In today's data-driven world, the ability to analyse, interpret and leverage large datasets is becoming increasingly essential across many industries and job functions. At the same time, Generative AI is transforming the way executives perform their data analytics tasks.
The Data Analytics with Python and Generative AI course offered by Nanyang Business School is specially designed to equip both analysts and managers with the essential skills to analyse data effectively and make data-driven decisions that improve business results and insights.
Consisting of 2 modules of 3 days each, this practical course introduces the key data analytics tools and techniques as well as the use of Generative AI to enhance participants’ learning of Python and execution of various data analytics tasks. This comprehensive hands-on course emphasizes real-world applications of data analytics, enabling participants to hone their skills for tasks such as statistical modelling, time series modelling, text analysis, clustering and data visualisation. The datasets and discussions focus primarily on marketing, finance, insurance, healthcare and customer behaviour, to help participants solve relevant business problems.
Upon completion of both modules, participants will:
1. Gain proficiency in Python: Learn to use Python for data analysis and visualization tasks relevant to various industries.
2. Understand data wrangling techniques: Acquire skills in handling, cleaning, and preparing datasets for analysis.
3. Use of Generative AI: Leverage Generative AI to enhance learning, assist in coding and perform data analytics tasks.
4. Visualize and communicate data insights: Learn to effectively present data insights through visualization techniques, supporting data-driven decision-making.
5. Perform analysis with data: Apply various analytics techniques to real-world data to solve practical challenges
What You'll Learn
Day 1: Introduction to Python and Generative AI for Data Analytics
• Introduction to Python Programming
o Setting up Python environments
o Python basics: variables, operators, loops, conditionals, functions, objects
• Introduction to Generative AI Concepts
o Setting up of Generative AI environment
o Overview of Generative AI basics: Code Explanation, Coding Assistant
• Hands-on Session: Python Basics with Generative AI
o Writing your first Python Script with Generative AI Coding Assistant
o Building your first customized formula
Day 2: Data Wrangling and Cleaning Data
• Data Collection, Cleaning and Insights
o Working with typical datasets (finance, marketing, insurance, customer, health etc.)
o Techniques for cleaning and transforming data: handling missing values, dealing with outliers, and ensuring data consistency
o Working with various input sources and output requirements.
• Hands-on Session: Data Wrangling with Pandas
Day 3: Data Visualisation for Analytics
• Introduction to Data Visualisation
o The role of data visualisation in making sense of data
o Common visualisation tools
o Use of Generative AI in generating visualisations and providing insights.
• Hands-on Session: Creating Visualisations and Insights
o Identify key patterns for different types of data
• Hands-on Session: Prompt Engineering Techniques
Entry Requirements
This course is suitable for:
• Analysts in marketing and finance, underwriters, risk managers and professionals who want to leverage data analytics and AI in their roles.
• Managers from various sectors who want a better understanding of how data analytics and Generative AI can transform their business practices.
While prior knowledge of Python is not required, some basic understanding of programming and/or data analytics will be a strong advantage.