About This Course
Data analysis has become increasingly important in today’s world with the abundance of data available. Python is a powerful language that is widely used in data analysis. In this workshop, we will learn how to use Python to manipulate and analyse data. We will cover the basics of NumPy, Pandas, Matplotlib, Seaborn, and Plotly libraries. We will also dive into statistical modelling and data visualisation techniques. The workshop will include interactive sessions and a capstone project to apply the concepts learned.
Learning Objectives
- Introduction to NumPy and Pandas libraries and their role in data analysis
- Learn to manipulate and analyse data using NumPy and Pandas
- Understand the basics of data visualisation using Matplotlib, Seaborn, and Plotly libraries
- Introduction to statistical modelling
- Apply the concepts learned in a capstone project.
Prerequisites
All levels of employees. Basic knowledge of Python programming language
Target Audience
Engineers, Business Development, Finance, Marketing Professionals, Software, and IT professionals
Training Outline
- Setting Up
- Data Structures
- Manipulating Data with NumPy and Pandas
- Data Analysis with Pandas
- Visualising Data
- Advanced Data Visualisation
- Statistical Modelling with Python
- Mini Project