Python for Financial Data Analysis - WhyPred
Event: Python for Data Analysis Training Workshop
Overview: Join us for an intensive Python for Financial Data Analysis workshop designed for finance and investment professionals looking to harness the power of Python in their data-driven analysis and research tasks. This workshop is ideal for anyone aiming to gain a solid understanding of Python and its application in data analysis to foster actionable insights and enhance productivity in the workplace.
Key Features:
In-depth Python Training: Start from the basics and progress to complex data wrangling.
Hands-On Experience: Work with real-world datasets and perform coding under expert guidance.
Module-Based Learning: Structured learning from setting up Python environments to advanced data analysis techniques.
Course Outline:
10:30 Start
Module 1: Introduction to Python
Why Python? Understanding its role in data analysis.
Setting up your Python environment.
Exploring variables, data structures, control flows, and essential libraries.
11:30-11:45AM - Morning Break
Module 2: Data Handling Techniques
Understanding different data formats.
Data manipulation with Pandas DataFrames.
Performing simple transformations and saving outputs.
12:45-1:30PM - Lunch
Module 3: Advanced Data Analysis
Time series analysis.
Techniques for merging and multiple datasets.
Advanced financial transformation strategies
2:15PM - 2:30PM - Afternoon Break
Module 4: Special Topics in Data Analysis
Analysis of financial data.
Case studies showcasing real-world applications.
Building efficient data pipelines and learning useful tips and tricks.
Working with AI
Outcomes:
Develop proficiency in Python for data analysis.
Gain practical skills in cleaning, transforming, and analyzing diverse datasets.
Apply skills to financial datasets
Learn to draw insights and make data-driven decisions effectively.
Who Should Attend: While this workshop focuses on financial data, the skills and insights taught are equally applicable for data analysis in any domain. This course is perfect for investments analysts, researchers, business analysts, and even students who work with data in their everyday life and are looking to enhance their technical skills and data analysis capabilities.
Facilitator Bio: Michael is the founder and Principal Consultant at WhyPred. He has worked in the investment and tech industry for over 14 years. Throughout that time he has taught Programming, Data Science, Investments and AI at The University of Sydney, Kaplan Business School, CFA Society Australia and CIPC.
Join us and transform your understanding of data with Python!