Cover Image for Python for Financial Data Analysis - WhyPred
Cover Image for Python for Financial Data Analysis - WhyPred
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Python for Financial Data Analysis - WhyPred

Hosted by Michael Wang, CFA
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About Event

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:

9:30- Start

  1. 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.

11:15-11:30AM - Morning Break

  1. Module 2: Data Handling Techniques

    • Understanding different data formats.

    • Data manipulation with Pandas DataFrames.

    • Performing simple transformations and saving outputs.

12:30-1:30PM - Lunch

1:30PM - 2:45PM

  1. Module 3: Advanced Data Analysis

    • Time series analysis.

    • Techniques for merging and visualizing multiple datasets.

    • Advanced data transformation strategies

2:45PM - 3:00PM - Afternoon Break

  1. 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 specifically for financial data analysis.

  • Gain practical skills in cleaning, transforming, and analyzing diverse datasets.

  • Learn to draw insights and make data-driven decisions effectively.

Who Should Attend: This workshop is perfect for data analysts, business analysts, aspiring data scientists, and anyone who deals with data in their professional life 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!

73 Went