Discover the unmatched capabilities of Python in the realm of finance. Our meticulously crafted Python for Finance course sets the foundation with a Python primer, ensuring you're well-equipped to handle the complexities ahead. Learn the intricacies of importing financial data from CSV files and directly from Yahoo Finance. Navigate the expansive world of data preparation using Pandas Series and Data Frame, ensuring your data is always in its best shape for analysis.

But, what's data without the power to transform it? Get accustomed to advanced data transformation techniques including Merge, Groupby, and Pivot, allowing you to structure and dissect financial data in myriad ways. The culmination of this journey lies in data visualization – an art and science combined. By the end of this course, you'll be adept at bringing financial data to life, making informed decisions, and showcasing insights in compelling visual formats. Embrace the future of finance with Python by your side.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

Course Code: M257

Topic 1 Get Started on Python

• Overview of Python

• Setup Python

• Code Your First Python Script

Topic 2: Data Types

• Number

• String

• List

• Tuple

• Dictionary

• Set

Topic 3 Operators

• Arithmetic Operators

• Compound Operators

• Comparison Operators

• Membership Operators

• Logical Operators

Topic 4 Control Structure, Loop and Comprehension

• Conditional

• Loop

• Iterating Over Multiple Sequences

• Comprehension

Topic 5 Function

• Function Syntax

• Return Values

• Default Arguments

• Variable Arguments

• Lambda, Map, Filter

Topic 6 Modules & Packages

• Import Modules and Packages

• Python Standard Packages

• Third Party Packages

Topic 7 Finance Data Preparation

• Data Analytics with Pandas

• Pandas DataFrame and Series

• Import and Export Finance Data

• Filter and Slice Finance Data

• Clean Missing Data

Topic 8 Finance Data Transformation

• Create Computed Data Column

• Join Finance Data with Concat, Append and Merge

• Aggregate Data with Groupby and Pivot Table

Topic 9 Finance Data Visualization

• Visualize Time Series Data with Line Plot

• Visualize Statistical Relationships with Scatter Plot

• Visualize Categorical Data with Bar Plot and Pie Plot

• Visualize Variation with Box Plot

• Visualize Distribution with Histogram

Topic 10 Finance Data Analysis

• Descriptive Statistics

• Rolling Window Average Analysis

• Covariance and Correlation

• Apply

• Data Piping