Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Python for Finance

Course Code: C207
  • HRDF

What's This Course About

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.

WSQ Funding

Full Fee 1,800.00 Before GST
GST 162.00 9% of fee
Baseline Nett 1,062.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 702.00 SG age 40+ · 70% funded
Funding and Grant Applications

For WSQ funding, please checkout the details at  WSQ - Python Programming for Finance

For IBF funding, please checkout the details at Data Analytics and Deep Learning for Financial Services (IBF Funded)

Course Fee

MYR1,800.00

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

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

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

This is an intermediate level course. The following prerequisite is assumed

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Aspiring Software Developer
  • Data Analyst
  • Web Developer
  • Automation Engineer
  • Data Scientist
  • System Administrator
  • Bioinformatics Specialist
  • Research Scientist
  • Finance Professional
  • Machine Learning Enthusiast
  • GIS (Geographic Information System) Specialist
  • IT Consultant
  • Network Engineer
  • Database Administrator
  • Tech Entrepreneur.

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

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