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Instructor-led Classroom Adult Training in Singapore - Modular Fast Track Skill-Based Trainings

Python for Finance Training

The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This Python Pandas for Finance training will teach you how to use Python and Pandas to model and solve real-world financial problems using Pandas, Python, and several open source tools that assist in various financial tasks such as stock market analysis.

Course Highlights

  • Pandas Series
  • Pandas Data Frame
  • Pandas Time Series
  • Collecting financial data from internet

Certificate

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

Funding and Grant Applications

Click the links below to apply. Note that you need to register the course first.

For Singaporeans: SkillsFuture Credit

For Company: WSG Absentee Payroll

Course Code: CRS-N-0032813

Course Booking

$298.00 (GST-exclusive)
$318.86(GST-inclusive)

Course Date

Course Time

* Required Fields

Course 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.
Note the minimal class size to start a class is 3 Pax.


Training Grant and Subsidy

All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website www.skillsfuture.sg/credit to choose from the courses available on the SkillsFuture Credit course directory

Course Details

Module 1 Overview of Numpy

  • What is Numpy?
  • 1D and 2D Array
  • Array Arithmetics
  • Special Functions
  • Math Functions
  • Selecting and Slicing Array Elements
  • Filtering Array Elements
  • Transforming Array
  • Statistics

Module 2 Pandas

  • Series
  • Data Frame
  • Selecting/Slicing Data
  • Import/Export Data - CSV, Excel, Internet
  • Filtering Data
  • Missing Data
  • Removing Duplicated Data
  • Joining Data from Different Sources
  • Transforming Data
  • Aggregating Data
  • Pandas Statistics

Module 3 Time Series

  • Trend & Seasonality
  • Time Range
  • Rolling Window

Module 4 Data Visualization

  • Overview of Matplotlib & Seaborn
  • Plot Types
  • Plot Attributes
  • Object Oriented Plots
  • Time Series Plot

Who Should Attend

  • Financial Analysts
  • Finance Manager
  • Stock Broker
  • Data Analysts
  • Data Scientists

Prerequisite

Prerequisite

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

Software Requirement

Pls download and install the following software prior to the class

Trainers

Python for Fiannce TrainerDr. Cao Yongxin (Steve) has more than five years of solid industrial and research experiences in data analytics. He held PdD on operations research in National University of Singapore. After his Phd study, he worked as data analyst and scientist in manufacturing and commodity trading companies. He is specialized in analyzing, visualizing and mining complex time series data using Python tools sucha as Pandas, Numpy, Matplotlib, SK-Learn, Tensorflow etc. He did research on predictive analytics on various systems e.g., Forex and commodity trading, system performance prediction, machine maintenance, etc. Besides data analytics using Python, he also extended his expertise in Microsoft Excel VBA, Hadoop big data platforms such as AWS and Microsoft Azure. In addition, he is strong in mathematical modelling and has cross-disciplinary domain knowledge in operations research, currency and commodity trading and industrial automation.

Python Finance TrainerSanjay is a Director at Alpha Alternatives Advisors, a Fund Management Company in Singapore, responsible for execution of investment mandates. Sanjay has over 15 years’ experience in Investment Banking and Asset Management across New York, London and Singapore.

Sanjay started his career in Finance as a trading desk quant at Lehman Brothers, New York. He worked closely with traders to develop and test equity derivatives trading strategies to exploit arbitrage, mean-reversion and other fundamental relationships. He was instrumental in building a Risk Management Advisory practice (Quant Advisory) with Ernst & Young in New York and London. He executed several key credit & market risk mandates with major investment banks like Morgan Stanley and Citigroup Subsequently he changed roles to become a Capital Markets Banker with Standard Chartered Bank (SCB) from 2007 to 2013 initially based in London before moving to Singapore in 2010.

Sanjay holds a Masters in Computational Finance (Financial Engineering) from Tepper School of Business, Carnegie Mellon University, Pittsburgh USA. He also holds a Bachelors in Electrical Engineering (Hons).

Sanjay is an engineer at heart and has extensive programming experience beginning with COBOL on mainframes, C/C++ on Unix and subsequently on modern languages like Java. He was one of the first Sun Certified Java Developer in 2000. His quantitative specialities include:

  • Machine Learning/Deep-learning Toolkits: PyTorch and Tensorflow, Python and its associated popular libraries like Pandas, Scikit-learn, Excel/VBA
  • Visualization and Statistics using Python, R, Tableau and Excel/VBA
  • Algorithms for machine learning: Regression Modeling, Decision Trees, Clustering, Text Mining, Simulation methods and Time Series

Python Pandas Finance TrainerJohnson Ang has a Masters in IT Analytics from SMU and is certified and a member of GARP, CQF andFSM. He has more than 8 years of working experience, of which 4 years of experience in the Banking Wide Operations and has been particularly involved in mega IT Analytic banking projects within the Risk Management and Financial Instrument sphere.

He can offer varied solid perspectives and has experience working with folks from all sorts of background, such as Developers, Traders/Dealers, CxOs, Programmers, Project Managers, Auditors, Head/Country Directors, Regulators, RMs, which is particularly during his stint in the Front, Middle and Back Office, as well as industry such as Real Estate, FMCG, Construction and Education Sector.

Not only he is familiar with typical banking software, but also has also been acquainted with popular tools such as SAS, JMP, Oracle, VBA, Access, Python, R, C, Java and many more. He has also developed a strong passion for Mathematics, Trading and Computing at a young age and has been a self-professed Algo-Trader having a Sharpe ratio of >3 and a passionate Math Tutor having taught over hundreds of students from Primary to University level.

Python Pandas Trainer Dr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products

Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book prizes, Study awards, bursaries and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

Dr. Alfred Ang was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.

Python Pandas Finance TrainerGuan Xiao Kang. analytical, efficient and quick thinking financial professional with strong quantitative skills and capability to comprehend, translate market fundamentals and fast-changing data. With over 5 years working experience with J.P. Morgan Chase in FX Option Electronic Market Making, He is strong in option pricing / risk managing in the automated / quantitative way, and also specialize in Financial data analysis using Python. With a Financial Engineering background, He is familiar with mathematical theories and methods, such as Black-Scholes, Monte Carlo, Econometric and statistical techniques. Furthermore, He is experienced in applying / implementing these methods using current technologies (mainly Python, Pandas, Numpy etc.) to solve practical problems in the Financial industry.

Customer Reviews (5)

Will RecommendReview by Chua Wen Bin
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 10/30/2017)
Will RecommendReview by WANG CHAO
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 10/8/2017)
Thank you Dr Cao! Very interesting class indeed! Review by Jessie Toh
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 8/14/2017)
Will RecommendReview by Chris Mayhead
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Send out the required programs before the course commences, to enable us to install and familiarize ourselves (Posted on 9/8/2016)
Will RecommendReview by Koh Lai Cheng
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Maybe to save on the time on more useful stuff, i think it would be good to give installation guide for the necessary software to be downloaded/install before the course date.

I think the course material could be furthermore improve with more elaboration on the concepts

(Posted on 8/21/2016)

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