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SymPy Symbolic Computation on Python Training

SymPy is a Python library for symbolic computation. It is built with a focus on extensibility and ease of use, through both interactive and programmatic applications. These characteristics have led SymPy to become a popular symbolic library for the scientific Python ecosystem. This training will teach how to get started on SymPy and the applicatons of SymPy


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: SSG Training Grant

Course Code: CRS-N-0040729

Course Booking

$298.00 (GST-exclusive)

Course Date

Course Time

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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.

Course Details

Topic 1: Get Started

  • What is Symbolic Computation?
  • Why SymPy?
  • Installing SymPy

Topic 2: Basic SymPy Operations

  • Basic Operations
  • Substitution
  • Converting Strings to SymPy Expressions

Topic 3: Simplification

  • Polynomial/Rational Function Simplification
  • Trigonometric Simplification
  • Exponentials and logarithms
  • Special Functions

Topic 4: Calculus

  • Derivatives
  • Integrals
  • Limits
  • Series Expansion
  • Finite differences

Topic 5: Solvers

  • Solving Equations Algebraically
  • Solving Differential Equations

Topic 6: Matrices

  • Basic Operations
  • Basic Methods
  • Matrix Constructors

Course Admin


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

Software Requirement

Please download and install the following software prior to the class

Who Should Attend

  • Data Analysts
  • Data Scientists
  • Engineers
  • Statisticians


Chief Trainer in Tertiary CoursesDr. 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 price, awards 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.

Robotics Python TrainerMing Liang is an up-and-coming developer with expertise ranging from deep learning to hardware like the raspberry pi. He specialises mostly in the area of data science and machine learning and has won several hackathons and is ranked highly in international competitions. Furthermore, he has also done projects as part of the maker community in Singapore and build his own 3D printer as well

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