Mark is the Managing Director of Leading Edge Business Solutions. Mark has been programming since the age of 10 when he wrote his fist Basic Program on an Apple IIe. He has always been passionate about computers and education and started tutoring matric students in 1994. Mark has been training advanced Linux courses, installing, configuring and maintaining Linux servers since November 1999. In 2002 Mark began training Perl courses. Mark was among the first group to write the LPI level 2 Certification in South Africa in 2004. Since March 2006 Mark has been training PHP, MySQL and JavaScript. Since 2009 Mark has started training Java and Python.
Mark's formal qualifications include:
Bsc (Engineering) Electrical
Institution: University of the Witwatersrand.
Final Subjects IncludedComputer Engineering
Certification: Level 2 Certification
Institution: Linux Professional Institute
Python has a fantastic array of modules that are useful to data scientists. Easily enabling data processing, modelling, linear algebra and much more. Python has rich data visualization capabilities, fast numerical methods, statistical and data analysis tools and machine learning libraries.
In this course you will learn how to:
Leading Training is focusing on providing virtual training courses for the foreseeable future and will only consider in-person and classroom training on request, with a required minimum group size of four delegates. We remain committed to offering training that is fast, focused and effective.
| Delivery Method | Duration | Price (excl. VAT) | |
|---|---|---|---|
| Fulltime | 2 Days | R 5,500.00 | |
| Webinar | 2 Days | R 4,600.00 |
Save up to 10% by booking and paying 10 business days before the course.
Would be data scientists, scientists, engineers, data analysts.
Introduction to programming using Python or equivalent knowledge. See https://www.leadingtraining.co.za/introduction_to_programming_training_course
Symbols
isympy
Numeric types
Differentiation and Integration
Ordinary differential equations
Series expansions and plotting
Linear equations and matrix inversion
Non linear equations
Output: LATEX interface and pretty-printing
Introduction
Arrays (Matrices)
Convert from array to list or tuple
Standard Linear Algebra operations
Numpy for Matlab users
Matplotlib 2D plotting
Matplotlib and Pylab
pyplot, numpy
Fine tuning your plot
Plotting more than one curve
Histograms
Visualising matrix data
3D Plots
Overview
Numerical integration
Solving ordinary differential equations
Finding roots using the bisection and fsolve method
Fast Fourier Transforms
Interpolation and curve fitting, including Linear regression
Intro to Machine Learning
Predictive models
Supervised Learning, Naive Bayes, Decision Trees, Random Forests.
Unsupervised Learning
There are currently no scheduled dates.
Please note that this course needs a minimum of 6 delegates to schedule a course. You can choose to be added to the waiting list by clicking the button below and we will contact you when we have enough delegates interested. Should we not get enough delegates, we will refund or credit your paid booking.
Should you need this course urgently, the following options are available:
For clients who want to enjoy the convenience of public transport, consider the Gautrain.
For more information you can download the official Gautrain brochure.