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
To apply for a booking, click on the relevant "Book Now" button below.
Note: places are only fully secured once payment has been made.
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.
Start Date | End Date | Branch | Status | |
---|---|---|---|---|
Thu 30 Jun 2022 | Fri 1 Jul 2022 | Not Applicable | Provisional |