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:
|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
Differentiation and Integration
Ordinary differential equations
Series expansions and plotting
Linear equations and matrix inversion
Non linear equations
Output: LATEX interface and pretty-printing
Convert from array to list or tuple
Standard Linear Algebra operations
Numpy for Matlab users
Matplotlib 2D plotting
Matplotlib and Pylab
Fine tuning your plot
Plotting more than one curve
Visualising matrix data
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
Supervised Learning, Naive Bayes, Decision Trees, Random Forests.
To apply for a booking, click on the relevant "Book Now" button below.
Note: places are only fully secured once payment has been made.
|Start Date||End Date||Branch||Status|
|Mon 29 Mar 2021||Tue 30 Mar 2021||Woodmead||Provisional|
|Mon 28 Jun 2021||Tue 29 Jun 2021||Woodmead||Provisional|
|Mon 20 Sep 2021||Tue 21 Sep 2021||Woodmead||Provisional|