Data Modelling with M and Power Query
Linux Point and Click Admin
Linux Shell Commands
Linux System Administration 1
Linux System Administration 2
Microsoft Azure Administrator
Microsoft Power BI Boot Camp
Microsoft Power BI Desktop Advanced Course
Microsoft Power Query
Microsoft PowerBI Dashboard User Course
Network Security Penetration Testing
Python for Engineers and Scientists
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 six 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||Get a Quote|
|Webinar||2 Days||R 4,600.00||Get a Quote|
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.
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: