Course Description
Python has been one of the premier flexible and powerful open-source language that is easy to learn easy to use and has powerful libraries for data manipulation and analysis. This training is a step by step guide to Python and Statistical Data Analysis with extensive hands on. The course is delivered with several activity problems assignments and scenarios that help participants gain practical experience in data handling analysis interpretation as well as reporting. This course starts by exploring basic statistics such as mean median and mode and commence to advanced exploratory features such as groups comparisons regression test of relationships classification clustering just to mention a few.
Learning outcomes
By the end of this course the participants will be able to:
• Easily read and write files of various types in to a Python program.
• Identify and fix errors in datasets.
• Work with Python 'modules' and use them for data analysis tasks
• Use libraries like pandas numpy matplotlib scikit and master the concepts like Python machine learning scripts and sequence.
• Gain high level skills on statistical results interpretation and report writing.
Who should enroll?
The course is useful for professionals who use data as part of their work and who need to make decisions from data analysis. Those with prior understanding of programming and statistics finds it easier to take this course.
Send an email to [email protected] to request a course training agenda
Why train with us
Vital Extra Learning guarantees our clients:
• State-of-the-art facilities and training infrastructure
• Extended tradition of hand-holding during post engagement
• Service delivery through highly seasoned industry experts.
• Value for money
Event Venue
Kigali, Rwanda
USD 750.00