Quantitative Data Analysis and Visualization using Python Training Course

2 years ago Posted By : User Ref No: WURUR118892 0
  • Image
  • TypeWorkshop
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 16-01-2023 - 21-01-2023
Workshop Title
Quantitative Data Analysis and Visualization using Python Training Course
Event Type
Workshop
Workshop Date
16-01-2023 to 21-01-2023
Last Date for Applying
16-01-2023
Location
Nairobi, Kenya
Organization Name / Organize By
Vital Extra Learning
Organizing/Related Departments
Training
Organization Type
Organization
WorkshopCategory
Both (Technical & Non Technical)
WorkshopLevel
International
Related Industries

Education/Teaching/Training/Development

Research/Science

Information Technology

Computer/Technology

Location
Nairobi, Kenya

Course Title: Quantitative Data Analysis and Visualization using Python Training Course

Course Venue: Nairobi, Kenya

Duration: 5 Days

Dates:

16/01/2023 - 20/01/2023 : CLICK HERE

13/02/2023 - 17/02/2023 : CLICK HERE

Fee: $ 950

You can email through [email protected] or contract +234(0)803 806 6705 / +254 707 053 111

INTRODUCTION

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

Registration Fees
Available
Registration Fees Details
$ 950
Registration Ways
Email
Phone
Website
Address/Venue
Nairobi, Kenya  [email protected] 
Contact