Conference 2019-12-09 12:00 a.m. 2019-12-13 12:00 a.m.
Course Name: Python for Data Analysis and Visualization
Venue: Tech for Development Training Center, Nairobi, Kenya
Event Date: 9th to 13th Dec, 2019
Course Fee: KES 75,000 OR USD 1,100
Online Registration: Register here
Data analysis is the process of evaluating data using analytical and statistical tools to discover useful information and aid in decision making. There are several data analysis methods including data mining, text analytics, business intelligence and data visualization.
Data is everywhere. That means more companies are tracking, analyzing, and using the insights they find to make better decisions. In this course, you’ll learn the fundamentals of data analysis and visualization while building Python skills
This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more.
Who Should Attend
By the end of this course participants will be able to:
Data Wrangling - Cleaning and Preparing the Data
Exploratory Data Analysis
Working with Data in Python
The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in Data Science and programming.
All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Upon successful completion of this training, participants will be issued with a certificate of participation.
This training course can also be tailored for your organization. This way, your organization will benefit by:
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Need more information? Kindly visit this link to see answers to frequently asked questions.
How to participate
Customer Relationship Officer,
Tech For Development
Innovation for impact