Python for Data Analysis and Visualization

Course Name: Python for Data Analysis and Visualization

Venue: Tech for Development Training Center, Nairobi, Kenya

Event Date: 9th to 13th December 2019

Course Fee: KES 75,000 OR USD 1,100

Registration: Register online

Tech For Development-T4D would like to invite you to a high impact Training Course in Python for Data Analysis and Visualization to be held in Nairobi, Kenya from 9th to 13th December 2019.

Why T4D?

We are an international training, capacity building and tech solutions organization that offers tech solutions, scheduled and tailor made training and capacity building solutions to individuals and development agencies in Africa and around the world.

We provide our training programs with a capacity-building goal, so as to ensure that, our training programs contribute to sustainable change.

This course is suitable for people working in:

Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugees/displaced.


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

Data anlysists and Business analysts

People looking to learn a more powerful software for data analysis

Anyone interested in learning more about python, data science, or data visualizations.

Anyone interested about the rapidly expanding world of data science.


Have a computer (either Mac, Windows, or Linux)

Basic to intermediate knowledge in data management and analysis

Desire to learn


5 Days

Learning Outcomes

By the end of this course participants will be able to:

Import data sets

Clean and prepare data for analysis

Know how to use pandas to create and analyze data sets.

Manipulate pandas DataFrame

Analyze, Visualize and present data

Build data pipelines

Course Content

Module I

Importing Datasets

Understanding the Domain

Understanding the Dataset

Python package for data science

Importing and Exporting Data in Python

Basic Insights from Datasets

Getting Started Analyzing Data in Python

Module II

Data Wrangling - Cleaning and Preparing the Data

Pre-processing data in Python

Identify and Handle Missing Values in Python

Data Formatting

Data Normalization Sets

Binning in Python

Indicator variables

Turning categorical variables into quantitative variables in Python

Module III

Exploratory Data Analysis

Descriptive Statistics

GroupBy in Python

Analysis of Variance - ANOVA


Correlation - Statistics

Module IV

Model Development

Simple and Multiple Linear Regression

Model Evaluation using Visualization

Polynomial Regression and Pipelines

R-squared and MSE for In-Sample Evaluation

Prediction and Decision Making

Module V

Working with Data in Python

Model Evaluation

Over Fitting, Under fitting and Model Selection

Ridge Regression

Grid Search

Model Refinement

Action Plan


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.

Training venue

The training is residential and will be held at T4D Training Centre in Westlands Nairobi, Kenya. The course fees cover the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

Tailor- made

We can also tailor-make our courses for you. This way, you/your organization will benefit by:

Using own tools during the training

Being able to choose areas of interest you wish the trainer to put more emphasis on

Taking the course in-house or at a venue of choice

Cutting on the cost of transport and accommodation

For further inquiries, please contact us on details below:

Email: [email protected]

Mobile: +254 (0) 729166479


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: [email protected]

Mobile Number: +254 706909947

Training fee

The course fee is KES 75,000.00 or USD 1,100.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.


Payment should be transferred to Tech For Development - T4D account through bank on or before the course starting date.

Send proof of payment to [email protected]

Cancellation policy

Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

Participants may cancel attendance 14 days or more prior to the training commencement date.

No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met


Kindly visit this link to see video and photo testimonials of our previous training events.


Need more information? Kindly visit this link to see answers to frequently asked questions.

Contact information

Tel: +254 706909947
Email: [email protected]

Kind regards.

Kelvin K. Mwangi
Customer Relationship Officer,
Tech For Development.
Innovation for impact