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.
Introduction
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.
Requirements
Have a computer (either Mac, Windows, or Linux)
Basic to intermediate knowledge in data management and analysis
Desire to learn
Duration
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
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
Methodology
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.
Accreditation
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
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
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
Testimonials
Kindly visit this link to see video and photo testimonials of our previous training events.
FAQS
Need more information? Kindly visit this link to see answers to frequently asked questions.
Contact information
Tel: +254 706909947
Email: [email protected]
Website: www.t4d.co.ke
Kind regards.
Kelvin K. Mwangi
Customer Relationship Officer,
Tech For Development.
Innovation for impact