Head Office: Tala Road, Runda - Nairobi

Advanced Data Analysis for Healthcare using Python

Duration: Advanced
Category: Data Analysis

Gain the skills you need to advance your career. This course offers hands-on learning, expert guidance, and real-world applications designed to help you grow.

Course Info
Course thumbnail image Advanced Data Analysis for Healthcare using Python on indepth research institute website
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Course Introduction 

This course is designed for healthcare professionals, researchers, and data analysts aiming to enhance their data analysis skills using Python. Participants will explore advanced techniques in statistical analysis, machine learning, and data visualization, with a specific focus on applications in the healthcare domain. 

Duration: 10 Days 


Course Level: Advanced

Course Outline

Course Objectives: 

  1. Develop advanced proficiency in Python programming for healthcare data analysis. 
  2. Explore statistical analysis techniques tailored for healthcare research. 

  3. Implement machine learning models for predictive analytics in healthcare. 

  4. Master data visualization tools and techniques for healthcare datasets. 


Course Modules

Course Modules: 

Module 1: Python Fundamentals for Healthcare Data Analysis 

  • Review of Python basics. 

  • Introduction to libraries (NumPy, Pandas) for data manipulation. 

  • Hands-on exercises with healthcare datasets. 

Module 2: Advanced Statistical Analysis with Python 

  • Implementing statistical tests using Python. 

  • Exploratory data analysis (EDA) techniques for healthcare datasets. 

  • Practical applications in healthcare research. 

Module 3: Machine Learning Basics with Scikit-Learn 

  • Overview of machine learning in Python. 

  • Introduction to Scikit-Learn for healthcare applications. 

  • Building and evaluating machine learning models. 

Module 4: Predictive Modelling in Healthcare with Python 

  • Feature engineering for healthcare data. 

  • Developing predictive models using Python. 

  • Tuning and optimizing machine learning models. 

Module 5: Data Visualization for Healthcare Analysis with Matplotlib and Seaborn 

  • Creating impactful visualizations for healthcare data. 

  • Interactive visualizations with Plotly. 

  • Design principles for effective data communication in healthcare. 

Course Administration Details

Methodology

These instructor-led training sessions are delivered using a blended learning approach and include:

  1. Presentations
  2. Guided practical exercises
  3. Web-based tutorials
  4. Group work
Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. This course can be offered in any language of your choice

Accreditation

Upon successful completion of this training, participants will be issued a certificate of course completion by Indepth Research Institute (IRES), certified by National Industrial Training Authority (NITA) or relevant certification body.

Training Venue

The training will be offered at the IRES Training Centre indicated on the schedule. The course fee covers course tuition, training materials, two break refreshments, and lunch. All participants will cater for their travel expenses, visa application, insurance, and other personal expenses.

Accommodation and Airport Transfer

Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer:

Tailor-Made

Upon request, the content, location and duration of this course can be tailored to suit your individual or organizational needs.

Payment

Payment should be transferred to the IRES account through a bank on or before the start of the course.Send proof of payment to: outreach@indepthresearch.org


Course Registration

Click here to register for this course.

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Customized Schedule is available for all courses irrespective of dates on the Calendar. Please get in touch with us for details.

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Training Calender

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Training Calender

Course Schedules

We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.

June 2026

Date Duration Mode Standard Fee Action
18 Jun - 1 Jul 10 days Nairobi KES 189,000 | $2,700 Individual Group

September 2026

Date Duration Mode Standard Fee Action
8 Sep - 21 Sep 10 days Mombasa KES 199,000 | $2,700 Individual Group

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Personal Information

Training Details

Advanced Data Analysis for Healthcare using Python

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