Training Course on Epidemiological Data Analysis with Python for Public Health Professionals

Course Outline

Module 1: Python Fundamentals and Introduction to Python Classes

ü  Setting up the Python environment (Jupyter Notebooks)

ü  Core Python concepts: variables, data types, and functions

ü  Understanding and creating a Python class

ü  Object-oriented programming principles

ü  Practical Session: Building a simple Python class to represent a patient record

Module 2: Data Wrangling for Epidemiological Datasets

ü  Introduction to the Pandas library

ü  Importing and exporting data (CSV, Excel, etc.)

ü  Cleaning messy epidemiological data

ü  Merging and combining datasets

ü  Practical Session: Data cleaning and preprocessing a public health dataset

Module 3: Data Visualization in Epidemiology

ü  Introduction to Matplotlib and Seaborn

ü  Creating line plots, bar charts, and scatter plots

ü  Visualizing disease trends and distributions

ü  Designing effective and clear visualizations

ü  Practical Session: Visualizing disease incidence over time and across different demographics

Module 4: Foundational Statistics with Python

ü  Descriptive statistics and summary measures

ü  Probability distributions and sampling

ü  Hypothesis testing with SciPy

ü  Calculating confidence intervals and p-values

ü  Practical Session: Performing statistical tests on a cohort study dataset

Module 5: Regression and Risk Analysis

ü  Introduction to regression models (linear, logistic)

ü  Interpreting odds ratios and risk ratios

ü  Building a logistic regression model for disease risk

ü  Assessing model performance

ü  Practical Session: Predicting disease risk using logistic regression

Module 6: Survival Analysis and Time-to-Event Data

ü  Understanding survival analysis concepts

ü  The Kaplan-Meier estimator and log-rank test

ü  Building a Cox proportional hazards model

ü  Interpreting hazard ratios

ü  Practical Session: Analyzing a patient survival dataset

Module 7: Introduction to Infectious Disease Modeling

ü  The basics of compartmental models (SIR, SEIR)

ü  Implementing an SIR model in Python

ü  Simulating an epidemic outbreak

ü  Understanding the role of parameters like R0

ü  Practical Session: Simulating an epidemic outbreak using an SIR model

Module 8: Geospatial Epidemiology with Python

ü  Introduction to spatial data and shapefiles

ü  Visualizing disease maps with Geopandas

ü  Identifying disease clusters and hot spots

ü  Spatial autocorrelation analysis (Moran's I)

ü  Practical Session: Mapping and analyzing a disease outbreak geographically

Module 9: Advanced Topics in Python Epidemiology

ü  Time series forecasting for public health data

ü  Introduction to machine learning for public health

ü  Handling missing data in epidemiological studies

ü  Anomaly detection in surveillance data

ü  Practical Session: Forecasting disease cases using time series models

Module 10: Building an Epidemiological Project

ü  Defining a public health research question

ü  Data acquisition and project planning

ü  Applying learned skills to a complete project

ü  Presenting your findings and communicating insights

ü  Practical Session: Final project presentation and peer review

About Our Trainers

Our trainers are seasoned public health researchers and data scientists with extensive expertise in both epidemiology and Python programming. They hold advanced degrees in public health and biostatistics and have practical experience working with leading public health organizations. Their dual background ensures a curriculum that is both academically rigorous and highly relevant to real-world epidemiological challenges.

Quality Statement

We are dedicated to providing a high-quality, impactful learning experience. Our courses are meticulously designed and regularly updated to incorporate the latest developments in Python epidemiology. We maintain a low instructor-to-student ratio to ensure personalized attention and foster an engaging and supportive learning environment.

Admission Criteria

ü  Participants should be reasonably proficient in English. 

ü  Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free
2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.
3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.
4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254737296202

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, 5 days to the training.
2. Invoice: We can send a bill directly to you or your company.
3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
2. Participants may cancel attendance 14 days or more prior to the training commencement date.
3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor-Made Courses

We understand that every organization has unique challenges and opportunities as well as unique training needs. Phoenix Training Center offers tailor-made courses designed to address specific requirements and challenges faced by your team or organization. Whether you need a customized curriculum, a specific duration, or on-site delivery, we can adapt our expertise to provide a training solution that perfectly aligns with your objectives. We can customize this Course to focus on your industry, specific risk profile, or internal stakeholder dynamics. Contact us to discuss how we can create a bespoke training program that maximizes value and impact for your team. For further inquiries, please contact us on Tel: +254720272325 / +254737296202 or Email training@phoenixtrainingcenter.com

Accommodation and Airport Pick-up

For physical training attendees, we can assist with recommendations for accommodation near the training venue. Airport pick-up services can also be arranged upon request to ensure a smooth arrival. Please inform us of your travel details in advance if you require these services. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737296202