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Python Basics & Beyond:

Intro to Data Analysis with Python

Want to learn Python with expert guidance and a supportive community? 

In this 12-week part-time course, you’ll join experienced instructors and like-minded peers to build in-demand programming skills, develop a portfolio of data projects, and earn a certificate to showcase your achievements. The course includes:

  • Live weekly workshops with exercises in VSCode
  • Projects with industry and research datasets to build your portfolio
  • Personalized code reviews and mentorship
  • Modern curriculum with Pandas, Plotly, Quarto Dashboards & GitHub
  • Hands-on practice using AI models in Python projects
  • 4 ECTS credits (for partner university students)

Is this course for you?

The course is ideal for professionals or students in business, academia or tech. No prior experience needed; just a computer and a desire to learn.

Tuition: $175 per month (x3 months)

Financial hardship scholarships available.
Indicate your need in the standard enrollment form.

We offer a generous 1-month full refund policy so you can try the course risk-free.

Course Structure

Duration

12 weeks

Next Start Date

January 2026

Location

Online classroom

Weekly 2-hr workshops (pick one session)

Saturdays 5pm GMT (check local time) or
Mondays 3pm GMT (check local time)

Register Interest in Next Cohort
Speak to an Advisor
Download Brochure

Hear from GRAPH Graduates

One of the best statistical and visualization courses I have ever taken. I enjoyed the focus on live in-class instruction through exercises with other students around the globe.
Meron AsfahaData Scientist, CDC
Meron Asfaha
What I enjoyed most were the weekly workshops, where you get to interact and learn from other students.
Ester NepoloMonitoring & Evaluation Officer, Global Fund
Ester Nepolo
I had tried previous courses before, but struggled to apply the concepts. After learning with The Graph Courses, I feel much more comfortable exploring, visualizing and analyzing data.
Saifeldin ShehataData Scientist, Fios Genomics
Saifeldin Shehata
The course created a safe environment for learning, communicating with other people, and discussing solutions. I learned a great deal.
Julia WaibelPhD statistician, UHZ Germany
Julia Waibel
The bootcamp added a remarkable depth to my understanding. The passion for teaching and expertise is truly inspirational.
Daniel AsratData Scientist, HDR UK
Daniel Asrat

Course Modules

Python Foundations

Build a strong core. Learn the basics of Python programming, VSCode, Quarto and data exploration, while collaborating with your peers on hands-on data projects.

DURATION: 2 weeks

TOPICS
Coding Basics, Data Structures, Error Management, Quarto Documents, VSCode, ChatGPT.

Data Visualization with Plotly

Learn to communicate complex findings with clarity and impact. Develop the skills to create stunning data visualizations with the most popular interactive data viz library, plotly.

DURATION: 2 weeks

TOPICS 
Grammar of graphics, geometric shapes, aesthetics, themes, scales, labels

Data Manipulation with Pandas

Learn to handle messy data with ease. Master pandas functions for manipulating datasets, and build the skills to clean, filter, and transform data for analysis and visualization.

DURATION: 4 weeks

TOPICS 
Subsetting data, mutating, conditional operations, grouped data, pivoting

Collaboration with Git & GitHub

Master collaborative workflows and project management. Learn the fundamentals of Git and GitHub, and deploy your projects as web pages or dashboards using GitHub Pages and Quarto websites.

DURATION: 2 weeks

TOPICS 
Basic Git & GitHub introduction, merging and conflict resolution, deploying web pages

Capstone Project

Showcase your data analysis expertise. Employ data wrangling, visualization, and analysis techniques to a chosen case study and deduce actionable insights from your analysis.

DURATION: 2 weeks

TOPICS 
Data cleaning, survey data exploration, dictionaries, results communication

Our Approach

Supportive Community

Online learning can be isolating. Our live classes and study halls create a vibrant community of aspiring data analysts. 

  • Rich peer interactions in our videoconferencing classroom
  • Online groups, forums, teams: get all the support you need
  • Improve your skills with constructive feedback from instructors

– Hello from a recent cohort!

– An example page from a student’s capstone Project

Hands-on Learning

Theory is important, but application is key. Throughout the course, you’ll work on real-world projects that demonstrate your growing skills to potential employers.

  • Weekly quizzes and coding challenges to reinforce concepts
  • Timely feedback on your work for targeted improvement
  • Comprehensive capstone project

Modern Curriculum

There is a lot to learn in the Python space. Figuring out what’s essential can be challenging. Our experts have curated a focused curriculum that covers the most important and up-to-date aspects of Python for data analysis.

  • Master essential Python libraries like Pandas and Plotly
  • Build reproducible reports and dashboards with Quarto
  • Learn to use AI tools like ChatGPT to accelerate your coding​

Course Creators & Tutors

Meet our passionate team of data analysis professionals. 

Prof. Olivia Keiser

Course Advisor

Head of the Mathematical Modelling & Infectious Diseases Division, University of Geneva; GRAPH Network Director

Dr Sara Botero Mesa

Course Advisor

Scientific Collaborator at the University of Geneva | COO  of the GRAPH Network

Kenechukwu Nwosu

Course creator & Tutor

Research Assistant at the University of Geneva; GRAPH Courses Director

Joy Vaz

Instructional lead

GRAPH Network Training Coordinator and Instructor

Camille Valera

Course Creator & Tutor

Project Manager and Scientific Collaborator, the GRAPH Network

sabina Rodriguez Velásquez

Course Creator & Tutor

Project Manager and Scientific Collaborator, the GRAPH Network

Santiago Sotelo

Course Instructor

Data Scientist at PUCP; GRAPH Courses Tutor

Prof. Flavio Coelho

Course Advisor

Associate professor of Mathematical Epidemiology Getulio Vargas Foundation, Rio de Janeiro; EpiGraphHub Director

Dr. Guy Sadeu Wafeu

Course creator & Tutor

Dept. of Internal Medicine, University of Yaounde; GRAPH Courses Tutor. 

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