Online / Part-Time
Data Science &
Machine Learning
Join us to take the first step towards a better future!
OVERVIEW
Learn Data Science Online in 16 Weeks
Dive deep into the world of Data Science and Machine Learning with Python in just 16 weeks.
Master the full data science lifecycle, from data preparation and cleaning to analysis, visualization, and applying powerful machine learning algorithms to solve real-world challenges.
By the end of the program, you’ll have a strong project portfolio that demonstrates your skills and a solid understanding of one of today’s fastest-growing and most in-demand career fields.
Want to know more about the academy & the course?
Join our online webinar to have an Introductory meeting about the Program
COURSE OUTLINE
Bootcamp Overview
This bootcamp is a deep dive into the fundamentals of data science and machine learning in Python. You’ll walk away with a portfolio of projects showcasing your data science acumen to prospective employers!
Data Science Fundamentals
Week 1-4
- WEEK 1 | Introduction to Python for Data Science
Learn the Python fundamentals needed for data science. - WEEK 2 | Pandas for Data Manipulation
Learn how to load, clean, and manipulate data using the Python library Pandas - WEEK 3 | Exploratory Data Visualization
Exploratory Data Analysis (EDA) using Seaborn & Matplotlib - WEEK 4 | Explanatory Data Visualization
Create and customize plots for explanatory visualizations, Create high quality visuals for reporting
Introduction to Machine Learning
week 5-8
- WEEK 5 | Introduction to Machine Learning and Pre-processing
What is machine learning and its types. Formatting and preprocessing for supervised Machine Learning. - WEEK 6 | Regression Models
Learn about the linear regression algorithm and tree-based machine learning algorithms such as Random Forest. - WEEK 7 | Classification Models
Train classification models such as KNN and logistic regression. And learn how to evaluate classification models. - WEEK 8 | Model Insights
Model Optimization. Extract, visualize, and interpret model insights.
Intermediate Machine learning
week 9-12
- WEEK 9 | Dimensionality Reduction
Improve visualizing data with high dimensionality and improve supervised learning performance. - WEEK 10 | Unsupervised Learning – Clustering
Develop, evaluate, and perform explanatory analysis of Clusters. - WEEK 11 | Introduction to Deep Learning
Deep Learning: conceptualize, design, and evaluate common terminology with neural network. - WEEK 12 | CNN & Computer Vision
Prepare and apply image data using convolutional neural networks (CNNs).
Data Visualization
week 13-16
- WEEK 13 | Time Series Analysis
Learn how to run time series analysis in python. - WEEK 14 | Time Series Forecasting
Applying Machine Learning to forecast Time Series data for both short and long term. - WEEK 15 | Intro to Tableau
Perform analysis and quality visualizations in Tablea. - WEEK 16 | Dashboards in Tableau
Create interactive, responsive dashboards within Tableau.
Prepare for a New Career !
OUTCOMES
What will you gain
by the end of the program
🎓
A certificate
Congratulations! You’ve made it. You should be proud of this achievement! and what better way to celebrate a new skill such as this one than by having a brand new certificate from one the industry’s most renowned websites.
💻
A brand new job
The skills that you’ve gained over the past 4 months have prepared you for this! and you are more than ready to take on this challenge.
prepare yourself to go through numerous interviews to finally land that job you’ve been dreaming of having!
🌐
A network
You and your classmates will be the ones building the future so building a network of people in the industry is a must!
In addition to that, you’ll be linked with expers from the tech world, and who knows, maybe you’ll make a life long friend along the way!
HOW TO APPLY
Upcoming Program Dates
Be part of an unique experience and change your life forever
Starts Jan 2026
4 seats left
English 
German