Comprehensive Full-Stack Data Science Bootcamp

Course Objectives

The Full-Stack Data Science Bootcamp is an intensive program designed to provide participants with end-to-end knowledge and skills in data science. This bootcamp covers the complete data science lifecycle, from data collection and preprocessing to model deployment and visualization. Participants will gain proficiency in various tools and technologies essential for modern data science, enabling them to manage data projects independently and contribute effectively to data-driven decision-making processes.

By the end of this Bootcamp, participants will:

• Master the fundamentals of data science and machine learning.
• Develop skills in data collection, cleaning, and preprocessing.
• Build, evaluate, and optimize predictive models using advanced algorithms.
• Learn to visualize data insights effectively.
• Understand how to deploy data science models into production environments.

Course Outline

Module 1: Introduction to Data Science and the Data Science Workflow

• Overview of data science: Concepts, tools, and applications
• Introduction to Python and R for data science
• Setting up the data science environment: Jupyter, Anaconda, and essential libraries

Module 2: Data Collection and Preprocessing

• Data collection techniques: Web scraping, APIs, and data integration
• Data cleaning and preprocessing: Handling missing data, normalization, and feature engineering
• Exploratory data analysis (EDA) with Pandas, Numpy, and Matplotlib

Module 3: Machine Learning and Model Development

• Supervised learning: Regression, classification, and evaluation metrics
• Unsupervised learning: Clustering, dimensionality reduction, and anomaly detection
• Advanced machine learning techniques: Random forests, boosting, and neural networks

Module 4: Data Visualization and Storytelling

• Data visualization principles and tools: Matplotlib, Seaborn, and Plotly
• Interactive dashboards with Tableau and Power BI
• Effective storytelling with data: Communicating insights to stakeholders

Module 5: Model Deployment and Full-Stack Integration

• Model deployment strategies: Flask, Docker, and cloud platforms
• Monitoring and maintaining models in production
• Case studies and real-world applications: Deploying models in various industries

Target Group

This Bootcamp is ideal for professionals, aspiring data scientists, and engineers who wish to develop comprehensive skills in data science. It is particularly suited for individuals looking to transition into data science roles, enhance their technical capabilities, or lead data science projects. The bootcamp is also beneficial for those aiming to integrate data science into their business operations, enabling them to make data-driven decisions and create innovative solutions.

Course Cost

• 5-Day Training: €3,700
• 10-Day Training: €6,500

The course fee includes all training materials, access to online resources, and a certificate of completion. Discounts for group enrollments are available upon request.

This Bootcamp is available on different dates upon request, allowing participants to choose a schedule that fits their needs.

Organizers

This Bootcamp is organized by the Geneva Institute of Business Management in collaboration with its esteemed partners across Europe. The Institute is renowned for delivering high-quality training programs that prepare professionals for the challenges of modern data science.