Comprehensive Data Science Bootcamp: Python, SQL, and R

Course Objectives

The Comprehensive Data Science Bootcamp is designed to equip participants with the essential skills needed to excel in data science. This intensive program covers the entire data science process, with a focus on three core tools: Python, SQL, and R. Participants will learn how to collect, analyze, and visualize data, develop predictive models, and communicate data-driven insights. This bootcamp provides a hands-on learning experience, preparing individuals to tackle real-world data challenges with confidence.

By the end of this bootcamp, participants will:

• Gain proficiency in Python, SQL, and R for data science applications.
• Master data collection, cleaning, and preprocessing techniques.
• Build and evaluate predictive models using machine learning algorithms.
• Perform data analysis and visualization to uncover actionable insights.
• Develop the ability to communicate findings effectively to stakeholders.

Course Outline

Module 1: Introduction to Data Science and Tools

• Overview of data science: Concepts, applications, and industry trends
• Setting up the environment: Introduction to Python, SQL, and R
• Essential libraries and tools: Pandas, Numpy, Matplotlib, and more

Module 2: Data Collection and Preprocessing

• Data acquisition: SQL queries, web scraping, and APIs
• Data cleaning and preprocessing: Handling missing values, data transformation, and feature engineering
• Exploratory data analysis (EDA) with Python and R

Module 3: Data Analysis and Visualization

• Data analysis techniques: Descriptive statistics, correlation, and hypothesis testing
• Data visualization: Creating impactful visualizations with Python (Matplotlib, Seaborn) and R (ggplot2)
• Advanced visualization tools: Dashboards with SQL-based tools and interactive plots

Module 4: Machine Learning and Predictive Modeling

• Introduction to machine learning: Supervised vs. unsupervised learning
• Model development: Linear regression, decision trees, and clustering
• Model evaluation and optimization: Cross-validation, hyperparameter tuning, and performance metrics

Module 5: Integrating Python, SQL, and R for End-to-End Projects

• Combining Python, SQL, and R for comprehensive data workflows
• Real-world case studies: Solving business problems with data science
• Best practices for deploying data science solutions in production environments

Target Group

This Bootcamp is ideal for professionals, aspiring data scientists, and anyone interested in mastering data science. It is particularly suited for individuals who seek a well-rounded understanding of Python, SQL, and R, and those looking to transition into data science roles. Whether you're a beginner or someone with some experience in data analysis, this course will provide the comprehensive knowledge and skills needed to excel in the field.

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. Group discounts are available upon request.

This bootcamp is available on different dates upon request, allowing participants the flexibility to choose a schedule that aligns with their availability.

Organizers

This course is organized by the Geneva Institute of Business Management in collaboration with its renowned partners across Europe. The Institute is committed to delivering high-quality training that meets the evolving demands of the data science industry.