Diploma in Comprehensive Data Science for Beginners

Diploma Objectives

The Comprehensive Data Science for Beginners diploma is designed to provide a solid foundation in data science for those new to the field. This program covers essential concepts, tools, and techniques in data science, focusing on practical applications that prepare participants for real-world challenges. Through hands-on learning with Python, SQL, and R, participants will acquire the skills needed to analyze data, build predictive models, and derive insights that drive decision-making.

By the end of this diploma, participants will:

• Understand the core principles of data science and its applications across industries.
• Gain proficiency in essential data science tools: Python, SQL, and R.
• Learn to collect, clean, and preprocess data for analysis.
• Develop basic predictive models using machine learning algorithms.
• Enhance their ability to visualize and communicate data-driven insights.

Diploma Outline

Module 1: Introduction to Data Science

• Overview of data science: History, applications, and current trends
• Introduction to Python, SQL, and R: Setup and basic commands
• Data science workflow: From data collection to actionable insights

Module 2: Data Collection and Preprocessing

• Data sources: Gathering data from databases, APIs, and CSV files
• Data cleaning: Handling missing data, outliers, and inconsistencies
• Data preprocessing: Feature scaling, encoding categorical variables, and data normalization

Module 3: Exploratory Data Analysis (EDA)

• Introduction to exploratory data analysis: Understanding data patterns
• Descriptive statistics: Mean, median, mode, variance, and standard deviation
• Data visualization: Creating basic plots and graphs using Python’s Matplotlib and R’s ggplot2

Module 4: Introduction to Machine Learning

• Basics of machine learning: Supervised vs. unsupervised learning
• Building simple models: Linear regression, k-nearest neighbors, and clustering
• Model evaluation: Understanding accuracy, precision, recall, and F1 score

Module 5: Practical Applications and Projects

• Real-world case studies: Applying data science to solve industry problems
• Integrating Python, SQL, and R for comprehensive analysis
• Capstone project: Developing a data science project from start to finish

Target Group

This diploma is ideal for individuals who are new to data science and wish to build a strong foundational knowledge. It is suitable for professionals looking to transition into data-related roles, students aspiring to enter the data science field, and anyone interested in understanding how data science can be applied across various industries. No prior experience in data science is required, making this program perfect for beginners.

Cost

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

The program fee includes all necessary training materials, access to online resources, and a certificate of completion. Discounts for groups and early registrations are available upon request.

This diploma is available on different dates upon request, providing flexibility for participants to select a schedule that fits their availability.