Data Science Fundamentals With R, Python, and Open Data

Build a strong foundation in data science with our comprehensive Data science fundamentals course. This hands-on training covers essential concepts using R, Python, and open data sources, making it ideal for beginners, analysts, and aspiring data scientists looking to develop practical skills in data analysis, visualization, and machine learning.

What You’ll Learn

• Core concepts of data science and its applications
• Data manipulation and analysis with Python and R
• Using open data sources for real-world projects
• Exploratory data analysis and data visualization
• Building predictive models with machine learning
• Handling big data and automation in data science workflows
• Best practices for data cleaning, transformation, and reporting

Requirements

• Basic understanding of mathematics and statistics
• Familiarity with Excel or spreadsheet tools (helpful but not required)
• Willingness to learn Python and R programming

Course Description

This Data science fundamentals course is designed to provide learners with a structured approach to understanding data science. Whether you’re new to coding or looking to expand your analytical skills, this course will help you grasp key concepts through hands-on projects and open datasets.

You’ll explore data wrangling techniques using Python (pandas, NumPy) and R (dplyr, ggplot2), apply statistical methods for decision-making, and build machine learning models for predictive analytics. With a focus on open data sources, you’ll gain real-world experience working with datasets from government, finance, and healthcare.

By the end of this course, you will have the confidence to analyze data, create visualizations, and develop machine learning models using Python and R, preparing you for a career in data science.

About the Publication

This course is created by experienced data scientists and educators who specialize in practical, hands-on learning. It is structured to make complex topics accessible to beginners while offering advanced insights for those looking to deepen their expertise.

Explore These Valuable Resources

• Data.gov – Open Government Data
• The Comprehensive R Archive Network (CRAN)
• Scikit-Learn – Machine Learning in Python

Explore Related Courses

• Python for Data Analysis
• R for Statistical Computing
• Machine Learning with Python
• Data Visualization with R
• Big Data Fundamentals