Data Science I
This course is an introduction to data science in Python. You’ll use advanced visualization and predictive modeling tools to turn raw data into actionable insights. You will also learn how to use SQL to navigate databases.
Course Topics
Python Foundations for Data Science
Introducing the power of Python for advanced data analytics, laying the groundwork for basic object-oriented programming tasks tailored for data-centric operations.
Data Management with Python
Mastering the techniques to load, join, clean, and analyze datasets using Python, ensuring a robust data foundation for subsequent analysis.
Advanced Data Visualization in Python
Diving deep into data visualization techniques specific to Python, teaching students to generate insightful visuals for large and complex data sets.
Integrating SQL with Python
Understanding the synergy between Python and SQL, guiding students on navigating database schemas and extracting data from relational databases seamlessly.
Machine Learning Foundations in Python
Exploring Python’s rich library ecosystem to train basic machine learning models, and generating predictive insights from structured data.
300
Disclosure
This course is delivered online through an institution of the Lower Cost Models Consortium (LCMC) that is different than your degree-granting institution that awards the academic credit for the course.
