Course Description
This multi-course track will give you the tools you need to analyze data and make data-driven business decisions, leveraging python, data science, and statistical analysis. You will learn Python as well as machine learning and neural networks. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making. Take this series to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning.
This hands-on, case study-based course is for those who want to acquire practical skills for solving real world data problems. In these classes, gain practical experience and produce real-world projects in interactive labs. If you're in a data analyst or data scientist role or are pursuing a career in data science and want to expand your skills, this is the series for you.
PYT510 - Python for Data Science: An Applied Case Study Approach
24 Hours | 2.4 CEUs | $2,695
- Python for Data Science: An Applied Case Study Approach is the first course in the series. In this course, through guided lectures and labs, students will learn Python for data science, including Python Functions, String, List, Set and Dictionary, and Packages, and get hands-on experience tackling interesting data problems from start to finish.
PYT520 - Data Wrangling with Python: An Applied Case Study Approach
24 Hours | 2.4 CEUs | $2,695
- Data Wrangling with Python: An Applied Case Study Approach is the second course in the series. In this course, follow the data pipeline and learn to use Python to extract and transform data from a variety of sources via guided lectures and labs. Students will learn data collection, integration, understanding as well as data visualization, data processing, and how to apply it all to a project.
PYT530 - Data Analysis, Machine Learning and AI with Python: An Applied Case Study Approach
24 Hours | 2.4 CEUs | $2,695
- Data Analysis, Machine Learning and AI with Python: An Applied Case Study Approach is the third course in the series. In this course, learn to use data analysis, Machine Learning and Neural networks. More specifically, students will learn classification, regression, ensemble methods, clustering, dimension reduction, and how to apply all of these tools and skills to decision making and a successful project.
Classes are delivered in Central Time Zone and class times are notated on each course link.
Corporate discounts are applied in the cart / checkout.
*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.