In this course, Data Analysis, Machine Learning and AI with Python: An Applied Case Study Approach, learn to use data analysis, Machine Learning and Neural networks to solve real world problems. Students will learn Data Analysis, Machine Learning and AI with Python and get hands-on experience tackling interesting data problems from start to finish.
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. Data Analysis, Machine Learning and AI with Python: An Applied Case Study Approach is the third course in the series.
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 then this is the series for you.
PYT530 is the third course in the Applied Data Science, Machine Learning, and Artificial Intelligence Using Python Certificate. To complete the certificate students will also enroll in PYT510, & PYT520. Click on each course link for more details and to add to cart.
a. Meeting 1: Classification
b. Meeting 2: Regression
c. Meeting 3: Ensemble Methods
d. Meeting 4: Clustering, Dimension Reduction
e. Meeting 5: Outliers, Introduction to Neural Networks
f. Meeting 6: Project
Duration3 days | 6 nights
*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.