Data Science: K-Means Clustering in Python (Training)

Colleagues, the Data Science: K-Means Clustering in Python program will equip you in mathematics, statistics and programming skills that are necessary for typical data analysis tasks. You will consider these fundamental concepts on an example data clustering task, and you will use this example to learn basic programming skills that are necessary for mastering Data Science techniques. During the course, you will be asked to do a series of mathematical and programming exercises and a small data clustering project for a given dataset. Define and explain the key concepts of data clustering, Demonstrate understanding of the key constructs and features of the Python language, Implement in Python the principle steps of the K-means algorithm while Designing and executing a whole data clustering workflow and interpret the outputs. Gain high-demand data science skills in K-Means Clustering, Machine Learning and Programming in Python. Training modules include: 1)  Foundations of Data Science: K-Means Clustering in Python, 2) Means and Deviations in Mathematics and Python, 3) Moving from One to Two Dimensional Data, 4) Introducing Pandas and Using K-Means to Analyse Data, and 5) A Data Clustering In-Class Project. 

Enroll today (individuals & teams welcome): https://tinyurl.com/2uuhjjr9 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy