I’m currently creating a series of data science courses with Maven Analytics that can be purchased through Udemy.
———
Data Science in Python: Data Prep & EDA
This is the first course in the Data Science in Python series. It covers how to scope a project, gather / clean / explore data, and prepare a data set for modeling — basically everything you need to know from the start of a data science project up to just before you start modeling.
If you’re looking to kick off your data science journey, this is a great place to start! To purchase the Data Science in Python: Data Prep & EDA course at a discount, you can use this referral link.
———
Data Science in Python: Unsupervised Learning
This is the fourth course in the Data Science in Python series. It covers clustering, dimensionality reduction, anomaly detection and recommender algorithms including K-Means Clustering, Hierarchical Clustering, DBSCAN, PCA, T-SNE, Isolation Forests, SVD and more.
If you’re an aspiring or experienced data scientist looking to brush up on your unsupervised learning skills, this is a great comprehensive guide. To purchase the Data Science in Python: Unsupervised Learning course at a discount, you can use this referral link.
———
Data Science in Python: Natural Language Processing (In Progress)
I’m currently working on this course. More details coming soon!
