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Self-Paced Data Analytics Courses
Online, project-based courses to help you build job-ready business intelligence skills.
Machine Learning 4: Unsupervised Learning
Learn the basics of Unsupervised ML, including cluster analysis, association mining, outlier detection & dimensionality reduction
Progress0%
3.5
Josh MacCarty
Josh MacCarty
Machine Learning 1: Data Profiling
Explore and prepare raw data for machine learning, and apply a range of univariate & multivariate data profiling techniques
Progress0%
3.5
Josh MacCarty
Josh MacCarty
Machine Learning 3: Regression
Explore the building blocks of regression and time-series forecasting, and learn how to apply them to real-world projects
Progress0%
4
Josh MacCarty
Josh MacCarty
Machine Learning 2: Classification
Learn powerful classification models for data-driven predictions, including decision trees, logistic regression, KNN, and more
Progress0%
4
Josh MacCarty
Josh MacCarty
Data Science in Python: Data Prep & EDA
Master the foundations of Python for data science, including scoping, data gathering & cleaning, EDA, and feature engineering
Progress0%
14.5
+1
Alice Zhao
Alice Zhao
Data Science in Python: Regression
Master the foundations for regression analysis in Python, including linear & regularized regression, forecasting, and validation & testing
Progress0%
14.5
+1
Chris Bruehl
Chris Bruehl
Data Science in Python: Classification
Master the foundations of classification modeling in Python, including KNN, logistic regression, decision trees, random forests, and GBMs
Progress0%
16
+1
Chris Bruehl
Chris Bruehl
Data Science in Python: Unsupervised Learning
Master the foundations of unsupervised learning in Python, including clustering, anomaly detection, dimensionality reduction, and recommenders
Progress0%
28
+1
Alice Zhao
Alice Zhao
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