Data Science & Analytics: From Data to Insights
Machine Learning Fundamentals
Data Science & Analytics: From Data to Insights
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Lesson Topics:
Learn to analyze and interpret data using Python, R, and SQL, and build machine learning models for data-driven insights.
Introduction to Data Science and Analytics
Video - 10:54 mins
Data Collection and Cleaning
Video - 5:09 mins
Python for Data Science
Reading
R for Statistical Analysis
Reading
SQL for Data Manipulation
Reading
Machine Learning Fundamentals
Reading
Data Visualization Techniques
Reading
Predictive Analytics and Model Evaluation
Reading
Big Data and Cloud Analytics
Reading
Final Project: End-to-End Data Science Workflow
Reading
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Course Info
Understanding the basics of machine learning algorithms.
Supervised vs. unsupervised learning.
Implementing linear regression, decision trees, and clustering.
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