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Philly Student Union > Lessons > Data Collection and Cleaning

Data Collection and Cleaning

Course Content
Lesson Topics:
Learn to analyze and interpret data using Python, R, and SQL, and build machine learning models for data-driven insights.
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Introduction to Data Science and Analytics
10:54
Data Collection and Cleaning
05:09
Python for Data Science
R for Statistical Analysis
SQL for Data Manipulation
Machine Learning Fundamentals
Data Visualization Techniques
Predictive Analytics and Model Evaluation
Big Data and Cloud Analytics
Final Project: End-to-End Data Science Workflow
Data Science & Analytics: From Data to Insights
About Lesson
  • Gathering and organizing data from various sources.
  • Cleaning and preparing data for analysis.
  • Handling missing data, duplicates, and outliers.
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