_sidebar.md

• Syllabus
• Lessons
  • Introduction to Data Science
  • Simple Data Manipulation
  • Data Manipulation & Visualization
  • How to Combine DataFrames
  • Applied Descriptive Statistics
  • Applied Probability to data frame
  • PDFs, CDFs, and Normal Distributions
  • Hypothesis Testing & Acceptable Error
  • Confidence Intervals & Outliers
  • Statistical Analysis
  • Time Series Data & Applications
  • Confidence Intervals, Outliers, and Statistical Analysis
  • Intro to Machine Learning Models
  • Foundational Machine Learning Pipeline
• Assignments
  • Data Visualization Challenge
  • Applied Probability and Statistics Challenge
  • Machine Learning Challenge