Introduction to Data Science in Python Data Camp

Overview

Context

Even if you've never written a line of code in your life, you'll be able to follow this course and witness the power of Python to perform Data Science. You'll use data to solve the mystery of Bayes, the kidnapped Golden Retriever, and along the way you'll become familiar with basic Python syntax and popular Data Science modules like Matplotlib (for charts and graphs) and pandas (for tabular data).

What you'll learn in this Introduction to Data Science in Python course offered by Data Camp

• Differentiate line, scatter, bar, and histogram plotting functions in matplotlib, including the positional and keyword arguments each requires
• Distinguish between bracket and dot notation when selecting columns or rows in a pandas DataFrame based on given code examples
• Evaluate sample visualization code to assess whether axis labels, legends, styles, and other annotations are correctly applied to convey information
• Identify valid Python statements for importing modules, defining variables, and executing functions in a DataCamp environment
• Recognize pandas commands that load CSV files into DataFrames and reveal key dataset attributes using head and info methods