你将学到什么
Import data sets
Clean and prepare data for analysis
Manipulate pandas DataFrame
Summarize data
Build machine learning models using scikit-learn
Build data pipelines
Data Analysis with Python is delivered through lecture, hands-on labs, and assignment.
课程概况
LEARN TO ANALYZE DATA WITH PYTHON
Learn how to analyze data using Python. This coursewill take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
课程大纲
COURSE SYLLABUS
Module 1 - Importing Datasets
Learning Objectives
Understanding the Domain
Understanding the Dataset
Python package for data science
Importing and Exporting Data in Python
Basic Insights from Datasets
Module 2 - Cleaning and Preparing the Data
Identify and Handle Missing Values
Data Formatting
Data Normalization Sets
Binning
Indicator variables
Module 3 - Summarizing the Data Frame
Descriptive Statistics
Basic of Grouping
ANOVA
Correlation
More on Correlation
Module 4 - Model Development
Simple and Multiple Linear Regression
Model EvaluationUsingVisualization
Polynomial Regression and Pipelines
R-squared and MSE for In-Sample Evaluation
Prediction and Decision Making
Module 5 - Model Evaluation
Model Evaluation
Over-fitting, Under-fitting and Model Selection
Ridge Regression
Grid Search
Model Refinement
预备知识
Some Python Experience
