Intro to Data Analysis

Introduction to Data Analysis with Python for UW Foster School of Business

Welcome to the Course

Class 1: Introduction to Pandas for Data Analysis

Data Analysis Overview

Introduction to Pandas

Working with Pandas Dataframes

Lab 1: Working with Dataframes

Reading and Writing Data in Pandas

Filtering and Finding Data

Lab 2: Basic Pandas Operations

HW1

Class 2: Data Cleaning and Munging in Pandas

Concatenate/Join/Merge Dataframes

Grouping Dataframes

Lab 1: Merging and Grouping

Importance of Cleaning your Data

Cleaning Messy Data

Handling Missing Values

Lab 2: Missing Values

HW2

Class 3: Exploratory Data Analysis

Exploratory Data Analysis

Working with Categorical Features: One Hot Encoding

Binning Continuous Variables

Lab 1: Examining Cardiovascular Disease

Normalizing your data

Lab 2: Normalize California Housing Prices

HW3

Class 4: The Normal Distribution

Probability Distributions

Testing for Normality

Lab 1: Normality Testing

Variance, Covariance and Correlation

Outlier Detection

Lab 2: Correlation and Outiler Detection

HW4

Class 5: Linear Regression and Evaluation

Simple Linear Regression

Implementing Linear Regression in Sci-Kit Learn

Lab 1: Building a Linear Model

Evaluating your model

Other Models

Lab 2

Final Project: Due August 20th