Defining Data Science

Course: 19 Minutes

• Course Introduction
• What is Data Science?
• What is Data Wrangling?
• What is Big Data?
• What is Machine Learning?

Implementing Data Science

Course: 21 Minutes

• Data Science Terminology
• Data Communication
• Data Science Pipeline
• Data Science Tools

Practice: Exploring Data Science

Course: 4 Minutes

• Exercise: Explore Your Data Science Needs

Data Extraction

Course: 31 Minutes

• Course Introduction
• Basic Data Gathering
• Gathering Web Data
• Extracting Spreadsheet Data with in2csv
• Extracting Spreadsheet Data with Agate
• Extracting Legacy Data from dBASE Tables
• Extracting HTML Data

Metadata

Course: 24 Minutes

• Gathering Metadata
• Working with HTTP Headers
• Working with Linux Log Files
• Working with Email Headers

Remote Data

Course: 15 Minutes

• Connecting to Remote Data
• Copying Remote Data
• Synchronizing Remote Data

Practice: Curl and HTML

Course: 4 Minutes

• Exercise: Explore HTML Tables

Introduction to Data Filtering

Course: 59 Minutes

• Course Overview
• Data Filtering Techniques and Tools
• Processing Date Formats
• Filtering HTTP Headers
• Filtering CSV Data
• Replacing Values with sed
• Dropping Duplicate Data
• Working with JPEG Headers
• Filtering PDF Files
• Filtering for Invalid Data
• Parsing robots.txt

Practice: Filtering Dates

Course: 3 Minutes

• Exercise: Cull Old Data

File Format Conversions

Course: 23 Minutes

• Course Introduction
• Converting CSV to JSON
• Converting XML to JSON
• Converting CSV to SQL
• Converting SQL to CSV
• Changing CSV Delimiters

Data Conversions

Course: 13 Minutes

• Converting Dates
• Converting Numbers
• Rounding Numbers

Optical Character Recognition

Course: 11 Minutes

• OCR JPEG Images
• Extracting Text from PDF Files

Practice: Converting Dates

Course: 2 Minutes

• Exercise: Convert Dates to ISO 8601

Introduction to Data Exploration

Course: 53 Minutes

• Course Introduction
• Exploring CSV Data
• Exploring CSV Statistics
• Querying CSV Data
• Plotting from the Command Line
• Counting Words
• Exploring Directory Trees
• Determining Word Frequencies
• Taking Random Samples
• Finding the Top Rows
• Finding Repeated Records
• Identifying Outliers in Data

Practice: Exploring Word Frequencies

Course: 4 Minutes

• Exercise: Count Word Frequencies in a Classic Book

Introduction to Data Integration

Course: 41 Minutes

• Course Overview
• Joining CSV Data
• Concatenating Log Files
• Sorting Text Files
• Merging XML Data
• Aggregating Data
• Normalizing Data
• Denormalizing Data
• Pivoting Data Tables
• Homogenizing Rows

Practice: Joining CSV Data

Course: 2 Minutes

• Exercise: Merge Two CSV Documents into One

Data Science Math

Course: 24 Minutes

• Course Introduction
• Basic Data Science Math
• Linear Algebra Vector Math
• Linear Algebra Matrix Math
• Linear Algebra Matrix Decomposition

Data Analysis Concepts

Course: 39 Minutes

• Data Formation
• Introduction to Probability
• Working with Events
• Working with Probabilit
• Continuous Probability Distributions
• Discrete Probability Distributions
• Introduction to Bayes Theorem

Estimates and Measures

Course: 36 Minutes

• Sampling Data
• Statistical Measures
• Estimators
• Sampling Distributions
• Confidence Intervals
• Hypothesis Tests
• Chi-Square

Practice: Identifying Data

Course: 2 Minutes

• Exercise: Identify Data Sets by Type

Machine Learning Introduction

Course: 24 Minutes

• Course Introduction
• Introduction to Supervised Learning
• Introduction to Unsupervised Learning
• Understanding Linear Regression
• Working with Predictors

Regression and Classification

Course: 19 Minutes

• Understanding Logistic Regression
• Understanding Dummy Variables
• Using Naive Bayes Classification
• Working with Decision Trees

Clustering

Course: 14 Minutes

• K-means Clustering
• Using Cluster Validation
• Using Principal Component Analysis

Errors and Validation

Course: 20 Minutes

• Introduction to Errors
• Defining Underfitting
• Defining Overfitting
• Using K-folds Cross Validation
• Using Neural Networks
• Support Vector Machines (SVM)

Practice: Choosing a Method

Course: 2 Minutes

• Exercise: Choose a Machine Learning Method

Introduction to Data Communication

Course: 32 Minutes

• Course Introduction
• Effective Communication and Visualization
• Correlation Versus Causation
• Simpson's Paradox
• Presenting Data
• Documenting Data Science
• Visual Data Exploration

Plotting

Course: 45 Minutes

• Creating Scatter Plots
• Plotting Line Graphs
• Creating Bar Charts
• Creating Histograms
• Creating Box Plots
• Creating Network Visualizations
• Creating a Bubble Plot
• Creating Interactive Plots

Practice: Creating a Scatter Plot

Course: 3 Minutes

• Exercise: Create a Scatter Plot

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