Books & Videos

Table of Contents

Chapter: Extracting and Handling Data

The CourseOverview

05m 2s

Handling Data with CSV Files

06m 28s

Handling Data with TSV Files

03m 33s

Interacting with the Web

06m 42s

Chapter: Metaprogramming

Representation of a Julia Program

06m 38s

Symbols

03m 7s

Quoting

03m 32s

Interpolation

03m 48s

The eval Function

03m 24s

Macros

04m 31s

Metaprogramming with DataFrames

07m 56s

Chapter: Statistics with Julia

Basic Statistics Concepts

05m 15s

Descriptive Statistics

07m 4s

Deviation Metrics

03m 36s

Sampling

06m 27s

Correlation Analysis

07m 52s

Chapter: Building Data Science Models

Dimensionality Reduction

05m 9s

Data Preprocessing

05m 16s

Linear Regression

03m 20s

Classification

03m 19s

Performance Evaluation and Model Selection

04m 47s

Cross Validation

03m 28s

Distances

04m 35s

Distributions

05m 14s

Time Series Analysis

01m 35s

Chapter: Working with Visualizations

Plotting Basic Arrays

06m 21s

Plotting DataFrames

05m 12s

Plotting Functions

05m 31s

Exploratory Data Analytics Through Plots

05m 13s

Line Plots

02m 46s

Scatter Plots

03m 33s

Histograms

03m 45s

Aesthetic Customizations

03m 49s

Chapter: Parallel Computing

Basic Concepts of Parallel Computing

05m 46s

Data Movement

02m 45s

Parallel Maps and Loop Operations

03m 25s

Channels

02m 9s