Intermediate Lessons

View Options - Excel Skills for Business: Essentials by Macquarie University #5

Navigating and Selecting in Excel - Excel Skills for Business: Essentials by Macquarie University #4

Taking Charge of Excel - Excel Skills for Business: Essentials by Macquarie University #3

Excel Discussion - Excel Skills for Business: Essentials by Macquarie University #2

Deep Learning Specialization by deeplearning.ai — Trailer

R Programming - Introduction to Swirl by Johns Hopkins University

R Programming - Vectorized Operations by Johns Hopkins University

R Programming - Subsetting R Objects: Removing Missing Values by Johns Hopkins University

R Programming - Subsetting R Objects: Partial Matching by Johns Hopkins University

R Programming - Subsetting R Objects: Matrices by Johns Hopkins University

R Programming - Subsetting R Objects: Lists by Johns Hopkins University

R Programming - Subsetting R Objects: Basics by Johns Hopkins University

R Programming - Connections: Interfaces to the Outside World by Johns Hopkins University

R Programming - Textual Data Formats by Johns Hopkins University

R Programming - Reading Large Tables by Johns Hopkins University

R Programming - Reading Tabular Data by Johns Hopkins University

R Programming - R Data Types Summary by Johns Hopkins University

R Programming - R Data Types: Data Frames by Johns Hopkins University

R Programming - R Data Types: Missing Values by Johns Hopkins University

R Programming - R Data Types: Factors by Johns Hopkins University

R Programming - R Data Types: Matrices by Johns Hopkins University

R Programming - R Data Types: Vectors and Lists by Johns Hopkins University

R Programming - R Data Types: Objects and Attributes by Johns Hopkins University

R Programming - R Console Input and Evaluation by Johns Hopkins University

R Programming - Getting Help with R by Johns Hopkins University

R Programming - Overview and History of R by Johns Hopkins University

R Programming - Introduction to R by Johns Hopkins University

Machine Learning with Tensorflow on Google Cloud Platform Specialization — Trailer

Data Science Specialization by Johns Hopkins University - Trailer

R Programming - R Data Types: Names Attribute by Johns Hopkins University

Basic Modeling for Discrete Optimization - Module 1 Summary by The University of Melbourne #8

Basic Modeling for Discrete Optimization - Global Constraints by The University of Melbourne #7

Basic Modeling for Discrete Optimization - Arrays and Comprehensions by University of Melbourne #6

Basic Modeling for Discrete Optimization - Modeling Objects by The University of Melbourne #5

Basic Modeling for Discrete Optimization - Models and Instances by The University of Melbourne #4

Basic Modeling for Discrete Optimization - Third Model by The University of Melbourne #3

Basic Modeling for Discrete Optimization - Second Model by The University of Melbourne #2

Basic Modeling for Discrete Optimization - First Steps by The University of Melbourne #1

Basic Modeling for Discrete Optimization - Welcome to Basic Modeling by The University of Melbourne

IBM Blockchain Foundation for Developers - Why blockchain is relevant for business by IBM #3

IBM Blockchain Foundation for Developers - The Problem Area by IBM #2

IBM Blockchain Foundation for Developers - The business backdrop by IBM #1

ASU Master of Computer Science Live Admissions Q&A

ASU's Online Master of Computer Science [Admissions Webinar - September 26]

ASU's Online Master of Computer Science [Admissions Webinar]

ASU's Online Master of Computer Science [Admissions Webinar]

CS@ILLINOIS' Online Master's of Computer Science [Admissions Webinar]

CS@ILLINOIS' Online Master's of Computer Science [International Admissions Webinar]