|
Algorithms: Design and Analysis, Part 2
Coursera
7 weeks, 6-10 hours a week
7 weeks, 6-10 hours a week
|
Finished
|
|
|
|
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Coursera
16 hours 39 minutes
16 hours 39 minutes
|
On-Demand
|
|
|
|
Quantitative Methods
Coursera
30 hours
30 hours
|
On-Demand
|
|
|
|
Data Structures
Coursera
1 day 31 minutes
1 day 31 minutes
|
On-Demand
|
|
|
|
Approximation Algorithms Part I
Coursera
1 day 11 hours 38 minutes
1 day 11 hours 38 minutes
|
On-Demand
|
|
|
|
Algorithms, Part I
Coursera
54 hours
54 hours
|
On-Demand
|
|
|
|
Algorithms, Part II
Coursera
63 hours
63 hours
|
On-Demand
|
|
|
|
Computability, Complexity & Algorithms
|
On-Demand
|
|
|
|
Innovation for Powerful Outcomes
Open2Study
4 weeks
4 weeks
|
Finished
|
|
|
|
Algorithmic Thinking (Part 2)
Coursera
12 hours
12 hours
|
On-Demand
|
|
|
|
Big Data Analysis with Apache Spark
edX
4 weeks, 5-10 hours a week
4 weeks, 5-10 hours a week
|
Finished
|
|
|
|
Presentation skills: Designing Presentation Slides
|
Finished
|
|
|
|
Introduction to Computation Theory
|
On-Demand
|
|
|
|
Processing Big Data with Hadoop in Azure HDInsight
edX
5 weeks, 3-5 hours a week
5 weeks, 3-5 hours a week
|
Finished
|
|
|
|
Programming for Everybody: Python Data Structures
FutureLearn
6 weeks, 4 hours a week
6 weeks, 4 hours a week
|
Finished
|
|
|
|
Big data and Language 2
Coursera
5 hours 18 minutes
5 hours 18 minutes
|
On-Demand
|
|
|
|
Big Data, Artificial Intelligence, and Ethics
Coursera
12 hours 3 minutes
12 hours 3 minutes
|
On-Demand
|
|
|
|
Assets, Threats, and Vulnerabilities
Coursera
1 day 2 hours 5 minutes
1 day 2 hours 5 minutes
|
On-Demand
|
|
|
|
Software Testing for Developers
Coursera
9 hours 39 minutes
9 hours 39 minutes
|
On-Demand
|
|
|
|
Using APIs for Network Automation
Coursera
3 hours 42 minutes
3 hours 42 minutes
|
On-Demand
|
|
|
|
Data Security
Coursera
15 hours 39 minutes
15 hours 39 minutes
|
On-Demand
|
|
|
|
Paradigms of Computer Programming – Fundamentals
edX
6 weeks, 4-6 hours a week
6 weeks, 4-6 hours a week
|
On-Demand
|
|
|
|
Paradigms of Computer Programming – Abstraction and Concurrency
edX
6 weeks, 4-6 hours a week
6 weeks, 4-6 hours a week
|
On-Demand
|
|
|
|
Algorithms
edX
6 weeks, 6-8 hours a week
6 weeks, 6-8 hours a week
|
On-Demand
|
|
|
|
Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps
edX
5 weeks, 9-10 hours a week
5 weeks, 9-10 hours a week
|
On-Demand
|
|
|
|
Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues
edX
5 weeks, 9-10 hours a week
5 weeks, 9-10 hours a week
|
On-Demand
|
|
|
|
Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms
edX
5 weeks, 9-10 hours a week
5 weeks, 9-10 hours a week
|
On-Demand
|
|
|
|
Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms
edX
5 weeks, 9-10 hours a week
5 weeks, 9-10 hours a week
|
On-Demand
|
|
|
|
Computing in Python III: Data Structures
edX
5 weeks, 9-10 hours a week
5 weeks, 9-10 hours a week
|
On-Demand
|
|
|
|
Computing in Python IV: Objects & Algorithms
edX
5 weeks, 9-10 hours a week
5 weeks, 9-10 hours a week
|
On-Demand
|
|
|
|
Python Data Structures
edX
7 weeks, 2-4 hours a week
7 weeks, 2-4 hours a week
|
On-Demand
|
|
|
|
How to Code: Complex Data
edX
6 weeks, 2-3 hours a week
6 weeks, 2-3 hours a week
|
On-Demand
|
|
|
|
Data Structures: An Active Learning Approach
edX
10 weeks, 6-7 hours a week
10 weeks, 6-7 hours a week
|
On-Demand
|
|
|
|
Agile Innovation and Problem Solving Skills
edX
4 weeks, 2-3 hours a week
4 weeks, 2-3 hours a week
|
On-Demand
|
|
|