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Preparing for the AP* Computer Science A Exam — Part 2
by Yosef Skolnick- 0.0
4 Weeks
1x covers the material of AP Computer Science A which is equivalent to a first-semester, college-level course in computer science. Topics include problem solving, programming design strategies and data structures, algorithms, role of computation in real-world applications like smart phones, google glass and robots. Video lectures for this course will be available in May 2015....
$50
Lazy Trading Part 2: Set up your Trading Strategy Robot
by Vladimir Zhbanko- 4.4
2.5 hours on-demand video
The same robot template will be used in other courses of the Lazy Trading Series Update: dedicated R package 'lazytrade' was created to facilitate code sharing among different courses These courses will not teach and explain specific programming concepts in details These courses are not meant to teach basics of Data Science or Trading...
$12.99
International Marketing Entry and Execution
by Dae Ryun Chang- 4.7
Approx. 9 hours to complete
This will be part 2 of a two-series foundation courses for the Specialization: International Marketing & Cross Industry Growth. This course will dive in more deeply into consumer science investigation, B2C marketing, International Marketing Entry, Targeting, Positioning, International Product, International Promotion, International Place and International Price. 2 CSI in International Marketing...
Advanced Database Administration
by Aspen Olmsted- 0.0
5 Weeks
Learn the fundamentals of administering relational database management systems, including managing concurrency and creating objects in the database These topics build upon the learnings that are taught in the introductory-level Computer Science Fundamentals MicroBachelors program, offered by the same instructor. Database development and administration skills are required in most Information Technology, Software Engineering, Cybersecurity, and Computer Science jobs....
$166
AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
Approx. 12 hours to complete
You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
Deep Learning Prerequisites: Linear Regression in Python
by Lazy Programmer Inc.- 4.6
6.5 hours on-demand video
Data science, machine learning, and artificial intelligence in Python for students and professionals This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?...
$17.99
The Art & Science of Drawing / SHADING: BEYOND THE BASICS
by Brent Eviston- 4.8
1.5 hours on-demand video
If you're a beginner, we recommend going through the entire series in the following order: Basic Skills Dynamic Mark Making Form & Space Measuring & Proportion Contours Shading Fundamentals Shading: Beyond the Basics If you've got some drawing experience, feel free to mix and match The Art & Science of Drawing courses to suit your personal needs as an artist!...
$17.99
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Data Science with Jupyter: 2-in-1
by Packt Publishing- 3.3
4.5 hours on-demand video
Get the most out of Jupyter to perform various data science tasks To perform a variety of data science tasks with Jupyter, you'll need some prior programming experience in either Python or R and a basic understanding of Jupyter. You will then learn to perform various data science tasks such as data analysis, data visualization, and data mining with Jupyter....
$9.99
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
Approx. 14 hours to complete
You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
Computation Structures 3: Computer Organization
by Chris Terman , Steve Ward , Silvina Hanono Wachman- 0.0
10 Weeks
Learn how to turn a processor into an entire computer system in this interactive computer science course from MIT. This computer science course is a bottom-up exploration of the abstractions, principles, and techniques used in the design of digital and computer systems. "Out of the many edX courses I have taken, the first two parts of 6....
$49