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Accelerated Javascript Guide for all level JS learners
by Suresh Srivastava- 4.6
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3 hours on-demand video
Javascript: Start learning Javascript from this excellent course on Javascript programming! Start learning from this excellent course on programming! This course will help any genre of learner to get accustomed with his ability to extend his skill set in Javascript. This course will also help you form a base for other higher libraries and frameworks like React, Node....
$12.99
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
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Approx. 19 hours to complete
In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world! With the help of our industry-leading data scientists, we’ve designed this course to build ready-to-apply data science skills in just 15 hours of learning. Machine Learning Solutions Discussion Intro...
Cloud Computing Project
by Indranil Gupta , Roy H. Campbell , P. Brighten Godfrey , Ankit Singla- 4.1
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Approx. 21 hours to complete
This six-week long Project course of the Cloud Computing Specialization will allow you to apply the learned theories and techniques for cloud computing from the previous courses in the Specialization, including Cloud Computing Concepts, Part 1, Cloud Computing Concepts, Part 2, Cloud Computing Applications, Part 1, Cloud Computing Concepts, Part 2, and Cloud Networking....
Machine Learning for Accounting with Python
by Linden Lu- 0.0
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Approx. 63 hours to complete
This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems. This course is running on the same platform (Jupyter Notebook) as that of the prerequisite course. How to apply machine learning models on datasets with Python in Jupyter Notebook....
Launching into Machine Learning
by Google Cloud Training- 4.6
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Approx. 22 hours to complete
We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. Course Objectives: Identify why deep learning is currently popular Mitigate common problems that arise in machine learning Practice Quiz on Improve Data Quality Practice Quiz on Exploratory Data Analysis Supervised Learning Supervised Learning Introducing the Course Dataset...
Strategic Management
by Robert Austin- 4.8
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Approx. 11 hours to complete
This course prepares you to think strategically in an age when companies like Apple, Google, and Microsoft have become more valuable (in market cap terms) than companies like Exxon. Introduction to the Course More on Embrace, Extend, and Extinguish More on the Prisoner's Dilemma Learning from the History of Business Strategy...
Introduction to Structured Query Language (SQL)
by Charles Russell Severance- 4.8
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Approx. 16 hours to complete
Welcome to the Course Installing MAMP on a Macintosh Installing MAMP on Windows 10 Installing XAMPP on Windows 10 Textbook & Course Resources Installing LAMP On Linux Keep Learning with Michigan Online...
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Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Once you have developed a few Deep Learning models, the course will focus on Reinforcement Learning, a type of Machine Learning that has caught up more attention recently. Deep Learning Applications and Reinforcement Learning...
Taking Safety and Quality Improvement Work to the Next Level (Patient Safety VII)
by David Schwartz- 4.6
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Approx. 9 hours to complete
In this culminating course in the Patient Safety and Quality Improvement Specialization, you will apply the skills you have acquired across the previous six courses to address a realistic patient safety issue confronting Mercy Grace, a 500-bed urban hospital that is part of a larger hospital system. Introduction to the Learning from Defects Tool...
Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. Python More on Strings...
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