Supporting Parents of a Newborn Baby
In this course, you will learn some core components in supporting parents of newborn babies.
Business Analytics with Excel: Elementary to Advanced
This Business Analytics course focuses on the latter, introducing students to analytical frameworks for decision making via Excel modeling. Linear and Integer Optimization, Decision Analysis, and Risk Modeling are examples of these.
23 h
Introduction to Generative AI
This is a beginner-level microlearning course that explains what Generative AI is, how it works, and how it differs from typical machine learning methods. It also covers Google Tools, which will assist you in developing your own Gen AI apps.
1 h
Introduction to Statistics
By the end of the course, you will be able to undertake exploratory data analysis, comprehend important sampling concepts, and select appropriate significance tests for a variety of contexts.
14 h
Writing in the Sciences
Using real examples and exercises, this course teaches scientists how to write more effectively.
30 h
AI Capstone Project with Deep Learning
Learners will apply their deep learning knowledge and expertise to a real-world challenge in this capstone. They will create and test a deep learning model using a library of their choice.
16 h
R Programming
In this course you will learn how to program in R and how to use R for effective data analysis.
Data Structures and Performance
Learn Data Structures and Performance from University of California San Diego.
41 h
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Learn Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from deeplearning.ai. If you are a software developer who wants to build scalable AI-powered algorithms
30 h
Computer Science: Programming with a Purpose
Learn Computer Science: Programming with a Purpose from Princeton University. The basis for education in the last millennium was “reading, writing, and arithmetic;” now it is reading, writing, and computing.
40 h
Computer Science: Algorithms, Theory, and Machines
Learn Computer Science: Algorithms, Theory, and Machines from Princeton University. This course introduces the broader discipline of computer science to people having basic familiarity with Java programming.
30 h
Using Databases with Python
Learn Using Databases with Python from University of Michigan. This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering
14 h
AI Strategy and Governance
By the end of this course, you will have learned various strategies for recognising biases in data, how to maintain and build trust with user data and privacy, and what it takes to construct a responsible governance strategy.
10 h
Application of AI, InsurTech, and Real Estate Technology
Learn Application of AI, InsurTech, and Real Estate Technology from University of Pennsylvania.
6 h
Python Basics
Learn Python Basics from University of Michigan. This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures.
36 h
Subjects
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