To see all courses in progress, login into Coursera, select My Courses (under Profile)
In Progress
Machine Learning Specialization – 2 months at 10 hours a week
- Instructors: Andrew Ng, Aarti Bagul. Geoff Ladwig, Eddy Shyu
- Offered by Sandford University and DeepLearning.AI
- Beginner level
- Courses
- Course 1: Supervised Machine Learning: Regression and Classification – 15 hours <= completed
- Course 2: Advanced Learning Algorithms – 31 hours <= in progress
- Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning – 26 hours
Learning how to Learn: Powerful mental tools to help you master tough subjects – 15 hours – 3 weeks at 5 hours /week
AWS Cloud Practitioner Essentials – by Amazon Web Services – 18 hours – 3 weeks at 6 hours / week
Containerized Applications on AWS – by Amazon Web Services – 12 hours – 3 weeks at 4 hours / week
Courses to Take
Microsoft 356 Fundamentals Specialization – 2 months at 10 hours a week
- Work Smarter with Microsoft Work – 30 hours
- Work Smarter with Microsoft Excel – 20 hours
- Work Smarter with Power Point – 19 hours – 5 weeks; 1.5 – 3 hours/week
Introduction to Networking and Cloud Computing – 25 hours – 5 weeks; 3-5 hours/week
- 6 videos, 14 readings, 4 practice quizzes
- it’s part of Microsoft Cybersecurity Analyst Specialization
What is Data Science? – 7 hours
The Science of Well-Being – Yale University – 19 hours – 3 weeks at 6 hours / week
IS/IT Governance – University of Minnesota – 10 hours
Exploratory Data Analysis for Machine Learning – 14 hours
Foundations: Data, Data, Everywhere – by Google Career Certificates – 22 hours
Exploratory Data Analysis for Machine Learning – by IBM – 14 hours