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Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)
freeCodeCamp
4-5 hours
4-5 hours
|
On-Demand
|
|
|
|
|
CS107: C++ Programming
Saylor Academy
40 hours
40 hours
|
On-Demand
|
|
|
|
|
CS302: Software Engineering
Saylor Academy
41 hours
41 hours
|
On-Demand
|
|
|
|
|
DevOps, DataOps, MLOps
Coursera
1 day 20 hours 43 minutes
1 day 20 hours 43 minutes
|
On-Demand
|
|
|
|
|
Data Science Pipelines
Udacity
18 hours
18 hours
|
On-Demand
|
|
|
|
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Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Coursera
2 hours 20 minutes
2 hours 20 minutes
|
On-Demand
|
|
|
|
|
Intro to Data Analysis
Udacity
20 hours
20 hours
|
On-Demand
|
|
|
|
|
Python Data Visualization
Coursera
8 hours 38 minutes
8 hours 38 minutes
|
On-Demand
|
|
|
|
|
Python Basics for Data Science
edX
3 weeks, 4-10 hours a week
3 weeks, 4-10 hours a week
|
On-Demand
|
|
|
|
|
Exam Readiness: AWS Certified Advanced Networking - Specialty (Digital)
Independent
9 hours
9 hours
|
On-Demand
|
|
|
|
|
AWS Cloud Practitioner Essentials (Digital)
Independent
7 hours
7 hours
|
On-Demand
|
|
|
|
|
Data Science and Agile Systems for Product Management
edX
4 weeks, 2-3 hours a week
4 weeks, 2-3 hours a week
|
On-Demand
|
|
|
|
|
An Introduction to Interactive Programming in Python (Part 2)
Coursera
15 hours 40 minutes
15 hours 40 minutes
|
On-Demand
|
|
|
|
|
Principles of Computing (Part 2)
Coursera
16 hours
16 hours
|
On-Demand
|
|
|
|
|
Software Engineering
|
On-Demand
|
|
|
|
|
Principles of Computing (Part 1)
Coursera
19 hours
19 hours
|
On-Demand
|
|
|
|
|
Algorithmic Thinking (Part 1)
Coursera
12 hours
12 hours
|
On-Demand
|
|
|
|
|
AWS Cloud Practitioner Essentials
Coursera
1 day 11 hours 48 minutes
1 day 11 hours 48 minutes
|
On-Demand
|
|
|
|
|
Cloud Machine Learning Engineering and MLOps
Coursera
13 hours 47 minutes
13 hours 47 minutes
|
On-Demand
|
|
|
|
|
Machine Learning Operations (MLOps): Getting Started
Coursera
3 hours 32 minutes
3 hours 32 minutes
|
On-Demand
|
|
|
|
|
Introduction to Scripting in Python
Coursera
Specialization
4 weeks, 10 hours a week
4 weeks, 10 hours a week
|
Microcredential
5.0
1 Reviews
|
|
|
|
Data Analysis with Python
freeCodeCamp
300 hours
300 hours
|
On-Demand
|
|
|
|
|
MLOps for Scaling TinyML
edX
7 weeks, 2-4 hours a week
7 weeks, 2-4 hours a week
|
On-Demand
|
|
|
|
|
Data Analysis with Python Course - Numpy, Pandas, Data Visualization
freeCodeCamp
10 hours
10 hours
|
On-Demand
|
|
|
|
|
Exam Prep: AWS Certified SysOps Administrator – Associate
|
Finished
|
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