Tool setter education requirements

1. Tools for Data Science

In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab,...

2. Machine Learning Engineering for Production (MLOps)

Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well.\n\nEffectively deploying machine learning models requires competencies more commonly found in technical fields such as software engineering and DevOps. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and...

3. No-Code Machine Learning: Practical Guide to Modern ML Tools

4.4

(563)

Build Powerful Machine Learning Models w/Zero Coding! Master Google Vertex AI, Microsoft Azure ML Designer, & Data Robot...

4. Mastering the Seven Basic Quality Improvement Tools [2022]

4.6

(506)

Master the 7 QC tools for process improvement using MS Excel + Certification 2 case studies included...

5. Web Applications and Command-Line Tools for Data Engineering

In this fourth course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will build upon the data engineering concepts introduced in the first three courses to apply Python, Bash and SQL techniques in tackling real-world problems. First, we will dive deeper into leveraging Jupyter notebooks to create and deploy models for machine learning tasks. Then, we will explore how to use Python microservices to break up your data warehouse into small, portable solutions that...

6. 7 Quality Tools for Quality Management and Improvements.

4.4

(434)

A complete Crash Course on the 7 Basic Tools for Quality Management and its Implementation using MS Excel...

7. Mastering the Seven Quality Tools (with Microsoft Excel)

4.6

(1,544)

A Deep Dive into the theory and application of the 7 Quality Tools for root cause analysis and continuous improvement...

8. Master Pro Tools 11 - A Definitive Pro Tools Course

4.3

(383)

Master Avid Pro Tools 11. Learn the Audio Production Secrets used by the Pros. An easy to follow Pro Tools tutorial...

9. CNC Milling machine programming using G-Code

4.7

(331)

Learning to read and write CNC programs with FANUC G Code has never been so easy...

10. The Seven Basic Tools of Quality Expert Certification

4.6

(324)

Become a Certified Seven Basic Tools of Quality Expert Master 7QC Tools (using Excel) Earn 2 PDUs CPDs CEUs...

11. Google Cloud Machine Learning Engineer Certification Prep

4.5

(434)

Building, Deploying, and Managing Machine Learning Services at Scale...

12. The Complete Machine Learning Course with Python

4.5

(6,881)

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!...

13. Executive Briefing: Machine Learning

4.1

(5,211)

Machine Learning for Executives and Top-Level Managers: understand Machine Learning in under 90 Minutes...

14. Continuous Improvement Tools

4.7

(662)

Essential Lean Tools and Techniques for Business Process Improvement, Operational Excellence, and Customer Satisfaction...

15. OpenAPI Specification & Swagger Tools - Zero To Master

4.6

(524)

Document, Mock, Test APIs using Open API specification & Swagger Tools. Generate code from Open API. Based on OAS 3 ver...

16. The Ultimate Swagger Tools Course: Build OpenAPI with Ease

4.6

(286)

Swagger tutorial for simplified Open API design, documentation, development, & testing - unified tool for Open API...

17. Azure Machine Learning & MLOps: Beginner to Advance

4.4

(465)

The most compressive course covering MLOps and machine learning on Azure Zero to Hero...

18. Machine Learning No-Code Approach: Using Azure ML Studio

4.9

(542)

A hands-on approach to Machine Learning using the easy drag-n-drop environment of Azure Machine Learning Studio...

19. Productivity Machine: Time Management & Productivity Hacks

4.5

(27,996)

Productivity & Time Management Strategies for Goal Setting, Eliminating Distractions, & Building Habits for Success...