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Average Ratings 18 Ratings

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Description

Enhance your team's capabilities by equipping them with data science and AI expertise. Foster growth within your organization by cultivating data science proficiency and improving data literacy among all employees. With AI Planet for Teams, you can ensure that everyone in your organization gains essential skills in data science and becomes data literate. The resources available on AI Planet are curated by industry leaders, including principal data scientists, data science managers, and executives from top companies. Courses and learning paths offered on the platform are meticulously designed by experts with a focus on practical application. This approach not only helps learners build confidence but also contributes to the overall growth of the organization. You can utilize pre-existing learning paths that offer structured guidance, or you can design custom learning journeys using the extensive library of over 50 courses provided by AI Planet. Additionally, AI Planet for Teams includes a comprehensive team management and progress tracking dashboard, allowing you to easily invite employees to begin their learning journey and monitor their development. This streamlined process ensures that every member of your team can advance their skills effectively and contribute positively to your organization's objectives.

Description

Train in Data is a specialized online school offering intermediate to advanced courses in Python programming, data science, and machine learning designed for serious learners. Led by industry professionals with extensive experience developing and deploying machine learning models in production environments, the platform provides practical, hands-on instruction. Its teaching philosophy centers on mastering the theory behind machine learning before applying it through Python coding exercises. The courses help students build a strong, intuitive understanding of complex concepts while reinforcing learning through real coding practice. Train in Data delivers a comprehensive learning experience by combining theoretical knowledge, practical coding skills, and troubleshooting techniques. This prepares learners to confidently tackle real-world machine learning projects from start to finish. The platform is ideal for those looking to deepen their expertise and transition from theory to practice. Ultimately, it empowers students to become proficient machine learning practitioners.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Jupyter Notebook No 
JupyterHub No 
Matplotlib No 
NumPy No 
Python No 
pandas No 
scikit-learn No 

Integrations

Jupyter Notebook Yes 
JupyterHub Yes 
Matplotlib Yes 
NumPy Yes 
Python Yes 
pandas Yes 
scikit-learn Yes 

Pricing Details

$15 per month per member
Free Trial No 
Free Version Yes 

Pricing Details

$15
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

AI Planet

Country

Belgium

Website

aiplanet.com/teams

Vendor Details

Company Name

Train in Data

Founded

2019

Country

Germany

Website

trainindata.com

Product Features

Technical Skills Development

Analytics No 
Career Coaching No 
Discussions No 
Exercises and Projects No 
Offline Usage No 
Quizzes & Assessments No 
Videos No 

Product Features

Technical Skills Development

Analytics No 
Career Coaching No 
Discussions No 
Exercises and Projects No 
Offline Usage No 
Quizzes & Assessments No 
Videos No 

Alternatives

Alternatives