CodeFast vs. Train in Data Comparison


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About CodeFast is a coding course that claims to take users from zero experience to launching a working SaaS or online business in a matter of weeks. The curriculum includes about 12 hours of video tutorials that cover everything from basic web fundamentals (HTML, CSS, JavaScript) to full-stack development (frontend with frameworks like Next.js/React and styling with Tailwind CSS, backend logic, database management, API routes, user authentication, and database operations), as well as business-oriented topics like payment integration (e.g. subscriptions via Stripe or similar), domain setup, deployment, and hosting. It emphasizes a “learn-by-doing” and practical approach, rather than deep theory, guiding learners to build real projects from day one, which helps many beginners overcome the inertia of “tutorial hell.” Many students reportedly complete the course and launch simple web apps or micro-SaaS products within weeks.	About Train in Data is your go-to online school for mastering machine learning. We offer intermediate and advanced courses in Python programming, data science and machine learning, taught by industry experts with extensive experience in developing, optimizing, and deploying machine learning models in enterprise production environments. We focus on building a solid, intuitive grasp of machine learning concepts, backed by hands-on Python coding to make sure you can actually apply what you learn. Our approach? Simple: learn the theory, understand the why behind it, then get coding. We give you the complete package—theory, coding, and troubleshooting skills—so you can confidently handle real-world projects from start to finish.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Not Supported Cloud Not Supported On-Premises Not Supported iPhone Supported iPad Supported Android Not Supported Chromebook Not Supported
Audience Individuals in search of a tool to build and launch coding courses without years of formal coding study	Audience Train in Data is ideal for intermediate to advanced learners seeking practical, expert-led machine learning and Python training to confidently tackle real-world projects
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $169 per month Free Version Not Supported Free Trial Not Supported	Pricing $15 Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 4.8 / 5 ease 4.8 / 5 features 4.8 / 5 design 4.7 / 5 support 4.6 / 5 Read all reviews
	Pros & Cons from Real Users Pros It is very good content mostly for the time series, machine learning, good material and up to date and advanced materials I like the way they explain and teach the concept. The videos are easy to digest and helps learners retain information The Forecasting with Machine Learning course was very useful for my final year thesis. Loved the examples with respect to retail. The python notebooks are available to follow along. Am not trying to implement this at work for promotion planning. The interface is friendly and it's possible to take notes. References to other useful material provided. Instructors further videos on Youtube were useful too. The feature engineering course is very thorough, it’s well organized and practical. I would recommend is to everyone interested in ML engineering I really liked the intuitive interface and the wide range of features available. The platform makes data management and analysis much easier, and the customer support team has always been quick and helpful whenever I had questions. Cons it would be better to more focus on this topic and the application of time series foundation models that are now very popular, it would be much more efficient to cover a variety of topics in this area, moreover I believe it can be good if they talk more about the Gen AI type of models I would like to have more exercise and diverse projects to work on. Need some understanding of forecasting and machine learning. This is not meant for complete beginners. This isn't really a con but FYI. I think the intention of the course is to serve as a reference for future projects. Maybe it would be interesting to have some follow up courses based on specific full projects The only downside is that it can take a bit of time to learn all the advanced options, but once you get used to it, the experience is excellent.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information CodeFast United States codefa.st/	Company Information Train in Data Founded: 2019 Germany trainindata.com
Alternatives Boot.dev	Alternatives Tynker
Vue School	Codédex
Mimo	Boot.dev
Codédex	DataCamp
Thinkster View All	Kaggle Google View All
Categories Technical Skills Development Supported	Categories Technical Skills Development Supported

Integrations CSS Supported Git Supported GitHub Supported HTML Supported JavaScript Supported Jupyter Notebook Not Supported JupyterHub Not Supported Matplotlib Not Supported MongoDB Supported Next.js Supported Node.js Supported NumPy Not Supported OAuth Supported Python Not Supported React Supported Stripe Supported Tailwind CSS Supported Visual Studio Code Supported pandas Not Supported scikit-learn Not Supported Show More Integrations View All 13 Integrations	Integrations CSS Not Supported Git Not Supported GitHub Not Supported HTML Not Supported JavaScript Not Supported Jupyter Notebook Supported JupyterHub Supported Matplotlib Supported MongoDB Not Supported Next.js Not Supported Node.js Not Supported NumPy Supported OAuth Not Supported Python Supported React Not Supported Stripe Not Supported Tailwind CSS Not Supported Visual Studio Code Not Supported pandas Supported scikit-learn Supported Show More Integrations View All 7 Integrations
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