Train in Data - Online Learning Platform

Intermediate and advanced courses on data science

5.0•6 reviews•

4 followers

Intermediate and advanced courses on data science

5.0•6 reviews•

4 followers

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Train in Data is offers 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.

Train in Data - Online Learning Platform Reviews

The community submitted 6 reviews to tell us what they like about Train in Data - Online Learning Platform, what Train in Data - Online Learning Platform can do better, and more.

5.0

Based on 6 reviews

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Other Reviews (6)

•1 review

What's great

It’s a fantastic course because it offers up-to-date material, excellent teaching methods, and plenty of hands-on content that make learning engaging and practical. The content covers all the essential aspects of machine learning, providing both strong theoretical foundations and real-world applications.

What needs improvement

The course is very comprehensive, but it could be improved by adding more advanced projects or case studies from different industries. This would help students see how machine learning techniques are applied in diverse real-world contexts.

vs Alternatives

I chose Learn Machine Learning Online because the course content was perfectly aligned with my professional needs in the field. It offered up-to-date materials, practical projects, and a clear focus on the skills I wanted to develop in artificial intelligence and data-driven technologies.

What prior knowledge is required before starting these courses?

A basic understanding of programming (especially Python), statistics, and linear algebra is recommended. However, the courses are well-structured and provide clear explanations, so even learners with limited background can follow along and gradually build their skills.

Are there hands-on projects with real datasets included?

Yes, the courses include several hands-on projects that use real-world datasets. These projects allow students to practice data preprocessing, model training, and evaluation in realistic scenarios, making the learning experience both engaging and applicable to real industry challenges.

Do projects help build a portfolio for job applications?

Yes, definitely. The projects are designed to be practical and results-oriented, which makes them perfect for showcasing your skills to potential employers. They provide real examples of your ability to apply machine learning techniques, helping you build a solid portfolio for job applications.

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2 views3mo ago

•2 reviews

What's great

I’ve been taking a data science course with Soledad Mam, and it’s been an incredible learning experience. Her teaching style is clear, engaging, and well-structured, making even complex concepts like machine learning easy to understand.

They combine theory with plenty of practical examples and hands-on exercises, which has really helped me build confidence in using tools like Python, pandas, and scikit-learn.

Overall, I’ve learned so much in a short time and feel much more prepared to apply data science in real-world projects. I highly recommend Soledad Mam to anyone who wants to learn data science the right way!

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1 view4mo ago

•1 review

What's great

The courses are very educational and delve into topics that can be applied to daily activities in data analysis/data science jobs. The learning can be applied to both work and personal projects. Highly recommended.

What needs improvement

Inform us of course updates via email.

vs Alternatives

The content and quality of the courses are quite good. Online education improves skills and closes knowledge gaps between students from different countries.

Do assignments receive feedback or mentor review?

I received feedback through Q&A.

Do courses include graded quizzes or exams for assessment?

Some questions are part of a questionnaire.

Do projects help build a portfolio for job applications?

Of course. They helped me improve my analytical skills.

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4mo ago

•1 review

What's great

Soledad Galli is one of the greatest references in Feature Engineering, Feature Selection, and Data Science overall. It is truly impressive how she combines strong technical expertise with such remarkable teaching skills. It’s really hard to find someone so technically brilliant who can explain things with such clarity and passion. I highly recommend her courses — they’re the best I’ve ever taken in the field of Machine Learning. Plus, her English is very clear and easy to understand, especially for non-native speakers.

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Thanks to Soledad Galli's knowledge.

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4mo ago

•1 review

What's great

This time series forecasting course is excellent! The teaching style makes it easy for beginners to understand and apply the concepts directly to their work. I’ve decided to take the feature engineering course once I finish this one.

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4mo ago

•1 review

I have done multiples courses, all of them with Soledad Galli as a leader. There are easy to understand, very helpful, and they have a lot examples.

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4mo ago

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