A collection of learning resources curated by the DareData network.
| Name | By | Description | Time | Difficulty | Price |
|---|---|---|---|---|---|
| Starters Academy | LDSA | Learn the fundamentals of data science and specialize on data wrangling, time series forecasting, NLP and model deployment. This course prepares you for a career in data science with hands-on projects. | 8 months | Intermediate | € 500 |
| Data Scientist: Machine Learning Specialist | Codecademy | Gain skills in data analysis, machine learning, neural networks, and more, while working on practical projects for real-world application. | 35 weeks | Beginner | Subscription |
| Machine Learning Zoomcamp | DatatalksClub | Covers machine learning algorithms in Python and model deployment using Flask, TensorFlow, and Kubernetes, with a focus on real-world application. | 4 months | Beginner | Free |
| Deep Learning Specialization | Coursera / DeepLearning.ai | Up to date version of the most famous Deep Learning MOOC, learn how to create your own Neural Networks. | 3 months | Intermediate | Free |
| Name | By | Description | Category | Added by | Comments |
|---|---|---|---|---|---|
| The Power of Habit | Charles Duhigg | In The Power of Habit, business reporter Charles Duhigg takes us to the thrilling edge of scientific discoveries that explain why habits exist and how they can be changed. | Management&Business | Ivo | Great to understand how to build more powerful habits. If you are having trouble setting routines of work, you should give it a try! |
| Name | By | Description |
|---|---|---|
| DareData Foundations LP | DareData Engineering | Where Data Scientists go to get out of notebooks! |
| DareData PyTorch Fundamentals | DareData Engineering | Repo with course on PyTorch Fundamentals, where you'll learn how to work with tensors and the deep learning library. |