Data Science

What are the most important tools and technologies for Data Science?

The question is about Data Science .

Answer:

For Data Science, essential tools are Python and R for data analysis. Key libraries include Pandas, NumPy, and Scikit-learn for processing and machine learning. Data Scientists also use Jupyter Notebooks for advanced analytics and rely on SQL for database querying.

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Maksym is a Data Scientist with four years of experience specializing in machine learning and data analysis. He has developed expertise in deep learning frameworks such as PyTorch and TensorFlow, and proficiently uses librari... Read More

Level
Middle
Availability
40 h/w
Experience
4 yrs.
English
B2
Alexander C
  • Rasterio
  • Shapely
  • GeoPandas
  • ScikitLearn
  • ...

Eight years in data science with a strong lean toward computer vision and geospatial applications. I've spent a good chunk of my career working on drone and satellite imagery - from precision agriculture with SeeTree to UAV n... Read More

Level
Senior
Availability
40 h/w
Experience
8 yrs.
English
C1

Nine years developing data science solutions across agritech, defence, fintech, and sports analytics. Built Quantum's entire DS department from scratch — hired over 30 people, created learning pathways, and mentored MSc and P... Read More

Level
Senior
Availability
40 h/w
Experience
9 yrs.
English
C1
Victoriia S.

Victoriia is a skilled Flutter Developer with 4 years of experience in mobile application development. She specializes in frameworks such as Flutter, leveraging JavaScript, DART, and utilizes databases like MySQL and Firebase... Read More

Level
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Availability
20 - 30 h/w
Experience
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English
C1
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