Data Science| season one, lesson 3| Data Science tools and processes by @nova001 | 10% to steem.skillshare

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Tools for Data Science

Building, evaluating, deploying, and monitoring machine learning models can be quite a complex process. It is for this reason that new tools for Data Science are constantly being developed. Data scientists use a variety of tools, most commonly open source notepads. Notepads are web-based applications for programming and executing code, visualizing data, and displaying results in a single environment.

Some of the most popular notepads include

• Jupyter
• RStudio,
• Zeppelin.

Notepads are great for doing analysis, but not easy to share. Platforms for Data Science are designed to solve this problem.

To determine which Data Science tool is right for you, it's important to answer the following questions: What languages ​​do your data scientists use? What methods of work do they prefer? What data sources do they use?

For example, some users prefer to have a data source-independent service built on top of open source libraries. Others prefer the speed of machine learning algorithms running on databases

Who controls Data Science processes?

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In most companies, Data Science is typically overseen by leaders in three disciplines.

Business leader.

These managers work with the Data Science team to define the problem and develop an analysis strategy. A business leader can be the head of a department (such as marketing, commercial, or finance) and lead the Data Science team. They coordinate the work on the project together with the leaders of the Data Science and IT group.

IT manager.

Leading CEOs are responsible for the infrastructure and architecture that Data Science needs to run. They continuously monitor operations and resources to ensure efficiency and safety. They may also be responsible for building and updating the IT platform for the Data Science team.

Head of the Data Science group.

These managers oversee the day-to-day work of the Data Science team. They create teams that can balance team development with project planning and monitoring.