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Tutor profile: James C.

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James C.
Tutor for 3 years
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Questions

Subject: R Programming

TutorMe
Question:

Describe the purpose of R.

Inactive
James C.
Answer:

R is a strong analytical coding language to further delve into data. It has a large network of packages to scrape data from websites to providing functions for machine learning. It is a great tool to provide better analysis than just Excel graphs and can make handling large or multiple datasets a breeze. A very easy to learn language with multitudes of uses for any business.

Subject: Microsoft Suite

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Question:

How can I use the Microsoft Suite to advance my career?

Inactive
James C.
Answer:

While most people just assume that Microsoft Excel is the most important feature of the Microsoft Suite, it is only a piece of the greater capabilities of the Microsoft products. Microsoft Powerpoint is one of the best presentation and design tools a user can have access to. The ability to create and develop visual based presentations with loads of features is key to nailing a pitch to a client. Microsoft Word is also a go-to for project reports. Word has loads of features to design in-depth reports, with tables of contents and numbering can add professionalism to any report. Not only that, it has prebuilt designs for many other business papers, including pamphlets and contracts. Combined with the power of Excel, the mighty data storage and analytics tool, can solve many problems for businesses.

Subject: Data Science

TutorMe
Question:

What are the most important parts to data science?

Inactive
James C.
Answer:

Data science is a multifaceted field. The first aspect of data science is gathering and maintaining quality data. Differentiating quantitative and qualitative data and evaluating the cleanliness and accuracy of the data plays into the ways it is kept in data management and the ability to analyze said data. The other side of the field is about turning data into information, usable by the party that requires the data. Understanding the audience and use of the data is key to being a successful data scientist.

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