Table of Contents
What are some good questions to ask a data scientist?
3. Key Requirements for the Data Science Team
- What software, tools and techniques does the team use regularly?
- What type/size of data is the team working with?
- How much general system admin/engineering is required?
- Does the team develop new algorithms, or are they implementing algorithms?
What questions should I ask my data science mentor?
Ask yourself and potential mentors some questions to determine if this mentorship is a good fit….For a potential mentor:
- What is your feedback style?
- Do you have a mentor and what made that relationship most effective?
- What do you spend most of your time on in your work?
How do you ask your data scientist for data and analytics?
- What question should we ask? As you begin working with your data analysts, be clear about what you hope to achieve.
- What data do we need?
- How do we obtain the data?
- Is the data clean and easy to analyze?
- Is the model too complicated?
What questions would you ask to find out more about the quality of the data?
12 Questions to Ask a Potential Data Quality Vendor
- How old is your data?
- What is the source of your data?
- Data standards: How will you deliver the data?
- Transparency: Can I see the source of the data?
- What is the record by record data age?
- How do you prevent future duplicates?
- How do you handle historic duplicates?
How do you approach a data science problem?
- Step 1: Define the problem. First, it’s necessary to accurately define the data problem that is to be solved.
- Step 2: Decide on an approach.
- Step 3: Collect data.
- Step 4: Analyze data.
- Step 5: Interpret results.
What questions can data science answer?
It’s the simplest and most commonly asked data science question. Here are few typical examples….Here are a few typical examples.
- Which animal is in this image?
- Which aircraft is causing this radar signature?
- What is the topic of this news article?
- What is the mood of this tweet?
- Who is the speaker in this recording?
How do you ask for a data set?
How to ask for datasets
- Don’t be shy. Let’s get this out of the way first.
- Make your purpose clear.
- Make sure you’ve done your homework.
- Make your affiliation clear.
- Find the right point of contact.
- Don’t be a jerk.
- Be respectful.
- Be responsible.
How do you approach data analysis problems?
What makes a good data science problem?
Here are some basic characteristics of a well-defined data problem: The solution to the problem is likely to have enough positive impact to justify the effort. Enough data is available in a usable format. Stakeholders are interested in applying data science to solve the problem.
Is asking the right questions the most important in data science?
This is especially true for Data Science, as some data scientists argue that asking the right questions is the most important process in the analysis — which is why it holds the key to adding value in Data Science. But what exactly is a good question? Let me explain my perspective.
What are some important questions to ask when analyzing data?
In this step, important questions for analyzing data should be focused on: 1 Does is it make sense on a general level? 2 Are the measures I’m seeing in line with what I already know about the business? More
What does a data scientist actually do day to day?
Data science educator Raj Bandyopadhyay, in “ The Data Science Process: What a data scientist actually does day-to-day ,” similarly emphasizes the iterative process of questioning as the first step in a real data science analysis: You start by asking a lot of questions . . .
Is data science scary?
It’s way more scary if you’re not asking questions. Data Science is a constant collaboration with the business and a series of questions and answers that allow you to deliver the analysis/model/data product that the business has in their head.