10 - Conclusion Flashcards

1
Q

What quote by Winston Churchill is referenced in the conclusion?

A

“Now this is not the end. It is not even the beginning of the end. But it is, perhaps, the end of the beginning.”

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2
Q

What is the primary focus of the exploration in the chapter?

A

What is critical to the data science customer.

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3
Q

What are the key areas covered in the exploration of data science?

A
  • Tools of the trade
  • Data workflow
  • Data storage methods
  • Coding languages
  • Data products
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4
Q

Which coding languages are emphasized for data scientists?

A
  • SQL
  • Python
  • R
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5
Q

What is the significance of project management in data science projects?

A

Establishing milestones, timelines, roles, responsibilities, and identifying risks.

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6
Q

What is the purpose of exploratory data analysis?

A

It is often the first step before developing predictive models.

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7
Q

What statistical concepts are introduced in the chapter?

A
  • Effect sizes
  • p-values
  • Linear regression
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8
Q

What is unsupervised machine learning?

A

Techniques that group or cluster observations using data without preset rules.

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9
Q

What are some applications of supervised machine learning?

A
  • Predicting sales
  • Charge-offs
  • Risk assessment
  • Product utilization
  • Spam detection
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10
Q

What is A/B testing?

A

A method to assess the impact of a program by comparing two similar groups.

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11
Q

What ethical considerations are discussed in relation to data science?

A

Analyzing moral problems related to data, algorithms, and their implementation.

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12
Q

How did Kamala feel about her career growth?

A

Proud of her collaborations and the impact of her work.

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13
Q

What does Kamala want to expand in her team?

A

Include members from both clinical/business and data science teams.

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14
Q

What training opportunities does Kamala consider for her development?

A
  • Online courses
  • Executive education courses
  • Corporate leadership training
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15
Q

What shift does Steve consider in his career?

A

Focusing more on programming and data science rather than project management.

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16
Q

What online platforms does Brett recommend for learning data science?

A
  • Kaggle
  • Coursera
  • EdX
17
Q

What does Steve believe he needs to gain more of?

A

Real-world experience in data science programming.

18
Q

What question does Brett remind Steve about career direction?

A

If you don’t know where you are going, then any road will take you there.

19
Q

What should readers consider about their next steps in data science?

A

Whether to enhance management skills, delve into technical aspects, or create a unique path.

20
Q

Fill in the blank: The best practices of project management are critical to ensuring _______.

A

[project success]