Organizer: Cognitiveclass Powered by IBM Developer Skills Network.
About the Course
- Find out the truth about what Data Science Congnitive Class Course is Hear from real practitioners telling real stories about what it means to work in data science. This course was formerly named Data Science 101.
- Estimated Effort: 11 Hours
- Level: Beginner
- Skills You Will Learn: Data Science
- Language: English
- This course is self-paced.
- It can be taken at any time.
- It can be audited as many times as you wish.
- Certificate & Budges after Completion Course.
- RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE: None
- REQUIREMENTS: None
COURSE SYLLABUS
Module 1 – Defining Data Science
- What is data science?
- There are many paths to data science
- Any advice for a new data scientist?
- What is the cloud?
- “Data Science: The Sexiest Job in the 21st Century”
Module 2 – What do data science people do?
- A day in the life of a data science person
- R versus Python?
- Data science tools and technology
- “Regression”
Module 3 – Data Science in Business
- How should companies get started in data science?
- Tips for recruiting data science people
- “The Final Deliverable”
Module 4 – Use Cases for Data Science
- Applications for data science
- “The Report Structure”
Module 5 -Data Science People
- Things data science people say
- “What Makes Someone a Data Scientist?”
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At a Glance
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year.
Since then, people working in data science have carved out a unique and distinct field for the work they do, this field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
100% Correct Answers Available Here
Module 1 – Defining Data Science
Question 1. From the reading In the report by the McKinsey Global Institute, by 2018, it is projected that there will be a shortage of people with deep analytical skills in the United States. What is the size of this shortage?
140 000 – 190 000 people
120 000
20 000 – 50 000 people
800 000 – 900 000 people
3 – 6 million people
Ans. 140 000 – 190 000 people
Question 2. What has changed from the past to make Data science an in-demand occupation?
There is now a lack of data
Laws have changed
Vast amount of data date being created
The advent of the free market
Ans. Vast amount of data date being created
Question 3. What is the minimum education requirement to become a data scientist?
You must have a Degree in Computer Science
You must have a masters degree in Statistics
You must have a Ph.D. in Machine learning
The above are all helpful, but they are not necessary to become a data scientist, education backgrounds of data scientists vary
Ans. The above are all helpful, but they are not necessary to become a data scientist, education backgrounds of data scientists vary
Module 2 – What do data science people do?
Question 1. What is structured data??
Data that can be stored in a database or some tabular form
Images and video
Segments of text
Audio data
Ans. Data that can be stored in a database or some tabular form
Question 2. What does the following formula represent: Base fair + Time x (Time in cab)
The possible formula used in regression analysis to determine the cost of a cab ride
The formula used to build a recommender system for rating a cab service
A possible formula used in regression analysis used to determine the price of a house
What is the impact of lot size on housing price?
Ans. The possible formula used in regression analysis to determine the cost of a cab ride
Question 3. In the reading, what is an example of a question that can be put to a regression analysis?
Do homes with brick exterior sell in rural areas?
What is the impact of lot size on housing price?
What are typical land taxes in a house sale?
How much does a finished basement cost?
How much should a house near a park cost?
Ans. What is the impact of lot size on housing price?
Module 3 – Data Science in Business
Question 1. Complete the following sentence that best explains why business needs to capture data: At the end of the day, for businesses, they know one thing, that if they are unable to measure something :
they are unable to graph it
they are unable to improve it
they are unable to show compliance with tax laws
they are unable to facilitate meetings between sales and marketing
Ans. they are unable to improve it
Question 2. A business should never:
delete data
use Machen learning
well document data
use PowerPoint to deliver a message
Ans. delete data
Question 3. In the reading above, what is the role of the data scientist?
Email the stakeholders about the analysis
Manage a team of analysts to create a model
Develop the strategy to fix the problems in the findings
Use the insights to build the narrative to communicate the findings
Use the data to tell the story the CEO wants to tell
Ans. Use the insights to build the narrative to communicate the findings
Module 4 – Use Cases for Data Science
Question 1. What popular product is primarily based on data science:
smartphone
Google search
Space X’s rockets
Tesla’s Electric Cars
Ans. Google search
Question 2. From the readings The results section is where you present:
The empirical findings
R Squared
The conclusion
The contributors
The methods used
Ans. The empirical findings
Question 3. Complete the sentence: Predictions are useful 😕
they are always correct
but you need lots of data
but they must come from a complicated model
they are always wrong
Ans. they are always wrong
Module 5 – Data Science People
Question 1. In the reading, how does the author define ‘data science’?
Data science is way of understanding things, of understanding the world
Data science is a physical science like physics or chemistry
Data science is some data and more science
Data science is what data scientists do
Data science is the art of uncovering the hidden secrets in data
Ans. Data science is what data scientists do
Question 2. In the reading , what is admirable about Dr. Patil’s definition of a ‘data scientist’?
His definition limits data science to activities involving machine learning
His definition is only for people who program in Python
His definition excludes statistics
His definition is about weaving strong narratives into analytics
His definition is inclusive of individuals from various academic backgrounds and training
Ans. His definition is inclusive of individuals from various academic backgrounds and training
Question 3. A good data scientist should ?
calculate confidence intervals
be sceptical
use complicated models
only use big data
Ans.be sceptical
Data Science 101 Final Exam Answers – Cognitive Class
Question 1. In the reading, the output of a data mining exercise largely depends on:
The engineer
The programming language used
The quality of the data
The scope of the project
The data scientist
Ans. The quality of the data
Question 2. What has changed from the past to make Data science an in-demand occupation?
There is now a lack of data
Laws have changed
Vast amount of data date being created
The advent of the free market
Ans. Vast amount of data date being created
Question 3. You develop an algorithm to predict rainy days, your algorithm predicts a rainy day, but the prediction is false. What is the following an example of ?
the r squared
ture negatives
false positive
generated values
Ans. false positive
Question 4. What is an example of regression problem
Finding an object in an image
Reducing the size of a dataset
Predicting the price of a house using the square footage
Finding clusters in the data
Ans. Predicting the price of a house using the square footage
Question 5. What should be a prime concern for storing data?
Data safety and privacy
Hiring the right database manager
The size of the files
The physical location of the server
Hadoop clusters
Ans. Data safety and privacy
Question 6. What is a good starting point for data mining?
Data Visualization
Writing a data dictionary
Non-parametric methods
Creating a relational database
Machine learning
Ans. Data Visualization
Question 7. Complete the following sentence that best explains why business needs to capture data: At the end of the day, for businesses, they know one thing, that if they are unable to measure something :
they are unable to graph it
they are unable to improve it
they are unable to show compliance with tax laws
they are unable to facilitate meetings between sales and marketing
Ans. they are unable to improve it
Question 8. When establishing data mining goals, the accuracy expected from the results also influences the:
The timelines for the project
The scope of the project
The costs
The presentation
Data scientist
Ans. The costs
Question 9. When processing data, what factor can lead to errors in data?
Synchronizing the database
Changing services providers
Renaming variables
Human error
Overfitting
Ans. Human error
Question 10. A good data scientist should ?
calculate confidence intervals
be sceptical
use complicated models
only use big data
Ans. be sceptical