Data Analyst's Numbers Regret
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Description
Book Introduction
Now is the data age
Every employee should develop data literacy.
This book contains comics and text about common episodes that occur in the workplace due to misunderstandings about data.
So it's both fun and informative.
It teaches you the minimum knowledge you need to know to survive as a working professional in the data age, including causality and correlation, A/B testing, and averages.
Even if the word 'data' is not included in the job title, using data is fundamental.
Let's invest just 2 hours.
Two hours of fun will be worth a thousand dollars at work.
Welcome to the Golden Rabbit [Miscellaneous Toon] channel.
Please look forward to the various events that will be held.
http://pf.kakao.com/_xlxgkIG
Every employee should develop data literacy.
This book contains comics and text about common episodes that occur in the workplace due to misunderstandings about data.
So it's both fun and informative.
It teaches you the minimum knowledge you need to know to survive as a working professional in the data age, including causality and correlation, A/B testing, and averages.
Even if the word 'data' is not included in the job title, using data is fundamental.
Let's invest just 2 hours.
Two hours of fun will be worth a thousand dollars at work.
Welcome to the Golden Rabbit [Miscellaneous Toon] channel.
Please look forward to the various events that will be held.
http://pf.kakao.com/_xlxgkIG
- You can preview some of the book's contents.
Preview
index
Episode 1.
Correlation and causation
____Did ads increase DAU?
Episode 2.
uncertainty of numbers
____You can't say that a larger number is bigger
Episode 3.
Parameters and samples
____The parameters are sufficient, so why not just use them?
Episode 4.
Probability and Distribution
____Was it right then but wrong now?
Episode 5.
Decision making through experimentation
____of the experiment, by the experiment, for the experiment
Episode 6.
Reading graphs
____The lie that seeing is believing
Episode 7.
Draw a trend line
____Excel said, "Let there be a trend line."
Episode 8.
time series data
____Tomorrow, I meet yesterday's data
Episode 9.
The trap of star ratings
____My 3 points and your 3 points are different
Episode 10.
The utility of demographic information
____This ad was targeted at women in their 30s?
Episode 11.
Conditional probability
____Find out the probability that the restaurant is good
Episode 12.
Improved accuracy through range limitation
____How to always say the right thing
Episode 13.
What is average?
____The Trap of Average Salary 281
Episode 14.
data literacy
Reading and writing ____data
Mini-Dictionary of Statistical Terms
Correlation and causation
____Did ads increase DAU?
Episode 2.
uncertainty of numbers
____You can't say that a larger number is bigger
Episode 3.
Parameters and samples
____The parameters are sufficient, so why not just use them?
Episode 4.
Probability and Distribution
____Was it right then but wrong now?
Episode 5.
Decision making through experimentation
____of the experiment, by the experiment, for the experiment
Episode 6.
Reading graphs
____The lie that seeing is believing
Episode 7.
Draw a trend line
____Excel said, "Let there be a trend line."
Episode 8.
time series data
____Tomorrow, I meet yesterday's data
Episode 9.
The trap of star ratings
____My 3 points and your 3 points are different
Episode 10.
The utility of demographic information
____This ad was targeted at women in their 30s?
Episode 11.
Conditional probability
____Find out the probability that the restaurant is good
Episode 12.
Improved accuracy through range limitation
____How to always say the right thing
Episode 13.
What is average?
____The Trap of Average Salary 281
Episode 14.
data literacy
Reading and writing ____data
Mini-Dictionary of Statistical Terms
Detailed image
Publisher's Review
[We really need data literacy]
'Data literacy' refers to the ability to 'read, write, speak, and listen' using data, just like general literacy.
Although data usage has become widespread today because we easily assume that 'data only tells the truth', we are reminded of this proposition along with Disraeli's famous saying, "There are three kinds of lies in the world.
It is also necessary to remember the sentence, “Lies, damned lies, and statistics.”
Developing data literacy doesn't require rigorous examination of every data analysis result.
For now, it is sufficient to simply determine whether this material should be questioned.
3 Suggestions for Developing Data Literacy
1.
First, identify the source and purpose of the data.
2.
Make sure there are no missing parts in the data.
3.
Check that there are no loopholes in the logic.
[Features of the book in numbers]
0.
It's OK if you don't know anything
You don't even need to know the 'ㄷ' of data analysis.
Develop data literacy through common episodes from everyday life.
2.
Fun and knowledge at the same time
If you read it twice, once as a cartoon and once as text, it will stick in your head more easily.
22.
Mini-Dictionary of Statistical Terms
A mini-dictionary is provided as an appendix, allowing you to easily look up the 22 statistical terms mentioned in the text.
'Data literacy' refers to the ability to 'read, write, speak, and listen' using data, just like general literacy.
Although data usage has become widespread today because we easily assume that 'data only tells the truth', we are reminded of this proposition along with Disraeli's famous saying, "There are three kinds of lies in the world.
It is also necessary to remember the sentence, “Lies, damned lies, and statistics.”
Developing data literacy doesn't require rigorous examination of every data analysis result.
For now, it is sufficient to simply determine whether this material should be questioned.
3 Suggestions for Developing Data Literacy
1.
First, identify the source and purpose of the data.
2.
Make sure there are no missing parts in the data.
3.
Check that there are no loopholes in the logic.
[Features of the book in numbers]
0.
It's OK if you don't know anything
You don't even need to know the 'ㄷ' of data analysis.
Develop data literacy through common episodes from everyday life.
2.
Fun and knowledge at the same time
If you read it twice, once as a cartoon and once as text, it will stick in your head more easily.
22.
Mini-Dictionary of Statistical Terms
A mini-dictionary is provided as an appendix, allowing you to easily look up the 22 statistical terms mentioned in the text.
GOODS SPECIFICS
- Publication date: August 10, 2021
- Page count, weight, size: 344 pages | 147*210*16mm
- ISBN13: 9791197149887
- ISBN10: 1197149880
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