
An Introduction to Data 1

Lecture1.1

Quiz1.1

Lecture1.2

Lecture1.3


Data Dimensionality and Space 0

Lecture2.1

Lecture2.2

Lecture2.3

Lecture2.4


Proximity in Data Science Context 0

Lecture3.1

Lecture3.2

Lecture3.3

Lecture3.4

Lecture3.5


Clustering algorithms 8

Lecture4.1

Quiz4.1

Lecture4.2

Lecture4.3

Lecture4.4

Lecture4.5

Lecture4.6

Lecture4.7

Lecture4.8


Classification algorithms 3
Can data speak?
Given the following data table regarding employees, we will try to retrieve interesting information from it.
Name  Salary ($)  Age (Years) 
Jane  90000  52 
John  85000  48 
Delilah  75000  32 
Dave  90000  53 
Ellen  82000  44 
Closely look at the table for several minutes. Then, write down anything interesting you can find.
Here is what I could find from the table above. You can see how many of your findings match with the findings listed below and how many of your findings are not listed below. Please feel free to write your additional findings in the Comments section.
 Jane and Dave earn the highest salary.
 Delilah earns the least.
 Jane and Dave are the oldest people in the group.
 Delilah is the youngest among all the employees in the table.
These are all interesting findings. What else?
Will the following statement be a correct one based on the information provided in the table?
Older people earn more in the company from where the data was collected.
It is indeed a correct piece of information based on the data provided to us in the table.
Now, let us go back to the definition: Data refers to “facts and statistics collected for reference or analysis.”
This table has facts. This table is collected from a company. We used the table for analysis. We revealed that the company appreciates experienced employees. Basically, the data reflects a general trend –
Experience, wisdom, (and money, which is the salary in this case) come with age.
There can be debates regarding the conclusion but the main point is — Data Speaks. Data gives us insights. Data gives us those lightbulb moments.