Data Scientist and Analyst Can look for meaningful changes in data and Statistics can be used to derive meaningful insights from Data. For more info: https://datamites.com/data-science-course-training-bangalore/

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2. Categorical Data
Categorical data refers to the classification of data
into various categories such as race, gender,
language, nationality etc.
Numerical Data
Numerical data are the ones which are expressed in
terms of numbers.
Types of Data
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3. Probability Distribution Functions
Probability talks about the likeliness of the
occurrence and non-occurrence of an event.
A probability function helps in describing the
distribution of a random variable and is denoted as
pf.
For example, the probability function of X can be
denoted as
pX: R→[0,1]
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4. Measures of Variability
Standard Deviation
Square root of variance is known as Standard deviation.
Its shows the amount of deviation from the mean value.
Variance
It is obtained by taking the average of squared the
deviation.
Range
It is the difference between two values, one being the
maximum and the other minimum in a dataset.
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5. Measures of Variability
➔ Adjusted Square
➔ It is the modified version of the R square.It is adjusted
based on the number of predictors in the model.
➔ Z- Score
➔ It refers to the distance of the mean from the data
points. It is the number of standard deviations from the
mean. A Z score might include 3 or more standard
deviations.
➔ R Squared
➔ It explains the quantity of variation of a dependent
variable, with the help of an independent variable.
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Measurements of
Relationships Between Variables
Correlation
It is the measurement of the relationship between two
variables. Correlation ranges from -1 to 1. Basically, it
talks about how well two data is related to each other.
Covariance
It is the measurement of relationship between two
random variables. In other words it measures the
variance between two variables.
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