What data analysis is ?
First we should know , what data is here ?
Data can be a qualitative or quantitative values . and also data is know as the information about person or any object .
let, suppose we have a service type company . In one month whatever we serve , it store in the database
like (customer name, customer address, product name ) etc. then these all things which are stored will work as a data for our company.
And analysis is the term related to the forecasting . by using data , when we predict or make easy understandable approach of any data is called analysis. There are multiple ways to analysis our data like (through excel application we can make chart , by using data science concept "matplotlib or pandas " we can analyse our data ) .
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Why do we need to analyse our data ?
Now , again try to understand by above example .
According to above example , if we have data stored in the database then what is the use of that data , why we are storing data into the database .
So, we stored data into the databases to forecasting . that means to predict values or to make decisions
because , growth of any company depends on the right decisions at the right time .
let's take an example to understand that how data analysis is used to make decisions :-
As we know any human take decisions on the basis of his/her past incidents like , Suppose u are going on the way and u have two ways to reach at your destination point . If u choose first way and u faced many barriers over there then in future , If u will go on the same destination then u will remember last time and after analyse u will go for second way to reach at your destination point .
So, here u make right decision on the basis of past data .
As similar , If we are working for any company then due to of data analyst we have responsibilities to make right decisions over the last time data or to remove all the unwanted things from the data.
Data analysis is required because of growth of company . In small companies it may be not required but those company who is national or multinational companies they without data analysis can't be serve .
because , the multinational companies produce TB(terabytes ) of data , which is not easy to handle .
that's by data analysis is used .
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How can be a data analyst ?
There are some concepts u should know before to be a data analyst which as follows :-
1. Data extracting.
2. Data mining
3. Data transformation
3. Data cleaning
4. How to representation data graphically
1. Data extracting : Here the means of extracting data that If we want to do analysis on data then we should know that where from we have to take/extract data
So , to fetch data from the source is known as the data extraction.
2. Data mining : It is similar to the data extracting or we can say that extracting of data is the subpart of data mining . because data mining is the concept which says that to mine required data from all the different sources .
3. Data transformation : After mining we have to work with this phase of data analyst which says that all the files or data which comes from different sources convert that into one global extensions which can make easy manipulation of data .
4. Data cleaning : This term comes under the feature engineering . which means to make data good and useful . In this phase of data cleaning we remove all the unwanted thing or values from the datasets .
or we can say to remove all the outliers .
5. To represent data data analyst use some libraries like matplotlib to make charts ('bar char , pie chart , histograms etc') over the given datasets .
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And , There are also many tools available over the internet which can help u to represent your data easily.
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