Data Analysis

Day 8: Date: 9^th April,2020

Data Analysis:

Data: It is a information processed by the computer. This information may be in the form of image files, text documents,audio files, software programs, any other type of files is called Data.

This data stores in the computer’s files and folders on the computer hard disk.

How do we create the data?

By using input device like keyboard,sensors,mouse, bar code scanners….etc

Sensors are also a part of input devices which measures things on a continuing basis, such as temperature, traffic …

What is Data Analysis?

It is a process of data which can be inspecting, cleansing duplicate data, converting into readable consolidation information.

Data will be stored in the data base servers.

How do we access the files over the internet?

There is one protocol is available FTP (File Transfer Protocol). We can access the files from the web server by using FTP.

Data Processing?

It is a collection  of items of data and manipulation of data which is converted into meaningful information is called Data processing.

By taking the raw data , and converting into meaningful information is called data processing.

Difference between Data processing and Data Analysis?

Taking raw data, combining data together , and converting into readable format is called Data Processing.

By taking the readable format, converting into charts, graphs is called Data Analysis.

Types of Data Analysis:

1.Data mining

2.Business Intelligence

3.Statistical Analysis

4.Predictive Analysis

5.Text Analysis

Phases are involved for Data Analysis:

1.Data Requirement Specification

2. Collecting the Data

3.Process the data

4.Cleaning the data

5.Data Analysis

6.Delivered the Data Analysed

1.Data Requirement Specification: This is done by using any data form, by giving any input parameters, hard copy data, by giving any question. Based on this data requirement is gathered.

2.Collecting the Data: Data is collected from various sources from organizational databases to the information in web pages. This collecting data may not be in proper structure or format.

3.Data processing: Once we collected the data must be processed for Data analysis. This includes structured the data as per our requirement which is relevant to our Analysis tool. For example, the data may be in the form of tables (rows and columns) within the spreadsheet.

4.Cleaning the Data: Once the data is processed, the organized data may be duplicates, this should be cleaned.

5.Data Analysis: Once is processed and cleaned the data, Data Analysis comes to the picture. There are some tools are available to perform Data Analysis, Data Visualization which performs in the graphical format/charts, Regression Analysis, Advance Excel tools, Big Data, Cogno’s tools are available.

6. Delivery Phase : Once the data is analysed, it is ready to share with the identified devices or users/clients.

Related video https://youtu.be/IwIZ-GY4-RA

Next: Big Data

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