Define Business Problem step in Data Analytics process step

The process of analytics begins with defining business problem. During this step, questions are asked from business stakeholders and business problems of stakeholders are understood and documented.
To solve business problems, we analyze data and find answers. 

Data Acquisition step in Data Analytics process step

Data Acquisition step is used to collect data from various sources for analysis to answer the question raised in Business Definition Step.

Data Acquisition step involves

• File Handling
• Web Scraping
• SQL Data 

Some examples of Data Acquisition steps are :

• Twitter, Facebook, LinkedIn, and other social media and information sites provide streaming APIs. 
• Server logs can be extracted from enterprise system servers to analyze and optimize application performance. 

Data Analytics consists of below processes 

1. Business Problem
2. Data Acquistion
3. Data Wrangling
4. Explanatory Data Analysis
5. Data exploration
6. Conclusion or Prediction
7. Communication

• Both R and Python are open-source programming languages.  
• New libraries and tools are continuously added to both R and Python. 
• Most of the tasks that can be performed through R can also be done using Python. 
• R language is mainly used for statistical analysis whereas Python provides a more general approach to data science.
• R is a language specifically built by statisticians and is better for analytical tasks.
•  Another difference between R and other languages is the array of outputs and visuals available for data analysis.

Prescriptive Analytics 

Prescriptive Analytics is considered the final phase of business analytics. This specifies the best course of actions for business activities in the form of output of prescriptive model.

Predictive Analytics 

Predictive Analytics  includes technique that predicts the future by using models on the past data or determine impact of one variable or another.

Descriptive Analytics

Descriptive Analytics includes technique that explains the past.

Business Analytics

Business Analytics is a scientific process which converts data into insights.

Types of Business Analytics

Data Science is also known as data driven data science. It is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms ( either structured or unstructured data )

Types of Business Analytics

1. Descriptive Analytics
2. Predictive Analytics
3. Prescriptive Analytics