Data Analyst Course

An illustrative Analysis Of The Different Process In Data Analysts

You can never become a successful data analyst unless you know the various procedure regarding the approach towards the data. Success doesn’t come simply by entering the dream company or working in the dream position in any of the companies. Life happens outside of the comfort zone. You have to put some extraordinary efforts with consistency to lead a successful life as a data analyst.

The various process in data analysts are:

Data Visualization
Forecasting
Text Mining
Data Mining
Statistical Analysis

Data visualization is the graphical representation of data in the form of images (graphs, chart and sometimes both) that can easily communicate relationships among the represented data to the viewers who are looking forward to getting some insights' knowledge by the process of systematic mapping between the graphic marks as well as the data values in the process of the creation of user-friendly visualization. Because in this process, the first and most important thing lies in knowing your audience and understanding their behaviors so that you can easily approach them.

Forecasting is the process of predicting the future based on the past as well as the present data by analyzing the current trends in the market. Normally business uses forecasting methods to determine how to allocates their budget or plans for the expenses for the upcoming period. It is because forecasting has many advantages, generally the decisions or the events that can affect a company, a lot such as sales expectations, to increase or decrease the price or share in the company. Plus, forecasting provides a very crucial benchmark for firms, that needs a long-term perspective of various operations.

Text Mining, in other words, text analysis is a very crucial process of unstructured text data into some meaningful and insightful data to take some action. Because in the case of text mining it uses different technologies to bring automation in the data process to generate some valuable insights, enabling firms to make different data-driven decisions to make it simple and easy to recognize and easy to understand for the entire process of text mining.

Data Mining is a bit different from the text mining process as the text mining deals with the text form of data. But data mining deals with all the forms of data in the process of discovering patterns in the large datasets with the implementations of machine learning, artificial intelligence, computer programming, statistics, and probability as well.

Statistical analysis is a very important sub-topics under the domain of data analytics. It is the process of scrutinizing every data in the set of items from which various samples were drawn. In simple words, it is the process of analyzation of old and historical data to find future trends to maximize the profits or Return On Investment looking at the future.

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