data analytics course

WHAT IS DATA ANALYTICS?

Data analytics is a branch of computer technology that deals with analyzing and processing of data to research on patterns and determine probable outcomes. Data analytics is a fast-growing sector of technology and in the future, it could take over business and the working of companies.

Data analytics involves organization and processing of data for example, data related to consumer feedback on products or services, sales of a product or service or market economics. This data is used to predict probable outcomes by detection of patterns or methods.

UNDERSTANDING THE PROCESS OF DATA ANALYTICS

Data analytics can be broken down into four different types-descriptive analytics, diagnostic analytics, prescriptive analytics and predictive analytics. Descriptive analytics describes any changes observed over a period of time, for example, if the product is selling more or less etc.

Diagnostic analysis analyses the causes of the outcomes for example, factors affecting sales or services etc. Prescriptive analysis analyses the data and suggests a course of action. Predictive analysis is used to predict the outcome of the data analyzed and how the factors affect a product or service.

USEFULNESS OF DATA ANALYTICS

Data analytics is extremely useful in corporate companies and businesses where turnarounds often occur. Proper data analytics can help businesses review their products and services, the sales and consumer feedback. This leads to healthy market competition among companies which will lead to new and better products and services for the consumers.

There are many common sectors that employ the use of data analytics-hospitality sector, travel and tourism industry, shopping and retail industry and the healthcare sector. Industries collect feedback and data from customers, process the data and analyze it for patterns and outcomes so as to improve their quality of products and services by performance optimization.

SKILLS NEEDED TO BE A DATA ANALYST

Data analytics is an upcoming and interesting field of technology that has garnered the attraction of many students and engineers. To be a good data analyst one needs to have exemplary programming/coding skills along with relevant skills in statistics, problem solving, mathematics, skills in machine learning, data intuition, skills in data wrangling, data visualization and communication skills.

Knowledge of programming languages like Python and R is extremely important for a data analyst along with the knack of collecting raw data and converting it to a new and different format for analysis which is called as data wrangling.

DATA ANALYTICS IN THE FUTURE

The future of data analytics is very bright. This sector is relatively new and different from the normal technical software jobs. It is also very interesting for engineers and students who love programming and statistics. More and more engineers these days are opting for data analytics as it helps improve job prospects in the future.

Data analysis also helps businesses improve their ventures and helps in easy optimization of data related to goods and services. Overall, data analytics is one of the most useful technological branches in the field of business and trade.

RESOURCE BOX

There are many online websites and learning portals that help a person get a proper data analytics certification course done. This will improve job prospects and will also give a new learning insight to a student or engineer to the world of data analytics.

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