Data science course in Aurangabad

Introduction

Data analytics is the process of assembling data and engaging various scientific tools to make a conclusion, eventually acting on it. It also involves problem-solving skills to make better decision-making. Data analytics are used by researchers, scientists and even companies to authenticate their theories and plans, improve operational efficiency, enhance their customer service and increase their profits.

Data is only available in raw format for which it is transformed into a usable format for gaining information, making conclusions and to support decision making. It involves people with skills like computer knowledge, programming knowledge, collecting required data, etc. 

Click here to know more about Data science course in Aurangabad

Qualifications and Qualities

Data analytics courses are available after completing undergraduate courses as a stream of specialization. The candidate applying for a data analytics course must have scored a minimum of 50%.  There is no specific degree requirement for applying for a data analytics course. As the competition is very high, companies usually end up choosing candidates with math, computer and science backgrounds.

Data analytics requires candidates with strong, logical reasoning capabilities and thorough knowledge of various computer languages like querying language (SQL, Hive, Pig), scripting language (Python, Mat lab), statistical language (R, SAS, SPSS), and Excel. Not only does a candidate require computer knowledge, he also must hold some soft skills within himself. He must have good communication skills so that he can easily communicate with anyone, whether it is a technical audience or non-technical audience. His presentation skills must be on point, meaning he must be well structured and planned so that he could be easily understood. Therefore, computer knowledge, reasoning, and good communication skills are the most important qualities to become a data analyst. 

Types of Job Roles in Data Analytics Field

 

• Data scientist

Data scientists clean and classify types of scientific data for use on specific projects with the help of scientific tools such as Python, SAS, and R. Data scientists have to do a lot of work to help the developers for achieving their special goal or objective.

 

• Data Architect 

Data architects design the foundation of a scientific project which is later undertaken by a company or a developer. Data architects collect, maintain and protect the data sources from the various data managing system and companies. Data architects are supposed to ensure that all the data is available and secure.

 

• Data Engineer

Data engineers build mock models and algorithms according to the blueprints designed by the data architect. Their responsibility is to test all the possibilities designed to validate the research provided by the data scientist and data architect.

 

• Data Analyst 

A data analyst’s work is to provide all the important comprehension by extracting the given data provided for a particular project. The responsibility also includes identifying the modern trends and testing all the data on a predictive basis in different conditions. They also have to demonstrate all the works in a meaningful interface through charts, graphs, reports, etc. to the respective authority.

 

• Statistician 

The statistician collects and analyzes all the data with the help of scientifically proven statistics methodologies. Their work is to tell when and where the given data has to be used in the situations provided. 

 

• Database Administrator 

The work of a database administrator is to store all the data and provide it to the respective authorities. They have to secure, store and organize all the data to keep the proper flow of data to authorities. 

Click here to know more about Data science course in Aurangabad