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Better Career Path

First off, data science training helps candidates choose better career paths. Therefore, these jobs are offered across the world. This training will help you be more skillful, proficient and technological aware.

Certification

Another benefit of this training course is that it will help you get the certificates you need. It will help you get ready for the rising demand for technology and big data skills. Plus, it will empower you with data management technologies like machine learning, Flume, and Hadoop.

If you have the proficiency in these fields, you will have an added advantage over other professionals. Once you become an expert, you can demand a higher pay.

Job Opportunities

Data science training allows you to get a job with one of top companies. Today, many companies hire data science pros, such as Google, eBay, PayPal, Facebook, Apple, Microsoft and Amazon, just to name a few. If you want to land a job with these giants, you may want to get the right data science course for training.

New Positions

The training will enable you to try new positions. Today, most employers adopt big data technologies. According to statistics, there will be twice as many big data technologies by the end of 2019. Therefore, there will be more data science pros down the road.

With this training, you can acquire the skills, knowledge, expertise and technology for a successful career. This field is quite vast, and it will continue to get bigger in the future.

Individual Attention

In colleges, students find it difficult to get individual attention. On the other hand, data science programs are designed in a way that each student gets individual attention. This is because each student is different and has a different understanding of things.

Freedom to Work

As a data science professional, you have a python machine learning large field to work in. You are not restricted to a specific industry only. One of the greatest benefits of being in this field is that you can work with a lot of technologies. Therefore, you have the liberty to work on different projects based on your interest.

Better Salary

If you are a trained professional, you can get a higher salary than other professionals can. In the United States, a data scientist makes $120,000, give or take.

The Takeaway

Today, you can find a lot of educational institutes that offer training programs for pros who want to gain expertise in the field. Therefore, you can opt for the right institute to take a course and gain more knowledge in the field. This will help you gain the expertise and get better at what you do.

Data science is a multidisciplinary approach towards gaining valuable insights from Big data. These insights help an organization in improving its operations and making efficient and intelligent decisions. It makes use of techniques like Machine learning, Cluster analysis, Data mining, Visualization and employs the field of

Mathematics and statistics.

Why Data Science?

With every passing day, the amount of Big Data is increasing giving rise to the requirement of management and processing of this Big data and Data science gains its importance from this requirement. With 2.5 quintillion bytes being produced every day, the skill of organizing this set gives one an added advantage. Companies like Google, Facebook, Microsoft are looking for experts, increasing the job vacancies in the field. The influence of Data science is across all major industries like healthcare, finance, retail, chemical, agriculture, media etc.

Skills Required

Data scientist requires mastering certain skills to excel in the field. These include R programming, Python Coding, Hadoop Platform, SQL Database/Coding, Machine learning. Besides these technical skills, Data scientist needs some soft skills: Analytical ability, Exceptional communication skills, Visualization and presentation skills, Able to work within a team, Strategic Acumen, Problem-solving skills.

Job titles offered by Data Science

Some distinguished job titles offered by Data science are:

-Data Scientist

The role of a data scientist is to handle raw data using suitable techniques. They are required to be well versed in the programming language of R, SAS, Python, SQL, MATLAB, Hive, Pig, Spark. Data scientists are skilled in Distributed Computing, Predictive modeling, Math and Machine learning. Data Scientists are employed by Adobe, Google, and Microsoft.

-Engineer

Their role is to develop, construct, test, and maintain the architecture (such as databases and large-scale processing systems). Data engineers are skilled in Database systems (SQL & NoSQL based), modeling and warehousing solutions. They are employed by Facebook, Amazon, and Spotify.

-Architect

They create blueprints for a data management system to integrate, centralize, protect and maintain data sources. They are skilled in data warehousing solutions, In-depth knowledge of database architecture, data modeling, System development, Extraction Transformation. They are hired by VISA, Logitech.

-Administrator

They ensure that the database is available to all relevant users, is performing properly and is being kept safe. They are skilled in Data modeling and design, Distributed Computing, Database systems (SQL & NoSQL based), Security, and Business Knowledge. They are employed by Twitter, Reddit.

What Data Science has to offer as a career?

Being the "Sexiest Job of the 21st Century", Data science promises a bright career to its professionals. A report by Glassdoor says that Data scientist leads for the best job in America with a median salary of $116,000 and 1,736 job openings for Data Scientists. It offers a career full of achievements and admiration.