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Data Scientist Courses

 Data Science has become a lucrative opportunity for young professionals to pursue as a career. As per the current knowledge that is available in the public domain, data science seems to be involving a lot of technical concepts with extremely esoteric names that make it difficult for people to understand. As a result of which many people who might have remained interested in the field during some phase of their life, would have lost interest and may have decided to drop out. It indeed involves some high-end technology that makes it the most updated technological enhancement of modern times, but a little dedication and basic knowledge of data is enough to start off.

As the market is moving towards a data-centric world, the field of data sciences is flooded with job opportunities. But, the question remains, how can you become a data scientist? The answer lies in an addition to the above question.

What is your qualification? Assuming that you are one of the below-mentioned persons, it is safe to say that data science could be a potentially fruitful career option.

·       A student: It is preferable to have a degree in data science from a reputable university.

·       A professional: A background or prior experience in the technical fields of statistics or data analysis or non-technical fields like business or the economy can help advance a career in data science.

Apart from the above-mentioned criteria, a data scientist is also supposed to possess the following skills:

·       Education: A bachelor’s degree in Computer Science, Social Science or Data Scientist Courses could provide you with a foundation to build your career on. Most data scientists in the professional space also have a Master’s or PhD degree and have also undergone training in Hadoop or big data querying. It is essential to practice the concepts of the topic that you have studied during your degree programs by building apps or writing blogs to stay abreast of the concepts practically.

·       Programming in R: R is an extensively used tool in the field of data science. A large section of data scientists uses R to solve statistical problems.

·       Python Programming: Data Science applications are seldom solved using python. Knowledge of programming using python does gives you a head start.

·       Hadoop Platform: Sometimes, data scientists have to deal with such huge amounts of data that cannot be accommodated on physical servers, this is where Hadoop plays an important role. Hadoop is then used to convey data to multiple points on a system. Hadoop platform can enhance your ability to work in the field.

·       SQL Database: SQL is the best programming language to add, delete or extract data from a database.

·       Apache Spark: This is an efficient and faster alternative to Hadoop.

·       Machine Learning & AI: Artificial Intelligence is used extensively to draw insights from raw and unstructured data.

·       Data Visualization: This gives organizations the tool to work with data directly. It is used to analyze data instantaneously and make critical decisions without any lapse in time.

These skills can take you ahead of your competition and also help you become a better data scientist. Please feel free to enquire more about the Data Scientist Course.

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