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360DigiTMG Provides the Data Science Course with 100% Job Placement Assistance. Get International Data Science Certification from Malaysia and UK.
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Data science and the skills needed Data scientists tend to be very educated. Some studies have concluded that forty-six percent of them have a PhD while eighty eight percent have Masters. The reason this is the case is that being a data scientist requires in-depth knowledge. There have been a few notable exceptions nonetheless. Most data scientists have a bachelors in social sciences, computer science, statistics or physical sciences. Math and statistics, engineering and computer science are the most commonly opted fields of study. The skills you need to become a data scientist are taught in these, which help one analyze and process big data. After completing your degree, it is advisable to pursue studying further. Some data scientists take up masters and PhDs after these and later go on to take online courses or separate courses in data science. These courses help in teaching Hadoop and Big Data querying. Hence, taking up a course in the fields of Mathematics, astrophysics, Data science or any similar field. Your degree program will help you acquire some of the necessary skills to become a data scientist. Some data scientists start putting to use what they learned by building apps, exploring data analysis or starting a blog to learn more about the field. Python coding Python is one of the most important coding languages required in the field of data science. C/C++, java or Perl are some others that may be required while performing operations. Being a very able language, python can be used for nearly every step throughout the process of data mining and organization. It facilitates easy importing of SQL and allows you to take data from multiple platforms and formats. You can search for almost any type of dataset that you may require on google, and python helps you create these kinds of datasets. Hadoop platform Despite not being an absolute requirement, many firms prefer having data scientists who are knowledgeable in the Hadoop platform. Along with that, Pig and hive are two other factors that can be a strong factor for acceptance. Cloud tools like amazon S3 are also something that may be required of one to be familiar with. Some surveys have rated Apache Hadoop as the second most required skill as a data scientist. It can often happen as a data scientist that the volume of data that you may be using exceeds the capacity of your system which may require you to pass on the data to different servers. This is a situation where Hadoop may be used in. Hadoop helps you to pass this data on to multiple points on the system. Hadoop can also be used in order to filter, explore, summarize and sample data. Unstructured data As a data scientist, working with unstructured data can become a norm. The content that doesn’t go into database tables and is undefined, is called as unstructured data. These include blog posts, videos, social media posts, audio, etc. This kind of data is hard to sort as they are not streamlined.
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