How to learn Data Science?

How to learn Data Science?

Posted in : Big Data Posted on : May 10, 2016 at 8:58 PM Comments : [ 0 ]

Data Science is a field of study that deals with processes and systems required to extract knowledge or insights out of data. The courses teach you to do just that and help you advance in your career. They usually require basic knowledge of mathematics and computing.

Data Science is an interdisciplinary field of study that deals with processes and systems to glean knowledge or insights out of data that exists in different forms. These forms we are speaking about may be either structured or unstructured. There are fields like data mining, statistics and predictive analytics in data analytics. Data analysis deals with all these forms of knowledge.

Data Science draws from many broad areas of study like statistics, mathematics, information science and computer science which may deal with signal processing, probability models, machine and statistical learning, data mining, database, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression, computer programming, artificial intelligence and high-performance computing.

There are certified Data Science Training courses were you can learn all about Data Science. Some training courses conduct the training using R, SAS and Excel, some others using these languages separately. These courses usually start from scratch and are very insightful and enjoyable. You need to have just a rudimentary idea of statistical reasoning. You need to be passionate about learning the subject, too. You need to have a good knowledge of mathematics and such learners can perform very well in this course. And, needless to say, you need to have a computer with an internet connection. People from the Analytics domain do well in these courses. Some courses are meant for Certified Analyst Professionals. The courses help you understand all the important concepts and topics of Certified Data Science using the different languages mentioned above.

The course that we mentioned first consists of 178 lectures and runs for 33 hours. The second one provides 133 lectures and runs for 24 hours. The third covers 18 hours and provides 94 lectures. The fourth one runs for 8 hours and comprises 45 lectures. And, last but not the least, the one that is meant for the Certified Analyst professional runs for 3 hours and consists of 14 lectures. Apart from the last course all the others cover all the levels. The last one covers only the intermediate level. Many well-known institutes conduct these courses and studying in these courses is worth it.

You learn about R programming, SAS and Excel in the course. You learn important concepts like regression, distribution, etc. using the R software. You also learn Advanced Excel concepts. These courses not only kick-start your career in the right direction but also help you go in the right direction to augment your income. You learn to analyse data to improve your knowledge base, build up new strategies and prepare business intelligence that you can work on whole-heartedly.  When you come to the end of the course you can assess the stages of the analytics life cycle, utilize a plethora of tools and techniques to analyse data, investigate data, design, manage and model databases and deliver intelligence with a competitive edge and perform such other tasks with ease.

The course using R language training takes you into the living room of Data Science training. Just like the previously mentioned courses, this course enhances your skill levels in Data Science only from a different perspective. The skill enhancement is good, the dissimilarity only being that the perspective is different.
All the online and other courses provide you with verifiable certificate of completion and lifetime access. So, delve into and swim around in the sea of data, learning all about the eddies and currents and the waves and the tides. These courses will take you places. Just keep yourself all ready to explore the land of Data Science. Become a Data Scientist!

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