Presently, data science is one of the most highly demanded career option that many people want to pursue. It involves using various scientific methods or algorithms to extract information from different structured and unstructured data. The people who perform all these activities are called data scientist.
Why should anyone
take a data science course?
Before talking about taking up a data science course, let's consider if data science certification is worth taking as a career option or not. For me it is a very big YES. The reason is that digitization across all the domains is creating tons and loads of data, compared to these, the number of data scientist is the industry is less. This huge gap between demand and supply is creating a very large amount of jobs in the field of data science.
Importance of data
science
Over the past few years, data science has come a long way; it has become an integral part of understanding the working of many industries. Companies use data science to connect with their customers in a very personalized manner which ensures better brand power. The results and findings of data science can be applied to almost every sector like education, healthcare, travel and many more. This also provides a fair amount of flexibility to it. It is accessible to more or less all the sectors. Presently, there is a large amount of data that is available in the world and data science is used to utilize those huge amounts of data in the correct manner. In the present day, the working grounds for the data scientists have also increased, that is, they started experimenting with intelligence gathering technologies and developing algorithms and models for helping the industries to face their biggest challenges.
Parts of data
science courses
Mathematics and statistics is a must in data science course. A person should have a proper mathematical knowledge if he or she wants to pursue a career in data science. Linear algebra and vector calculus are the main domains that should be covered properly. Different concepts of calculus are needed to be brushed up. Along with mathematics, statistics is also equally important in data science course. Machine learning is also an integral part in understanding data science. Machine learning is a big part of data science projects as it is hugely used for analysis and discovery (clustering algorithms). It is also used for developing predictive models. Learning data science includes a solid knowledge about programming languages, python and R are the most popular languages used in data science learning.
Application of
data science
It is used for internet searching. There are many search engines on the internet, all of these search engines use data science to deliver the best results for the word that is searched. Data science and machine learning are also used for digital advertisements. Data science is also used for image recognition, which is useful for the social media sites like Facebook, instagram and many more. Data science algorithms are also used for speech recognition products like Siri, Crotona, Google assistant.
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Data science is the future of the world. It can help us to meet the challenges of increasing demand and provide best solutions to it. Data Science International Certification from the University of Malaysia offers best data science courses in which students can rely on.
