2018-02-10

With the evolution of IT systems, many new technologies and concepts have become a norm. Some of them include cloud, analytics, big data, apps, Hadoop and many more! In the early 2000s, the Information Technology driven companies started realizing that this heap of data that they have generated and saved over time must have some potential in terms of insight. And that was the trigger for making this big data work using data science tools and techniques.



One of the common data science use case is that organizations today understand what is big data and Hadoop and are investing heavily in gaining competitive advantage. By using their customer data base, they set up teams of data scientists who give them patterns in customer concerns. This help forms to ideate and create better products/services for their customers.

So, what is Data Science?

Data Science is the science of organising data in a way that it helps organisations draw patterns from it and extract useful information. Now one may wonder, how does an organisation go about doing this complex activity? Well the answer lies in tools and techniques that help cleaning and preparing data in way that patterns emerge.

With data science organisations attempt to uncover information that lies hidden in their data bases as structured or unstructured data and even semi-structured data. One may wonder how do these organizations end up collecting so much data, well a simple example would be Facebook. Remember all likes you gave to some Facebook pages? Now imagine this sea of likes being given every day to respective pages. Finally, the likes are saved in some location on the servers and these tables are getting refreshed within minutes/seconds. This data is not only huge in volume but is increasing in its production with time and there doesn’t seem to be any stopping at that.

And what is data analytics then?

Data Analytics involves programming that can help create reports and analytics to help organisations with decision making. It is a tool for making factual decisions supported by the data that the organisation has collected.

So, is there any course where one can learn data science skills?

Acadgild offers certification and courses to learn data science online. You can learn more about data analytics courses online and data science specialization on the website. Big data courses online with Acadgild can prepare you with the skills and knowledge to get the best roles in the industry in data science teams.

Whether you are a seasoned professional, fresher or someone seeking to skill themselves in new technologies, this google android course should help you gain insight into the real world use cases of data analytics. Additionally, with big data knowledge you can try a new career and transition into a more challenging role and who knows even more interesting roles and use cases.

What’s more exciting is that all industries are already showing interest in data science, so the potential is huge. Organizations are eager to learn from their data and prepare solutions that will help them gain competitive edge in their industry. And you could be their next big idea with the knowledge of big data and android apps.

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