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NASSCOM invites applications to its Free Big Data Course with dual certificates on Digital e-Vidhya Platform

NASSCOM and Future skills' self-paced Big Data course is a certified analytics course that provides the students with dual certificates upon completion.

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Today, we are talking about a self-paced Big Data course via NASSCOM and Future skills. This is a certified analytics course that provides the students with dual certificates upon completion.

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Machine learning, big data, and data science skills are the most challenging to recruit for. Thus, this can potentially create the greatest resource to find jobs in product development and go-to-market strategies. According to Forbes, Big Data is also one of the highest-paying jobs in the US. The median advertised salary for professionals with big data expertise is $124,000 a year for the US market.

Thus, the NASSCOM provided Big Data course is aimed at upskilling those who have a basic understanding of programming and data sequences. It will further help them to expand their knowledge and learn the fundamentals of Big Data Analytics technologies at a beginner level.

Enrol in the course here.

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Who can enrol in the course?

Students who are enrolled in streams such as Engineering, Computer Science, Statistics, Sciences or Mathematics can take the course. If you are an employed professional who wishes to explore his/her career options and interests with regards to Big Data Analytics, this course is the best. Even if you are just curious about understanding the hype behind Big Data Analytics, you can take this course.

This course intends to make students explore the fundamentals of Big Data Analytics. It also helps to provide them with a base. From this base, students can upskill themselves for specific Big Data Analytics job roles.

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Before the course begins, you need to know the fundamentals of programming. These include data sequences such as stacks, queues, strings, arrays, linked lists, trees, maps and the concepts of Object-Oriented Programming.

Timeline of the course

The course is self-paced. There is no specific deadline on completion of the course. But it will take around 55-60 hours to complete. Further, there will be assignments and that will take up to 32 Hrs. You will have to complete 3 Projects with the help of 9 Tools.

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Who will teach the course?

Although the course is self-paced, the course advisors are:

1. Manas Garg, Director of Engineering PayPal.

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2. Vishal Mishra, CEO and Co-founder, Right Relevance.

3. Shweta Gupta, India, VP, Data Science.

What will the course teach?

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This is a beginner's level course via NASSCOM. So, the basic things that you will learn are:

- Algorithm Design using Mapreduce

- Features of Popular Big Data Systems & Platforms

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- Relational & Semi-Structured Data Models, Data Formats & Data Streams

- Fundamentals of Big Data Processing Systems, Analytics & Visualizations

- Big Data System, Database & Programming along with Industry use-case

- Introduction to key tools in the Spark toolkit including Spark MLlib & GraphX

How will the course help you?

At the end of this course, you will be able to evaluate trends in Big Data and discuss how Big Data is transforming businesses. Further, it will help you to evaluate the different platforms used for processing Big Data and the features of Databases. You will be able to write Map and Reduce codes for distributed Processing of Data.

You will also understand the key concepts behind Big Data Modelling and Management. This course will also help you gain the practical skills needed for modelling Big Data Projects and select appropriate data models that suit the requirements of data. After this course, you will be able to differentiate between a traditional Database Management System and a Big Data Management System.

How to obtain a certificate?

You will get the two certificates; one from NASSCOM backed Future Skills and second from Digital e-Vidhya. These will add to your skills and resume!

Read More: AIHS invites applicants to join a free certificate course on Cybersecurity through SWAYAM Portal

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