UpGrad Data Career Roadshow – Your Path to the Next 2 Million Jobs

Automation & AI: These buzzwords have taken the Indian IT sector by storm. Even beyond IT, harnessing the power of data is the underlying motto for the entire digital revolution. Data Science, Machine Learning, and Big Data are the next frontiers, which are expected to generate more than 2 million jobs in 2018 alone.
Harvard Business Review boldly declared Data Science to be the ‘sexiest job of the 21st century’.
Keeping this prophecy in mind, UpGrad in collaboration with BITS Pilani and IIIT-Bangalore is bringing together the best of industry and academia in 20+ events. You can now understand and plan your transition into the next 100,000+ jobs in the fields of Machine Learning, Data Science and Big Data at the Data Career Roadshow – panning 5 cities and live through Jan 6th to Feb 18th.

As part of this roadshow, we will be conducting several back-to-back events that focus on different aspects of analytics, creating interaction points across India to do our bit for a future-ready and analytical, young workforce.
The events are planned for an audience of all stages, in terms of experience:
10 workshops: The offline workshops be spread across 6 cities – Delhi, Bengaluru, Hyderabad, Chennai, Mumbai, and Pune. So, if you are in any of these cities, we are looking forward to interacting with you!
5 webinars: These online webinars online will be conducted by industry experts and aimed at stressing the need of upskilling in this age of job layoffs and automation; providing a way for aspirants to interact with industry practitioners, experts, and leaders. This will help them to finally get the questions plaguing them about their careers, answered.
4 fireside chats: The Fireside chats will focus on the ways to upskill and the skills needed to transition from IT to Data – careers emerging and popular over the next 5 years in Data & Analytics with Karthikeyan Shankaran (Director at LatentView Analysis) and Shankar Radhakrishnan (Director – Big Data Engineering at Impetus).
Also get the chance to have a fireside chat with experts from UpGrad: Rohit Sharma, Mayank Kumar and Phalgun Kompalli who will have 1 on 1 chats with you to give you the right guidance and inputs for your career growth.
2 panel discussions: Through these events, we want to educate people on the various roles available in Data Science, Machine Learning, and Big Data, and the skills or type of talent the industry is seeking. Panels will answer questions like:

  • What skills are companies looking at in each of these roles?
  • What is the hiring process/what are hiring managers looking for?

1 career tour: Get detailed insights from renowned faculties on the skills you can acquire by enrolling in UpGrad’s Data Programs. Speakers will also address the way to transition from Software/IT fields to the Data sector and conclude with 1-1 career counselling conducted by our Chief Admission Counsellors.
What’s the Difference between Data Science, Machine Learning and Big Data?

“Analytics is a huge opportunity for India, from a wealth and jobs creation standpoint and we need to be prepared to capture this potential. In this pursuit, we are delighted to announce this roadshow and the UpGrad IIIT-B PG Diploma program to help professionals build successful analytics careers.”

– Prof. S. Sadagopan Director, IIIT-Bangalore
We have curated special events across 5 cities that will help you understand all aspects of careers in the Data field. Right from Industry applications in various fields, to the transition process, skills demanded by the industry, to real-time insights from the best in the field. Come, participate and enter the gateway to the next 2 million jobs in Data!
Click here to participate in India’s Biggest Summit for Data aspirants and tap into the opportunity of being among the next 100000 data professionals.

What is Big Data and where can it be applied?

Big data is a set of technologies for storing, analysing, and managing massive volumes of data, as well as a macro-tool for spotting patterns in the chaos of this information explosion to construct intelligent solutions.

In today’s world Big Data is applicable in almost all the fields such as Retail, Healthcare, Education, Ecommerce, Media and Entertainment, Finance, Telecom, Travel Industry, Automobile, Agriculture, Environmental protection, etc.

Is Data Science a promising career?

Yes, data science is a great career with a lot of room for growth in the future. Demand is great, salaries are competitive, and benefits are plentiful, which is why LinkedIn has named Data Scientist ‘the most promising career.’

Data science positions are among the most in-demand and fastest-growing in the technology industry. Data Scientist positions have grown by 650 percent since 2012, and this trend shows no signs of slowing down. Data Scientist salaries have risen in tandem with demand; data scientists can expect to earn six figures on average. Demand also translates into the opportunity to move from city to city, and even worldwide, much more readily.

Are Data Science and Machine Learning related terms?

Machine learning and data science are popular buzzwords these days. These two names are frequently used interchangeably, however they are not synonymous. Although machine learning is included in data science, it is a broad field with many diverse technologies.

Data science is an interdisciplinary field that uses large volumes of data and processing capacity to generate insights. Machine learning is one of the most fascinating tools in modern data science. Machine learning allows computers to learn on their own from the vast amount of data accessible.

What are the career options for Machine Learning?

Machine Learning is a crucial topic, which is a subdiscipline of artificial intelligence, and has recently attracted a lot of interest, thanks to its technological achievements and attractive career options.

The career opportunities for Machine Learning are : Machine Learning Engineer, Data Scientist, Natural Language Processing (NPL) Scientist, Business Intelligence Developer, Human-Centered Machine Learning Designer, Software Engineer, Software Developer, Computational Linguist.

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