Analytics India Magazine is organising the largest and first of its kind Data Science & AI education fair in India, SkillUp 2021. The two-day virtual fair is scheduled to be held on 22 & 23 April 2021. SkillUp 2021 will give an opportunity for students across India to connect with top-tier universities offering courses in data analytics & machine learning.
The next-gen conference is expected to host 4,000 aspirants and professionals prospecting for the right courses; representatives from top universities; and over 25 experts from the industry.
Here, we have put together the top 10 talks you can attend at SkillUp 2021.
1| Surviving to thriving: Skills for the future
When: 22 April, 09:15 — 10:00
By: Harish Subramanian, Vice President at Great Learning
About: The terms “remote,” “distributed,” “digital,” and “automation” have all been used to describe the future of work. This talk is a crystal ball to divine the trends driving industries, major techtonic shifts and the skills you need to be future-ready.
2| Role of statistics in the era of big data
When: 22 April, 10:00 — 10:40
By: Rajeeva Karandikar, Director, Chennai Mathematical Institute
About: Statistics as a science shaped up much before Big Data came into the picture. In this talk, at SkillUp 2021, Rajeeva Karandikar will explain — with examples — how some statistical techniques have become outdated, though the concepts still hold water. He’d elaborate on how enormous computing power could be combined with statistical ideas and modern AI/ML tools to get the best results.
3| Data science executive education for working professionals
When: 22 April, 12:15 — 12:55
By: Anuradha Sharma, Dean – Delivery and Quality & Professor, INSOFE
About: In today’s global economy, data science skills improve the chances of employability by leaps and bounds. INSOFE’s executive programmes, developed and designed in partnership with Case Western Reserve University and the Rennes School of Business, make data science expertise available to working professionals with no time to attend full-time courses. This talk, at SkillUp 2021, will also cover career paths for engineers and managers with 4 to 9 years of experience, as well as educational opportunities for senior leaders.
4| How to make a career in data science
When: 22 April, 14:00 — 14:40
By: Ana Simion, Chief Data Officer, Sophis Inc
About: Data is an integral part of the modern era, especially in the post-pandemic world. There has never been a better time to pursue a career in data science. The interaction will offer insights into how one can enter this exciting field. The talk will also cover: Getting started with Data Science, building knowledge & best ways to learn, recommended tools and learning resources, where Data Science can take you, etc.
5| Getting ready for a career in analytics and data science
When: 22 April, 15:30 — 16:10
By: Arnab K. Laha, Associate Professor, IIM Ahmedabad
About: Analytics and Data Science jobs are one of the most attractive career opportunities available. The profession has the potential to make the world a better place, in addition to decent pay packages. However, landing a data science and analytics career calls for a lot of hard work and preparation. The candidate should have a strong command in techniques and domain knowledge. Due to the rapid pace of progress in this area, the only viable model for long-term career success is learn-unlearn-relearn. This talk, at SkillUp 2021, will guide on how to get ready for a career in data science and analytics.
6| Data engineering- the fastest growing tech job
When: 22 April, 17:00 — 17:40
By: Prasad Srinivasa, Assistant VP, Genpact & Sourav Saha, Dean Academics, Praxis Business School
About: Data engineers oversee all data-related processes from the scratch, including where the data comes from, how it should be processed, how it can be made available at the right time and in the right format, and how it should be secured. Data engineering requires knowledge of a number of tools and techniques, including cloud and Big Data systems. This talk will take you through the nuts and bolts of data engineering and how organisations are using data engineers to deliver value.
7| How to be successful in our new AI/ML era
When: 22 April, 19:15 — 19:55
By: Giorgio Suighi, VP, Analytics, Esri
About: The session will focus on the most important skills to have and/or develop to succeed in the AI/ML field. This talk, at SkillUp 2021, will give pointers on how AI/ML impacts businesses in real, rather than trafficking in seasonal “buzzwords”.
8| Data Science 2.0: From outputs to outcomes
When: 22 April, 20:00 — 20:40
By: Bill Schmarzo, Author, Professor, Innovator and Consultant – Data Science and Data Monetisation
About: Data is the catalyst for economic growth in the 21st century. It is the responsibility of the data scientist to take on the initiative to help organisations extract and monetise the customer, product and operational insights buried in the data. The aim of the Data Science 2.0 challenge is to champion a methodology for leveraging the economic value of data and analytics.
9| Global data science masters and career opportunities in USA, Canada and Europe
When: 23 April, 10:00 — 10:45
By: Dakshinamurthy V Kolluru, Founder, President & Chief Mentor, INSOFE
About: There is a growing demand for domain experts with specialised data science skills. The talk will illustrate the importance of dual specialisation masters in data science. There will be discussions around INSOFE programs designed in collaboration with global universities in the US, Canada, and Europe for individuals from diverse academic disciplines. Further, the session will also touch upon the exciting career opportunities and the work visa options available to students.
10| Hands-on session on data science for beginners
When: 23 April, 12:45 — 18:40
By: Aishwarya Verma, Data Scientist, Analytics India Magazine & Krishna Rastogi, Associate Director, Association of Data Scientists
About: The talk will help beginners understand different artificial intelligence landscapes, the basics of Python programming, the importance of data analysis and visualisations. This SkillUp’s session will cover topics such as: Artificial intelligence, machine learning & deep learning, introduction to python programming, hands-on linear algebra and statistics with SciPy and Numpy, hands-on data analysis, manipulation, and visualisation with Pandas and Matpltlib.
Check out the entire schedule here.
