Building a Career in Data Science & Data Analytics
Join DataSpace Academy for this career-building workshop
Speaker: Avijit Pyne
Building a Career in Data Science & Data Analytics
Did you know that “Data Scientist” has been crowned as the “Sexiest Job of the 21st Century”? (Source: Harvard Business Review)
One of the major reasons behind the staggering rise in demand for data scientists and data analysts in the 21st Century is the growing focus on a “data-driven” approach for decision-making. There is a mammoth pool of data around- but unfortunately, a large share of this data is disorganized. Thus, organizations and businesses are proactively looking for data scientists and data analysts to help them sort the mass of data and reach smarter data-driven decisions faster.
The field of data science is constantly proliferating, so much so that the data science job market is predicted to shoot up by 36% from 2021-2031 (Source: Bureau of Labor Statistics). In regard to India, the Data Analytics market in India is poised to touch a whopping volume of $118.7 billion by 2026. Almost all the major industries are looking for data scientists and data analysts, ranging from E-commerce to Healthcare to Online Gaming to Sports to Finance, and more.
This workshop aims to share industry insights into building a shining career in the contemporary and future data science and data analytics scene.
Takeaways:
- Participation certificate
- Goodies bag
- Refreshments
Keynote Speaker:
Avijit Pyne
Senior Data Scientist & A.I. Expert,
Senior Data Science & Analytics Trainer (DataSpace Academy)
IT expert Avijit Pyne has more than 3.5 years of experience in the field of data science and analytics. His main research interests are in natural language processing, deep learning, and traditional machine learning. He has worked as a data science consultant for both start-ups and private MNCs. Through different articles and code snippets, he contributes to the open-source community
Grab your seats now!
Topics Covered
- Overview of Data Science
- Overview of Data Analytics
- Difference between Data Science and Data Analytics
- Huge prospects offered by the Data Science & Data Analytics job market
- Tools used in Data Science and Data Analytics domain
- Types of job roles in the Data Science & Data Analytics market
- Generous salary and pay package
- Industries hiring Data Scientists & Data Analysts
- How to build a successful career in Data Science and Data Analytics?
- Live projects on both Data Science and Data Analytics