Step-By-Step Path To The Career In Data Science

A Step-By-Step Path To The Career In Data Science

About this workshop

Data science is gaining a lot of momentum. Machine learning and artificial intelligence are already having great impact on how we live and work. This webinar will give you information about how to prepare for leadership positions in a variety of sectors seeking individuals with robust data analysis skills. How to immerse yourself in the fast-paced world of digital innovation with certain Data Science guidelines. Also, you will be able to learn how to successfully transition your career into Data Science with a few do’s and don’ts that you have to take care before your job interview.

Takeaways

● Pre-requisites needed to start your Data Science journey.
● An understanding of essential skills needed to become a data science professional.
● How to gain real time work experience or real-world business problems solving
    experience?
● How to demonstrate the capabilities to the potential employers?
● What is the importance of a trainer in the career transition into Data Science?

Preparation

● This webinar will be completely online on zoom. Please make sure to download the
   zoom application on your laptop or mobile / Tablet.
● We will provide the zoom link before the webinar.
● Online webinar needs good internet connection

About the instructor

Bhagwat Chate
Bhagwat Chate

Bhagwat is a Machine Learning and Data Science professional with the advance skillsets in
Data Analytics like Python, Power BI, Databases, etc. He has 6+ years of experience in
developing solutions in Business Analytics. He has a master's degree in Computer Science
from Savitribai Phule Pune University. Currently working with Automaton AI Infosystem as
a Data Scientist to develop Machine learning based business analytics tools. His area of
expertise lies in:
• Advance Data Analytics
• Business Analytics
• Data Science & Machine Learning

In collaboration with Automaton AI Infosystem Pvt. Ltd. (www.automatonai.com)

Webinar Expired

Time - 11:00 am IST