DataHour sessions are an excellent opportunity for aspiring individuals looking to launch a career in the data-tech industry, including students and freshers. Current professionals seeking to transition into the data-tech domain or data science professionals seeking to enhance their career growth and development can also benefit from these sessions. In this blog post, we will introduce you to some of the upcoming DataHour sessions, including contrastive learning for image classification, feature engineering, POS tagging, document segmentation using Layout Parser, and many more. Each session is designed to provide you with insights into various data tech topics, techniques, and methods. Attendees will learn from experts in the field, gain practical knowledge, and get to ask questions to clear their doubts.

Do you know that, for the past 5 years, 'Data Scientist' has consistently ranked among the top 3 job professions in the US market? Having Technical skills and knowledge is one of the best ways to get a hike in your career path. Keeping this in mind, many working professionals and students have started upskilling themselves. To upskill yourself, and expand your Data Tech knowledge, mark your calendars and benefit from the FREE DataHour sessions. Here, at Analytics Vidhya, we aim to build a future Data-Tech Community.

We're getting Prabakaran Chandran on board to lead an interactive DataHour session with us. He has been working with Mu Sigma, a prestigious company as a Data and Decision Scientist that specializes in problem-solving, since 2019. He is skilled in SQL, Python, R, Advanced Analytics, and Statistics. In the fields of computer vision, natural language processing, and deep learning, he worked with a team of two people to develop AI-based solutions for Fortune 500 companies. He will be explaining Causal Inference and demonstrate how it may be applied to a specific use case in Python.