Join us for an insightful webinar, "Introduction to Python for Data Science," where we delve into the fundamental role of Python in data science and analytics. Discover the power of Python as a versatile and efficient programming language that has become the cornerstone of the data science landscape. Through real-world examples and demonstrations, we will showcase how Python is intricately woven into various stages of data analysis, from data cleaning and exploration to modeling and visualization. Don't miss this opportunity to embark on your journey into the dynamic world of Python-powered data science!
Agenda for the session
- Overview of Python and the role of its extensive set of libraries
- Overview of Pandas and Seaborn
- UT Austin's Data Science & Business Analytics Program
- Live Q&A
About Speakers
Amish Suchak
Data Science Team Lead, XSOLIS
Amish Suchak is a Data Science Team Lead at XSOLIS in Tennessee, US. A post-graduate from the University of Florida, he has been in the industry for over six years. His experience spans various data science and electrical engineering companies. Apart from this, he also worked as a machine learning engineer in a healthcare company, where he created software and programmed networks for the analysis of pain classification of patients.
Post-Graduate Program in Data Science & Business Analytics
Data science and business analytics are among the most popular emerging domains and sought-after career options. According to a report by LinkedIn, Data Science dominates its emerging job ranking with a whopping 37% hiring growth over the past three years.
Worldwide, industries are adapting to data science at an unprecedented rate, with 56% of business leaders using data science in some capacity in 2022. (Statista.com)
The Post Graduate Program in Data Science and Business Analytics by the McCombs School of Business at the University of Texas at Austin prepares you for a high-growth career in these domains.
This 6-month program is a comprehensive deep-dive into the world of data science, starting with the basics of data management and Python, followed by advanced classification, regression, and clustering techniques. Working under the guidance of industry experts and the leading faculty from the McCombs School of Business, you will gain hands-on experience with the most relevant business problems in the industry today.
