Join us for an insightful webinar on leveraging the power of data science to effectively retain and expand your customer base. In today's competitive landscape, businesses are constantly seeking innovative strategies to not only retain existing customers but also to foster growth. Data science emerges as a game-changer in this endeavor, offering valuable insights and predictive analytics that can drive informed decision-making and strategic actions.
Agenda for the session
- Role of Data Science in Customer Retention
- Predictive Analytics
- UT Austin's Data Science & Business Analytics Program
- Live Q&A
About Speakers
Nitin Sethi
Analytics Team Lead, Rio Tinto
Nitin Sethi is a data science and analytics professional with more than 15 years of experience in building advanced analytical models with Python and SPSS. Currently working as a Senior Advisor at Rio Tinto, Nitin has extensive experience with using analytics and data science to solve problems across various industries.
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.
