Looking to break into data science but unsure how to make the leap? Join us for a practical webinar, "Transitioning into a Data Science Career from Any Industry," where we’ll explore how professionals from diverse fields can successfully pivot into data science. Learn about the key skills, tools, and strategies needed to make this transition, even without a technical background. Our expert speaker will share insights on how to leverage your existing experience, the best learning paths, and real-world examples of successful career transitions. Make the most of this opportunity!
Agenda for the session
- Key Skills for Transition
- Leveraging Existing Experience
- MIT IDSS' Data Science and Machine Learning Program
- Live Q&A
About Speakers
Evans Otalor
Chief Data Officer & Founder, Bahcode
Evans Otalor is a data leader with a proven track record in building and transforming data functions to deliver AI-driven insights and process optimization. With extensive experience deploying machine learning algorithms for business value, he has led data functions at Bahcode, Max, Sterling Bank, and IHS Towers, driving process automation and strategic decision-making. His expertise spans AI solutions, BI tools, and cloud platforms for scalable implementations.
Data Science and Machine Learning: Making Data-Driven Decisions Program
The Data Science and Machine Learning: Making Data-Driven Decisions Program has a curriculum carefully crafted by MIT faculty to provide you with the skills & knowledge to apply data science techniques to help you make data-driven decisions.
This data science program has been designed for the needs of data professionals looking to grow their careers and enhance their data science skills to solve complex business problems. In a relatively short period of time, the program aims to build your understanding of most industry-relevant technologies today such as machine learning, deep learning, network analytics, recommendation systems, graph neural networks, and time series.
