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Machine Learning with Support Vector Machines

I’ve been using 365 Data Science for a while now, and it’s genuinely helped me grow in so many areas. The platform is really well-designed—everything from learning and practicing to exams and reviewing material feels smooth and intuitive. One thing I truly appreciate is how talented, knowledgeable, and supportive the instructors are. Whenever I had a question, they responded quickly and were always thoughtful and helpful in their answers. I’ve been able to apply what I’ve learned in my day-to-day work—across engineering, management, and financial analysis. It’s not just theory—it’s practical, and it’s made a real difference in how I work.

I completed all three Data Career Tracks and the Investment Analyst Track on 365 Data Science to build a career where data meets finance. The structured learning, well-designed courses, and hands-on practice gave me the confidence to make that pivot—and it paid off. For nearly three years, I’ve applied the skills I gained to solve business problems and support data-driven decisions in the finance industry. 365 played a big role in turning that vision into reality.

365 Data Science was my first step into data science. Their courses in Tableau, Power BI, and Excel gave me confidence, but it was the quality of projects and mentorship that made the biggest difference. Every lesson added perspective, and I became more confident in coding and problem-solving. The platform’s structure made it perfect for beginners. Today, I apply what I learned every day as an ML engineer—thanks to 365’s meaningful, real-world content.