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A/B Testing in Python

I wanted to move from IT support into solving business problems with data, but I needed structured learning and real-world practice. 365 Data Science gave me exactly that—an end-to-end path from Python to machine learning, with hands-on projects that built my confidence. Today, I analyze large datasets, build predictive models, and deliver data-driven insights as a Data Scientist. For IT professionals aiming to transition into data roles, 365 is a career-changing resource.

I began my self-training with 365 Data Science before joining a Data Science Fellowship, and it played a crucial role in advancing my skills as a Data Analyst. The courses are well-organized, practical, and detailed. Now, managing AI projects while analyzing data, I often return to 365 to learn new, job-relevant skills—like Power BI, Web Scraping, and Power Query. 365 has been an ongoing resource for my professional growth.

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.