Overcoming Roadblocks in Data Science || EP 2 || SETU School

In this insightful video, we delve into the journey of a seasoned data scientist who started in the nascent days of the field, transitioning from Excel to R and beyond. Discover the key challenges faced, from bridging the skill gap and learning programming languages like R and SQL, to developing business acumen—a crucial yet often overlooked aspect for impactful data science. We also discuss the pervasive issue of poor-quality data and strategies to think creatively and out-of-the-box to overcome it.

Gain actionable insights into how proactive learning, asking for help, and balancing technical expertise with business understanding can shape a successful career in data science. Whether you're a budding data scientist or an industry enthusiast, this video sheds light on the multifaceted nature of the field and the mindset needed to excel.

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This episode is part of the SETU PRAJÑAN SERIES, where we bring you in-depth discussions with industry thought leaders.

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