Kartik P. asked a question to Rita L.
Hi Kartik,
To become a data scientist while pursuing a master's degree, focus on building a strong foundation in mathematics and statistics, as these are critical for understanding algorithms and data analysis. Learn programming languages like Python and R, along with SQL for database management. Gain proficiency in data manipulation and visualization tools such as Pandas, NumPy, and Tableau. Dive into machine learning and AI by exploring libraries and work on real-world projects to build a portfolio showcasing your skills. Additionally, develop business acumen to effectively communicate insights, explore big data tools like Hadoop, and stay updated through networking and certifications. Practical experience, continuous learning, and a solid technical foundation are key to success in this field.
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