I’ve always been fascinated by data and its potential impact on shaping decisions and innovations. As someone coming from a non-technical background, I’m eager to explore how to transition into a career as a data scientist. Could someone who’s successfully navigated this path share their personal journey? What were the key skills and resources they found indispensable along the way? Any advice on effectively building a portfolio or gaining practical experience to stand out in the competitive field of data science?
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I pursued a second master’s degree in Information Management with a focus on data science, studying subjects such as Machine Learning and Data Mining. During this time, I also created tutorials to help others break into the field. After starting at Deloitte, I later returned to DataCamp as a data science journalist, where I could blend my passions for writing and data science.
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Data Science as a field is currently saturated. Don’t do it unless you want to study it overseas and stay there after graduation.
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Yes, that is true. I’m confused, though, because of what people have said. If I want to be a data scientist, I’m not sure if I should specialize in computer science or data science for my undergrad. Is it truly so difficult to obtain an entry-level position with merely a bachelor’s degree in data science? By the way, I’m Junior.
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You need to build your technical skills in data visualization. Learn to use tools like Matplotlib, Seaborn, and Tableau to create meaningful data visualizations.
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I recommend gaining practical experience. Start with small projects, such as analyzing publicly available datasets on Kaggle. Create a project that interests you, such as predicting house prices or analyzing social media trends.
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I advice you to first understand the basics. Learning Python is crucial due to its extensive use in data science. Start with basic programming concepts and gradually move to data-specific libraries like Pandas, NumPy, and Matplotlib.
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Ok, becoming a data scientist typically involves a combination of education, skills development, and practical experience.
Almost all data science jobs, according to job boards like Indeed, Glassdoor, and others, demand a Master’s or Ph.D. in computer science, statistics, or data science. Naturally, things will change if you receive a bachelor’s degree from a university like Stanford or MIT.