Now in print! Real world data analysis is messy. Success requires tackling challenges like unreliable data sources, ambiguous requests, and incompatible formats—often with limited guidance. This book goes beyond the clean, structured examples you see in classrooms and bootcamps, offering a step-by-step framework you can use to confidently solve any data analysis problem like a pro.
Plus, the same offer also applies to Think Like a Data Scientist, The Well-Grounded Python Developer, Data Science Bookcamp, and Effective Data Analysis.
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