Getting into data analysis or data science? Then you NEED to understand data wrangling - the secret sauce that turns raw, messy data into a reliable foundation for analysis!
This video breaks down:
What data wrangling IS (and why it matters SO much!)
The 4 Key Steps of Data Wrangling: Discovery, Transformation, Validation, and Publishing
How data wrangling ensures accurate, actionable insights from your data
Don't let messy data derail your analysis! Build your data-wrangling skills and unlock the true potential of your data. Ready to level up your data skills? Check out these recommended courses for expert guidance on data wrangling techniques and tools.
course
This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash ...
4.7
(440 ratings)
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Intermediate level
Average time: 35 hour(s)
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Skills you'll build:
Theoretical Computer Science, Algorithms, Data Structures, Computer Programming, Python Programming
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