Data Wrangling Handbook 2023: Concepts, Tools & Real-World Case Studies for Modern Analysts Case Studies
Unlock the full potential of your data with the 2023 edition of Data Wrangling: Concepts, Applications and Tools . This 280-page expert guide distills proven workflows, tool comparisons, and industry case studies covering Python, SQL, Tableau, Power BI and more to transform raw, messy datasets into production-ready assets. Ideal for analysts, data engineers and students, it delivers granular tact...
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Unlock the full potential of your data with the 2023 edition of Data Wrangling: Concepts, Applications and Tools .
This 280-page expert guide distills proven workflows, tool comparisons, and industry case studies covering Python, SQL, Tableau, Power BI and more to transform raw, messy datasets into production-ready assets.
Ideal for analysts, data engineers and students, it delivers granular tactics for cleaning, structuring, enriching and validating data while addressing security, governance and future trends.
Boost productivity, ace certification prep and accelerate insight generation with ready-to-use code snippets, checklists and end-to-end case studies from Uber and PepsiCo.
This 280-page expert guide distills proven workflows, tool comparisons, and industry case studies covering Python, SQL, Tableau, Power BI and more to transform raw, messy datasets into production-ready assets.
Ideal for analysts, data engineers and students, it delivers granular tactics for cleaning, structuring, enriching and validating data while addressing security, governance and future trends.
Boost productivity, ace certification prep and accelerate insight generation with ready-to-use code snippets, checklists and end-to-end case studies from Uber and PepsiCo.
Latest reviews
Learn2Code
20:48 | 2025-07-20
It's okay. Some parts are really helpful and explained well, but then others are a bit too theoretical for me, or assume a bit too much prior knowledge. It's a decent starting point but I had to supplement with other materials.
3.0
LostInData
16:52 | 2025-07-14
Not helpful at all. I found it very confusing and poorly organized. It jumped between ideas without clear transitions, making it impossible to learn from. Ended up just looking for other resources online.
1.0
FrustratedLearner
20:59 | 2025-07-11
Honestly, I was expecting more. Some of the content felt pretty superficial, and I struggled to follow along in certain areas. It didn't provide the depth I needed for my advanced class. A bit of a letdown.
2.0
DataAceStudent
02:02 | 2025-07-09
Absolutely brilliant! This resource really connected the dots for me, especially with the practical applications. I feel so much more confident tackling real datasets now. Definitely a must-have for anyone serious about the subject.
5.0
AnalyticsEnthusiast
01:11 | 2025-07-04
Pretty comprehensive and well-structured. It's a fantastic reference, and I found most of the explanations very clear. A few minor sections felt a little rushed, but overall, it's a solid tool for learning and revision.
4.0
InsightSeeker
00:04 | 2025-06-22
This was a lifesaver for my project work! The examples are incredibly relevant and helped me troubleshoot a lot of issues I was facing. It’s written in a way that makes complex concepts easy to grasp. Highly recommend it!
5.0
QueryMaster
16:19 | 2025-06-09
Very useful for quick lookups and refreshing concepts. It covers a wide range of topics, and the structure makes it easy to navigate. It's a great complement to my course lectures, though not always the first resource I'd grab for deep dives.
4.0
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