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Item #:
145420247
Python Data Analytics: Comprehensive Guide of Tips and Tricks using Python Data Analytics Theories
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Item #:
145420247
AUD 47
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What Stands Out
Comprehensive Coverage
This guide offers an extensive overview of data analytics using Python, equipping readers with essential theories and practical applications to enhance their analytical skills effectively.
Practical Tips
Packed with actionable tips and tricks, the book provides real-world examples that help users apply Python data analytics techniques to solve complex data challenges efficiently.
User-friendly Approach
Designed for all skill levels, the guide fosters an accessible learning environment, making it easy for beginners to grasp Python data analytics without overwhelming technical jargon.
Product Details
| Publisher | Independently published |
| Publication date | December 18, 2019 |
| Language | English |
| Print length | 141 pages |
| ISBN-10 | 1677200952 |
| ISBN-13 | 978-1677200955 |
| Item Weight | 7.1 ounces (201.29 grams) |
| Dimensions | 6 x 0.32 x 9 inches (15.2 x 0.8 x 22.9 cm) |
| Book 2 of 3 | PYTHON DATA ANALYTICS |
Who Should Buy?
-
Beginners in Analytics
Ideal for users starting with data analytics who need structured guidance and actionable tips using Python.
-
Professionals Upskilling
Beneficial for data professionals seeking to enhance their Python skills and apply data analytics theories effectively.
-
Students in Data Science
Perfect for students pursuing data science courses wanting practical examples and insights to complement their studies.
-
Advanced Data Analysts
Not suitable for experts who are familiar with advanced analytics concepts and looking for in-depth technical content.
Product Description
Python Data Analytics: Comprehensive Guide of Tips and Tricks using Python Data Analytics Theories
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Pros
- In-depth coverage of analytics
- User-friendly explanations
- Practical tips and tricks
- Great for beginners and experts
- Engaging examples and exercises
Cons
- Some advanced topics may lack detail.
Product Price History
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AUD 47
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Features & Benefits
- Comprehensive guide on Python data analytics.
- Learn essential data science concepts and applications.
- Understand distinctions between big data, data science, and data analytics.
- Introduction to Python programming tailored for data analysis.
- Gain insights into predictive analytics and data mining techniques.
- Step-by-step guidance on developing regression and classification algorithms.
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