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Statistics with Python. 100 solved exercises for Data Analysis (Your Data Teacher Books)
Statistics with Python. 100 solved exercises for Data Analysis (Your Data Teacher Books)
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Statistics with Python. 100 solved exercises for Data Analysis (Your Data Teacher Books)
Statistics with Python. 100 solved exercises for Data Analysis (Your Data Teacher Books)
If you want to develop a solid grasp of statistics and apply it practically with Python, this book will help you reach your goal.
Statistics with Python. 100 solved exercises for Data Analysis (Your Data Teacher Books)
vare #: 136943149

Statistics with Python. 100 solved exercises for Data Analysis (Your Data Teacher Books)

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vare #: 136943149

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Det som utmerker seg

Practical Exercises
Offers 100 real-world problems to solve, enhancing hands-on learning in data analysis. This approach reinforces theoretical concepts through practical application, ideal for aspiring data analysts.
Python Focused
Utilizes Python for data analysis, catering to modern data science requirements. This targeted approach equips learners with relevant skills, making them more competitive in the job market.
Comprehensive Solutions
Provides detailed solutions and explanations for each exercise, ensuring clarity and understanding. This resource acts as an essential study aid, making it easier for users to grasp complex topics.

Produkt detaljer

Shop Statistics with Python. 100 solved exercises for Data Analysis (Your Data Teacher Books) online at a best price in NORGE. B0F61SM59S
  • Are you already familiar with Python and looking to apply it to statistics to become a data analyst or data scientist? This book is the hands-on resource you need.This manual is designed for those who want to strengthen their skills in applied statistics with Python. The book is entirely made up of solved exercises, with detailed solutions and step-by-step explanations. The approach is practical and focused on business use cases, helping you understand how to apply theoretical concepts to real-world problems.What you’ll find inside:Descriptive statistics: measures of central tendency, dispersion, and frequency distributions.Hypothesis testing: testing statistical hypotheses with Python, p-values, and significance levels.Probability and random variables: probability calculations and the most commonly used distributions.Regression and correlation: linear regression models and analysis of variable dependence.Probability distributions: practical use of distributions such as Normal, Binomial, and Poisson.Who this book is for:Aspiring data analysts and data scientists who want to apply statistics using Python.Students and professionals looking to solidify their skills through practical exercises.Anyone seeking a concrete and hands-on guide, with minimal theory, to tackle real problems.If you want to develop a solid grasp of statistics and apply it practically with Python, this book will help you reach your goal.The AuthorGianluca Malato was born in 1986 and is an Italian data scientist, lecturer, entrepreneur, and author. In 2010, he earned a Master’s Degree with honors in Theoretical Physics of Disordered Systems from the University of Rome “La Sapienza” (thesis advisors: Giorgio Parisi and Tommaso Rizzo). He has worked for years as a data architect, project manager, data analyst, and data scientist for a major Italian company.He has published several books and articles on Data Science on his blog yourdatateacher.com and on the online publication Towards Data Science (towardsdatascience.com). He received the “Top Writer” mention on Medium.com in the “Artificial Intelligence” category for his articles.He has also written several fiction books in Italian, focusing on the horror, thriller, and fantasy genres.
Publisher Independently published
Publication date 22 April 2025
Language English
Print length 359 pages
ISBN-13 979-8280967632
Item weight 780 g
Dimensions 17.78 x 2.06 x 25.4 cm
Book 2 of 3 Your Data Teacher Books

Hvem passer produktet for?

Suitable For
  • Data Science Students

    Ideal for students learning data analysis who need practical exercises to enhance their understanding of statistics.

  • Self-learners in Python

    Perfect for individuals self-learning Python who want to apply their skills in real-world data analysis scenarios.

  • Beginner Analysts

    Useful for beginner analysts looking to solidify their statistical knowledge through 100 practical, solved exercises.

Not Suitable For
  • Advanced Statisticians

    Not suitable for advanced statisticians who seek complex theories and advanced statistical methods beyond basic exercises.

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Languages Editorial Review

Statistics With Python offers a comprehensive collection of 100 solved exercises that delve into data analysis, making it an indispensable resource for learners. This engaging book, published independently on April 22, 2025, spans 359 pages and is formatted in English, ensuring accessibility to a wide audience. Readers appreciate the clear language and structured approach that aids in understanding complex statistical concepts, enhancing their analytical skills effectively. With suitable dimensions of 17.78 x 2.06 x 25.4 cm, it is easily portable, making it ideal for studies on the go. Overall, it serves as an excellent tool for anyone looking to sharpen their data analysis capabilities.

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  • 4 stjerne
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Fordeler

  • Contains 100 practical exercises for practice
  • Well-structured content for easy understanding
  • Portable size suitable for study anywhere
  • Clear and engaging writing style
  • Independently published for unique insights

Ulemper

  • Some readers may desire more advanced topics covered

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Funksjoner og fordeler

  • Comprehensive resource with 100 solved exercises for practical learning.
  • Designed for aspiring data analysts and data scientists familiar with Python.
  • Focuses on applied statistics with step-by-step explanations.
  • Covers key topics like descriptive statistics, hypothesis testing, and regression.
  • Minimal theory, emphasizing real-world applications and business use cases.
  • Written by a seasoned data scientist with extensive practical experience.

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