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Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ... (Data Analyst (Python) — Expert Micro Path)
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ... (Data Analyst (Python) — Expert Micro Path)
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ... (Data Analyst (Python) — Expert Micro Path)
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Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ... (Data Analyst (Python) — Expert Micro Path)
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ... (Data Analyst (Python) — Expert Micro Path)
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ... (Data Analyst (Python) — Expert Micro Path)
Unlock the full potential of Python for extracting insights from data using Pandas, NumPy, Matplotlib, Seaborn, and Julius AI.
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ... (Data Analyst (Python) — Expert Micro Path)
Artigo n.º: 109715143

Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ...

80% of respondents would recommend this to a friend

Artigo n.º: 109715143

CVE 5737

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O que se Destaca

Comprehensive Coverage
In-depth exploration of essential Python libraries like Pandas, NumPy, and Matplotlib for data analysis, offering readers a complete toolkit for effective data manipulation and visualization.
User-Friendly Approach
Integrates no-code tools alongside coding libraries, making data analysis accessible to all skill levels, ensuring that both beginners and experts can find value and utility in the content.
Practical Applications
Emphasizes real-world applications and examples of data visualization, providing readers with hands-on experience that enhances learning and applies theoretical concepts effectively.

Detalhes do produto

Shop Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ... (Data Analyst (Python) — Expert Micro Path) online at a best price in Cabo Verde. 8197081913
  • Test your Data Analysis skills to its fullest using Python and other no-code toolsBook DescriptionUltimate Python Libraries for Data Analysis and Visualization is your comprehensive guide to mastering the intricacies of data analysis and visualization using Python. This book serves as your roadmap to unlocking the full potential of Python for extracting insights from data using Pandas, NumPy, Matplotlib, Seaborn, and Julius AI. Starting with the fundamentals of data acquisition, you'll learn essential techniques for gathering and preparing data for analysis. From there, you’ll dive into exploratory data analysis, uncovering patterns and relationships hidden within your datasets.Through step-by-step tutorials, you'll gain proficiency in statistical analysis, time series forecasting, and signal processing, equipping you with the tools to extract actionable insights from any dataset. What sets this book apart is its emphasis on real-world applications. With a series of hands-on projects, you’ll apply your newfound skills to analyze diverse datasets spanning industries such as finance, healthcare, e-commerce, and more.By the end of the book, you'll have the confidence and expertise to tackle any data analysis challenge with Python. To aid your journey, the book includes a handy Python cheat sheet in the appendix, serving as a quick reference guide for common functions and syntax.Table of Contents1. Introduction to Data Analysis and Data Visualization using Python2. Data Acquisition3. Data Cleaning and Preparation4. Exploratory Data Analysis5. Statistical Analysis6. Time Series Analysis and Forecasting7. Signal Processing8. Analyzing Real-World Data Sets using PythonAPPENDIX A Python Cheat SheetIndex
Publisher Orange Education Pvt Ltd
Publication date 4 April 2024
Language English
Print length 267 pages
ISBN-10 8197081913
ISBN-13 978-8197081910
Item weight 463 g
Dimensions 19.05 x 1.55 x 23.5 cm
Book 2 of 2 Data Analyst (Python) — Expert Micro Path

Quem Deverá Comprar?

Suitable For
  • Data Analysts

    Ideal for data analysts needing comprehensive tools for manipulating datasets and generating insightful visualizations.

  • Data Science Students

    Perfect for students learning data science who want practical guidance on applying popular Python libraries.

  • No-Code Enthusiasts

    Great for users interested in data analysis without coding experience, offering no-code tools and clear instructions.

Not Suitable For
  • Absolute Beginners

    Not suitable for complete beginners to programming who lack foundational knowledge of Python and libraries.

DESCRIÇÃO DO PRODUTO

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Perguntas e respostas do cliente

  • Pergunta: What programming language does this book focus on?

    Resposta: The book primarily focuses on Python for data analysis and visualization.
  • Pergunta: Does this book include practical examples?

    Resposta: Yes, it includes hands-on projects and real-world datasets for practical application.
  • Pergunta: Is there a reference guide included?

    Resposta: Yes, a Python cheat sheet is included in the appendix for quick reference.

Data Mining Editorial Review

Ultimate Python Libraries For Data Analysis And Visualization Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI And No-Code Tools For Data ... Data Analyst Python Expert Micro Path is an essential read for aspiring data analysts. This 267-page book delves into powerful libraries like Pandas and NumPy, providing practical insights that can enhance both data analysis and visualization skills. Ideal for those venturing into the data field, it offers a comprehensive learning path. The clear language and well-structured content cater to both beginners and experienced professionals. Readers have appreciated its engaging layout and the step-by-step guidance that makes complex topics more digestible. Overall, it serves as a valuable resource for mastering data tools.

Avaliações e Classificações dos Clientes

18 classificações de clientes
  • 5 Estrela
    74%
  • 4 Estrela
    8%
  • 3 Estrela
    12%
  • 2 Estrela
    0%
  • 1 Estrela
    6%

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Prós

  • Thorough guide to data libraries
  • Easy to understand for beginners
  • Practical insights into data visualization
  • Well-structured content for learning
  • Engaging layout enhances user experience

Contras

  • May require prior knowledge of Python basics

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Recursos e benefícios

  • Master data analysis and visualization with Python.
  • Comprehensive guide covering popular libraries like Pandas and NumPy.
  • Step-by-step tutorials for statistical analysis and time series forecasting.
  • Hands-on projects for analyzing real-world datasets across various industries.
  • Includes a Python cheat sheet for quick reference.
  • Gain confidence to tackle any data analysis challenge.

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