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Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data
Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course.
Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data
Vare #: 46000762

Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data

Vare #: 46000762

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Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course.
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Hvad der skiller sig ud

Industry-standard Tools
Leverage leading data analysis tools like Python and Jupyter to efficiently handle and analyze data, ensuring relevancy and effectiveness in modern data-driven decisions.
Actionable Insights
Transform complex data sets into clear, actionable insights that inform strategic decision-making, empowering organizations to optimize performance and achieve their goals.
Beginner Friendly
Designed for newcomers, this guide simplifies data analysis principles, making it accessible for all skill levels and fostering confidence in using powerful analytical techniques.

Produktdetaljer

Unlock actionable insights from data with powerful tools. Order the Beginning Data Science with Python and Jupyter from Ubuy Faroe Islands, a Faroe Islands.
  • Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.Key FeaturesGet up and running with the Jupyter ecosystem and some example datasetsLearn about key machine learning concepts like SVM, KNN classifiers and Random ForestsDiscover how you can use web scraping to gather and parse your own bespoke datasetsBook DescriptionGet to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context.What you will learnIdentify potential areas of investigation and perform exploratory data analysisPlan a machine learning classification strategy and train classification modelsUse validation curves and dimensionality reduction to tune and enhance your modelsScrape tabular data from web pages and transform it into Pandas DataFramesCreate interactive, web-friendly visualizations to clearly communicate your findingsWho This Book Is ForThis book is ideal for professionals with a variety of job descriptions across large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries like Pandas, Matplotlib and Pandas providing you a useful head start.Table of ContentsJupyter FundamentalsData Cleaning and Advanced Machine LearningWeb Scraping and Interactive Visualizations
Publisher Packt Publishing
Publication date June 5, 2018
Language English
Print length 194 pages
ISBN-10 1789532027
ISBN-13 978-1789532029
Item Weight 12.2 ounces (345.87 grams)
Dimensions 7.5 x 0.44 x 9.25 inches (19.1 x 1.1 x 23.5 cm)

Hvem bør købe?

Suitable For
  • Aspiring Data Analysts

    Individuals starting their journey in data analysis who want to learn Python and Jupyter.

  • Business Professionals

    Professionals looking to derive insights from existing data to enhance decision-making in their organizations.

  • Students in Data Science

    Students studying data science or related fields and need foundational skills in Python for analytics.

Not Suitable For
  • Advanced Data Scientists

    Experienced data scientists might find the content too basic and not challenging enough for their needs.

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Data Processing Editorial Review

"Beginning Data Science with Python and Jupyter" is a book that promises to help readers use powerful tools to unlock actionable insights from data. While some readers found the book's organization to be poor and the concepts not fully explained, others found it to be an excellent resource for beginners. The book appears to be best suited for those with basic knowledge of Python who want to get started with data science without going over all of the basics of the language again. The book shows readers step-by-step how to get up and running with Jupyter and then works through Python data science libraries that are commonly used in the industry. The book has a lot of step-by-step examples and activities, which works quite well given the subject matter.

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Fordele

  • Excellent for beginners
  • Focused on Jupyter and Python data science libraries
  • Step-by-step examples and activities

Ulemper

  • Poorly organized

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