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Tag: Deconstructed

  • Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & … Science, Python & Statistics for Beginners)


    Price: $14.85
    (as of Jan 17,2025 18:13:38 UTC – Details)


    From the Publisher

    Add Machine Learning to Your Skill Stack in 2023

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    Plain English Explanations

    All technical concepts are explained in plain English to keep you learning all the way to the final chapter!

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    Video Content Included

    Enjoy access to video classes and code demonstrations to reinforce fundamental concepts.

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    Chapter Quizzes

    Test your knowledge and technical understanding with practical chapter quizzes along the way.

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    Code Exercises

    Learn how to code your own basic prediction models using Python and datasets available online.

    Add to Cart

    Customer Reviews

    4.4 out of 5 stars

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    4.5 out of 5 stars

    217

    4.1 out of 5 stars

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    4.4 out of 5 stars

    515

    4.5 out of 5 stars

    48

    4.4 out of 5 stars

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    Price

    $15.80$15.80 $3.99$3.99 $3.99$3.99 $3.94$3.94 $3.99$3.99 $3.92$3.92

    Python Code Examples

    Pre-requisites
    None (basic Python & statistics useful) Basic Python Basic Python None None

    Video Content

    Publisher ‏ : ‎ Independently published (July 21, 2019)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 159 pages
    ISBN-10 ‏ : ‎ 1081762462
    ISBN-13 ‏ : ‎ 978-1081762469
    Item Weight ‏ : ‎ 8.6 ounces
    Dimensions ‏ : ‎ 6 x 0.4 x 9 inches

    Customers say

    Customers find the book provides an excellent introduction to basic concepts of data science in a layman’s language. They find it a great resource for explaining the fundamentals of data science in readable and easy-to-follow instructions. The book is described as a good first step into data analytics and a great read.

    AI-generated from the text of customer reviews


    In today’s data-driven world, the ability to understand and analyze data is a crucial skill. Whether you’re a business professional, a student, or just someone interested in learning more about data analytics, this deconstructed guide is designed to help you develop your data literacy from the ground up.

    In this post, we will cover the basics of data analytics, including what data is, how to visualize data, and how to use data for business intelligence. We will also explore the world of data science, and introduce you to programming languages like Python and statistics for beginners.

    By the end of this guide, you will have a solid foundation in data analytics and be well-equipped to start exploring the vast world of data science. So let’s dive in and start our journey to becoming data-literate!
    #Data #Analytics #Absolute #Beginners #Deconstructed #Guide #Data #Literacy #Introduction #Data #Data #Visualization #Business #Intelligence #Science #Python #Statistics #Beginners,machine learning: an applied mathematics introduction

  • Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: [

    Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: [



    Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: [

    Price : 9.99

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    Data analytics can seem like a daunting and complex field to navigate for beginners, but fear not! In this guide, we will deconstruct the world of data analytics to help you gain a better understanding of this important skill.

    1. What is data analytics?
    Data analytics is the process of examining and interpreting data to uncover insights, trends, and patterns that can help organizations make informed decisions. It involves collecting, cleaning, and analyzing large sets of data to extract valuable information.

    2. Why is data analytics important?
    Data analytics is crucial for businesses to make data-driven decisions and stay competitive in today’s fast-paced market. It can help organizations identify opportunities for growth, optimize processes, and improve overall performance.

    3. Key concepts in data analytics:
    – Data visualization: Representing data in visual formats like charts, graphs, and dashboards to make it easier to understand and interpret.
    – Descriptive analytics: Analyzing past data to understand what happened and why.
    – Predictive analytics: Using historical data to make predictions about future outcomes.
    – Prescriptive analytics: Recommending actions to take based on analysis of past and current data.

    4. Tools for data analytics:
    There are a variety of tools available for data analytics, ranging from basic spreadsheet software like Excel to more advanced tools like Tableau, Power BI, and Python. These tools can help you analyze data, create visualizations, and gain valuable insights.

    5. How to get started with data analytics:
    – Learn the basics of statistics and data analysis.
    – Familiarize yourself with data visualization techniques.
    – Practice using different data analytics tools and software.
    – Take online courses or attend workshops to deepen your knowledge.

    By understanding the fundamentals of data analytics, you can become more data literate and equipped to make informed decisions based on data-driven insights. Remember, data analytics is a valuable skill that can open up new opportunities and help you succeed in today’s data-driven world.
    #Data #Analytics #Absolute #Beginners #Deconstructed #Guide #Data #Literacy

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