Analytics: Data Science, Data Analysis and Predictive Analytics for Business
Analytics: Data Science, Data Analysis and Predictive Analytics for Business
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Analytics: Data Science, Data Analysis and Predictive Analytics for Business
Analytics: Data Science, Data Analysis and Predictive Analytics for Business
This book will teach you, in simple and easy-to-understand terms, how to take advantage of data from your daily operations and make such data a powerful tool that can influence how well your business does over time.
Analytics: Data Science, Data Analysis and Predictive Analytics for Business
Nr produktu: 35282514

Analytics: Data Science, Data Analysis and Predictive Analytics for Business

81% klientów poleciłoby ten produkt znajomym

Nr produktu: 35282514

PLN 183

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This book will teach you, in simple and easy-to-understand terms, how to take advantage of data from your daily operations and make such data a powerful tool that can influence how well your business does over time.
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Co wyróżnia ten produkt

Comprehensive Learning
Covers data science, analysis, and predictive analytics, providing a holistic approach to understanding data in business contexts, empowering learners to make informed decisions across various sectors.
Practical Applications
Focuses on real-world business scenarios, enabling users to apply analytical concepts directly to their companies, thus enhancing efficiency, profitability, and competitive advantage.
User-Friendly Resources
Offers intuitive materials and tools designed for all skill levels, ensuring that users from different backgrounds can grasp complex analytics concepts effortlessly and integrate them into their business strategies.

Szczegóły Produktu

Shop Analytics: Data Science, Data Analysis and Predictive Analytics for Business online at a best price in Polska. B0939V8768
  • SO MANY PEOPLE DREAM OF BECOMING THEIR OWN BOSS OR SUCCEEDING IN THEIR CHOSEN PROFESSION, AND WITH THE RESOURCES AVAILABLE TODAY, MORE ENTREPRENEURS AND PROFESSIONALS ARE ACHIEVING GREAT SUCCESS! HOWEVER, SUCCESS SHOULD BE DEFINED FOR THE LONG TERM, AND AS OPPORTUNITIES START TO GROW, SO DOES THE COMPETITION.Getting your business up and running or starting on your career path is one thing, but have a sustainable business or career is completely another. Many people make the mistake of making plans but having no follow-through. This is where analytics comes in.Don’t you wish to have the power to know what your target consumers are thinking? Won’t you want to have a preview of what future trends to expect in the market you are in?Well, this book is just the one you need. This book will teach you, in simple and easy-to-understand terms, how to take advantage of data from your daily operations and make such data a powerful tool that can influence how well your business does over time. The contents of this book are designed to help you use data to your advantage to enhance business outcomes!Here’s what this book will teach you:Why data is your single most powerful toolHow to conduct data analysis to enhance your businessWhich steps to take in performing predictive analysisWhat techniques you need to employ to achieve sustainable successPLUS:Regression techniquesMachine learning strategiesRisk management tipsAnd much, much, more
Publisher Independently published
Publication date April 25, 2021
Language English
Print length 289 pages
ISBN-13 979-8744157982
Item Weight 1.11 pounds (500 grams)
Dimensions 6.24 x 0.84 x 9.24 inches (15.8 x 2.1 x 23.5 cm)

Dla kogo jest przeznaczony?

Suitable For
  • Business Analysts

    Provides essential tools for analyzing data trends and making informed business decisions through statistical methods.

  • Data Science Professionals

    Equips data scientists with the necessary skills to perform advanced analytics and predictive modeling in various sectors.

  • Small Business Owners

    Helps small enterprises leverage data analytics to optimize operations and improve marketing strategies effectively.

Not Suitable For
  • Complete Beginners

    Individuals with no prior knowledge of data analytics may find the concepts and terminology overwhelming.

OPIS PRODUKTU

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Pytania i odpowiedzi klientów

  • pytanie: What is analytics in the context of data science?

    odpowiedź: Analytics refers to the systematic computational analysis of data, primarily used to uncover insights, patterns, and trends that inform decision-making in a business context. Understanding analytics is essential as it allows businesses to leverage their data effectively, transforming raw information into actionable insights. For instance, companies can utilize analytics to optimize marketing strategies or enhance customer experiences by predicting behavior.
  • pytanie: How does data analysis benefit businesses?

    odpowiedź: Data analysis benefits businesses by enabling them to make informed decisions based on actual performance and trends rather than intuition. By thoroughly analyzing data, organizations can identify areas for improvement and streamline operations. For example, a retail company might analyze sales patterns to adjust inventory levels, ensuring they meet customer demand without overstocking.
  • pytanie: What role does predictive analytics play in business strategy?

    odpowiedź: Predictive analytics plays a crucial role in shaping business strategy by forecasting future outcomes based on historical data. It helps organizations anticipate market trends, customer behavior, and potential risks. For instance, a financial institution could use predictive models to assess the likelihood of loan defaults, allowing them to mitigate risks and improve central decision-making processes.
  • pytanie: What types of data are typically analyzed in business analytics?

    odpowiedź: Typically, data analyzed in business analytics includes customer data, transactional data, operational data, and market trends. This diverse dataset allows businesses to gain comprehensive insights into customer behavior and operational efficiency. For example, a restaurant can analyze customer preferences and peak dining times to tailor its menu offerings and optimize staffing.
  • pytanie: What tools are commonly used for data analysis?

    odpowiedź: Common tools for data analysis include software like Excel, Tableau, R, and Python alongside databases like SQL and NoSQL. These tools facilitate data manipulation, visualization, and statistical analysis, making complex datasets manageable. A marketing team, for instance, may use Tableau to create interactive dashboards that showcase campaign performance for stakeholders.
  • pytanie: Can small businesses leverage data science?

    odpowiedź: Yes, small businesses can absolutely leverage data science to enhance their operations and decision-making. By using affordable analytics tools, smaller companies can gain insights into customer behavior, optimize marketing efforts, and improve financial forecasting. For instance, a local bakery can analyze social media engagement to determine the best times to run promotions.
  • pytanie: Is it necessary to have a data science team to implement analytics?

    odpowiedź: While having a dedicated data science team can enhance analytics capabilities, it is not strictly necessary. Many organizations utilize data analysts, or even third-party services and software, to implement and manage analytics. For example, a small startup may hire consultants to set up data analytics processes without needing a full-time team.
  • pytanie: How can predictive analytics improve customer service?

    odpowiedź: Predictive analytics can significantly enhance customer service by identifying trends in customer inquiries and behaviors. By analyzing past interactions, companies can anticipate customer needs and personalize their service approach. For example, an e-commerce platform may use predictive analytics to recommend products based on a customer's previous purchases, improving overall satisfaction.
  • pytanie: What is the difference between descriptive and predictive analytics?

    odpowiedź: Descriptive analytics focuses on summarizing historical data to understand what has happened, while predictive analytics forecasts future events based on this historical data. Understanding this difference is vital for businesses looking to transition from merely reporting past metrics to proactively strategizing for the future. For example, descriptive analytics might show a rise in sales last quarter, while predictive analytics could forecast continued growth based on identified trends.
  • pytanie: Where can I buy Analytics Data Science, Data Analysis And Predictive Analytics For Business in Poland?

    odpowiedź: You can buy Analytics Data Science, Data Analysis And Predictive Analytics For Business from Ubuy in Poland. Ubuy is a reliable online platform that offers a wide range of products, ensuring a simplified shopping experience and efficient order processing. By choosing Ubuy, you get access to exclusive products and special deals that may not be available elsewhere.

Probability & Statistics Editorial Review

The book "Analytics: Data Science, Data Analysis and Predictive Analytics for Business" by Daniel Covington is receiving a mixed reception from customers. Many readers appreciate its accessible approach to introducing fundamental concepts in data analysis, making it suitable for beginners and those new to the field. They often highlight how the book effectively emphasizes the crucial role of data in business operations and decision-making, reinforcing the importance of understanding data mining and analysis for achieving business objectives. Reviewers find the content comprehensive yet manageable, allowing them to apply the lessons learned to their businesses, particularly in entrepreneurial settings. However, some users express dissatisfaction with the book's depth and practical application. Critics argue that it is overly simplistic, akin to a high-level overview that lacks the substantive technical insights necessary for more experienced readers or those looking for specific methods and examples, such as graphs or charts. This has led to mixed feelings, where some Consider it a solid introductory text while others deem it insufficient for deeper understanding or practical use in the field. Overall, while the book serves as a helpful initial guide for beginners, it may fail to meet expectations for those seeking more detailed or advanced information in analytics. **

Opinie i oceny klientów

100 oceny klientów
  • 5 gwiazdka
    31%
  • 4 gwiazdka
    19%
  • 3 gwiazdka
    23%
  • 2 gwiazdka
    22%
  • 1 gwiazdka
    5%

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Zalety

  • Comprehensive overview of data analysis and predictive analytics for beginners.
  • Simplifies complex concepts without overwhelming the reader.
  • Appreciated for its relevance to business goals and decision-making.
  • Useful for entrepreneurs and those starting in data-related fields.

Wady

  • Considered too basic and high-level for more advanced readers.

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PLN 183

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Cechy i zalety

  • Unlock the power of data for sustainable business success.
  • Learn to analyze data to improve business outcomes.
  • Master predictive analysis and its significance.
  • Discover essential techniques for data-driven decision making.
  • Explore regression techniques and machine learning strategies.
  • Gain insights into effective risk management for your business.

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