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Analytics: Data Science, Data Analysis and Predictive Analytics for Business
82% of respondents would recommend this to a friend
CLP 44764
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Knowing and following the strategies in this book will surely get you on your way to having the best business outcomes!
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- UPDATED AND IMPROVED Thank you to all those leaving reviews and providing feedback! 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, moreYou will never be able to get information this comprehensive anywhere else. Knowing and following the strategies in this book will surely get you on your way to having the best business outcomes! To learn what you need to know; SCROLL UP AND DOWNLOAD YOUR COPY TODAY!
| Publication date | December 23, 2015 |
| Language | English |
| File size | 1.9 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Enabled |
| Print length | 293 pages |
| Page Flip | Enabled |
| Item Weight | 0.5 lbs (230 grams) |
Who Should Buy?
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Business Analysts
Ideal for professionals seeking to enhance their analytical skills to make data-driven business decisions effectively.
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Students in Data Science
Beneficial for students wanting to understand practical applications of data analysis and predictive modeling techniques.
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Entrepreneurs
Helpful for entrepreneurs looking to leverage data to drive business strategies and improve operational efficiency.
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Casual Readers
Not suitable for those looking for light reading, as it focuses on technical analytics concepts and methodologies.
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Linear Editorial Review
Analytics: Data Science, Data Analysis and Predictive Analytics for Business is a comprehensive guide for anyone looking to understand data analytics. The book, published by Independently, delivers insights in a user-friendly manner, making it suitable for beginners. Readers appreciate its clear exposition on the importance of data mining and analysis, which is crucial for achieving business goals. While it provides a solid foundation for new entrants in the field, some critiques mention that it might not provide in-depth analysis or advanced techniques. Nevertheless, many find it beneficial for developing a fundamental understanding of data analysis and predictive analytics in business contexts.
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Pros
- Comprehensive yet easy for beginners to grasp.
- Clarifies data mining and its significance.
- Great introductory resource for new business owners.
- Encourages understanding of predictive analytics.
- Reassures readers with simple terms and concepts.
Cons
- Lacks visual aids like graphs and charts.
Product Price History
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CLP 44764
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Features & Benefits
- Unlock the power of analytics to enhance your business success.
- Learn simple, actionable data analysis techniques.
- Master predictive analytics to foresee market trends.
- Implement regression techniques and machine learning strategies.
- Utilize risk management tips for sustainable success.
- Download today to transform your business outcomes!
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