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Barang #:
253446743
Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database
Barang #:
253446743
IDR 594143
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What Stands Out
Comprehensive Coverage
Offers thorough insights into key data science concepts, including predictive modeling and machine learning, catering specifically to beginners seeking a solid foundation in the field.
Practical Applications
Focuses on real-world applications of data analytics and visualization, helping readers understand how to leverage data effectively in business decision-making scenarios.
Accessible Language
Written in clear, understandable language, making complex data science topics approachable for novices, ensuring they can grasp and apply the principles without prior expertise.
Rincian Produk
- Do you want to learn about data science but aren't in the mood to read a boring textbook? Data science has a huge impact on how companies conduct business, and those who don't learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers. And it is all done by collecting and sorting through a large amount of information, so you have the right sources behind you when you make a major decision. In this guidebook, you will discover more about data science and how to get started in this field. This book will discuss the following topics: What is data science?How Big Data works and why it is so importantHow to do an explorative data analysisWorking with data miningHow to mine text to get the dataSome amazing machine learning algorithms to help with data scienceHow to do data modelingData visualizationHow to use data science to help your business growTips to help you get started with data scienceAnd much, much more!So if you are ready to get started with data science, click add to cart!
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | September, 2018 |
| Pages | 102 |
| Publisher | Amazon Digital Services LLC - Kdp |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Assembled product dimensions (l x w x h) | 6.00 x 0.21 x 9.00 Inches (15.2 x 0.5 x 22.9 cm) |
| Assembled product weight | 0.32 lb (150 grams) |
| Bisac subject heading | Computers |
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Herbert Jones All Books Editorial Review
Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners is a comprehensive guide that navigates the essential elements of data science, making it an ideal choice for beginners. This non-fiction paperback, published in September 2018, spans 102 pages and covers crucial topics such as data analytics and visualization, empowering readers to comprehend complex concepts in a practical way. Users have found the clear explanation of predictive modeling particularly beneficial, as it simplifies entry into this technical field.
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Pro
- Ideal for beginners in data science
- Comprehensive coverage of key data topics
- Clear explanations of complex concepts
- Practical guidance on data visualization
- Portable size for easy reading
Kontra
- Could have included more examples for clarity
Product Price History
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IDR 594143
Pesan sekarang dan dapatkan kira-kira pada Sunday, Oktober 25
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Stok hanya tersisa 99 barang.
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PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
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Fastest cross-border delivery
Fitur & Manfaat
- Learn data science in an engaging and accessible way.
- Enhance your decision-making capabilities with data-driven insights.
- Discover key topics like predictive modeling and data analytics.
- Understand the importance of Big Data for modern businesses.
- Get practical tips and techniques to kickstart your data science journey.
- Empower your business growth through effective data visualization.
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