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Data Science Class X | Preeti Saxena | 1st Edition (2024) | S.K. Kataria & Sons (English Medium)
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369-450 |
[Shipping Cost = Standard Mode, Expedite Mode]
Data Science Class X | Preeti Saxena | 1st Edition (2024) | S.K. Kataria & Sons (English Medium)
The book "Data Science Class X" by Preeti Saxena is a comprehensive guide for students studying data science at the class X level. This 1st edition, published in 2024 by S.K. Kataria & Sons in English medium, covers all the essential topics and concepts related to data science in a clear and concise manner. The book is designed to help students understand the fundamentals of data science, including data analysis, data visualization, machine learning, and more. It provides step-by-step explanations and examples to make complex concepts easy to grasp. With practical exercises and real-world case studies, students can apply their knowledge and skills to solve relevant problems. Preeti Saxena, the author of this book, is an experienced educator with a passion for teaching data science. Her expertise shines through in the way she presents the material, making it accessible and engaging for students of all levels. Whether you are new to data science or looking to deepen your understanding, this book is a valuable resource for anyone interested in this rapidly growing field. Overall, "Data Science Class X" is a must-have book for students who want to excel in data science and build a strong foundation for future studies or careers in this field.
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The book "Data Science Class X" by Preeti Saxena is a comprehensive guide for students studying data science at the class X level. This 1st edition, published in 2024 by S.K. Kataria & Sons in English medium, covers all the essential topics and concepts related to data science in a clear and concise manner. The book is designed to help students understand the fundamentals of data science, including data analysis, data visualization, machine learning, and more. It provides step-by-step explanations and examples to make complex concepts easy to grasp. With practical exercises and real-world case studies, students can apply their knowledge and skills to solve relevant problems. Preeti Saxena, the author of this book, is an experienced educator with a passion for teaching data science. Her expertise shines through in the way she presents the material, making it accessible and engaging for students of all levels. Whether you are new to data science or looking to deepen your understanding, this book is a valuable resource for anyone interested in this rapidly growing field. Overall, "Data Science Class X" is a must-have book for students who want to excel in data science and build a strong foundation for future studies or careers in this field.
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Product Details
SKU / BOOK Code: | SKKS-419-X-PS-1E24-(E) |
Publisher: | S.K. Kataria and Sons |
Author: | Preeti Saxena |
Binding Type: | Paperback |
No. of Pages: | 325 |
ISBN-10: | 9350147602 |
ISBN-13: | 978-9350147603 |
Edition: | 1st edition |
Language: | English Medium |
Publish Year: | 2024-01 |
Weight (g): | 440 |
Product Condition: | New |
Reading Age: | Above 10 Years |
Country of Origin: | India |
Genre: | Textbooks & Study Guides |
Manufacturer: | S.K. Kataria and Sons |
Importer: | S.K. Kataria and Sons |
Packer: | Fullfilled by Supplier |
Product Description
Data Science Class X | Preeti Saxena | 1st Edition (2024) | S.K. Kataria & Sons (English Medium)
The book "Data Science Class X" by Preeti Saxena is a comprehensive guide for students studying data science at the class X level. This 1st edition, published in 2024 by S.K. Kataria & Sons in English medium, covers all the essential topics and concepts related to data science in a clear and concise manner. The book is designed to help students understand the fundamentals of data science, including data analysis, data visualization, machine learning, and more. It provides step-by-step explanations and examples to make complex concepts easy to grasp. With practical exercises and real-world case studies, students can apply their knowledge and skills to solve relevant problems. Preeti Saxena, the author of this book, is an experienced educator with a passion for teaching data science. Her expertise shines through in the way she presents the material, making it accessible and engaging for students of all levels. Whether you are new to data science or looking to deepen your understanding, this book is a valuable resource for anyone interested in this rapidly growing field. Overall, "Data Science Class X" is a must-have book for students who want to excel in data science and build a strong foundation for future studies or careers in this field.
Search Keywords - Data Science Class X book, Preeti Saxena Data Science Class X, Data Science textbook 2024, S.K. Kataria & Sons Data Science book, English medium Data Science book, Best Data Science books for class X, Data Science syllabus for class 10, Data analysis textbook for high school, Machine learning basics for beginners, Top data science authors, Data visualization techniques explained, Practical exercises for data science students, Real-world case studies in data science, Understanding algorithms in data science, Importance of statistics in data analysis, Learning programming languages for data science, Career opportunities in data science field, 18 .Data scientist job description and salary, 19 .How to study data science effectively, 20 .Preparing for exams with Data Science Class X
The book "Data Science Class X" by Preeti Saxena is a comprehensive guide for students studying data science at the class X level. This 1st edition, published in 2024 by S.K. Kataria & Sons in English medium, covers all the essential topics and concepts related to data science in a clear and concise manner. The book is designed to help students understand the fundamentals of data science, including data analysis, data visualization, machine learning, and more. It provides step-by-step explanations and examples to make complex concepts easy to grasp. With practical exercises and real-world case studies, students can apply their knowledge and skills to solve relevant problems. Preeti Saxena, the author of this book, is an experienced educator with a passion for teaching data science. Her expertise shines through in the way she presents the material, making it accessible and engaging for students of all levels. Whether you are new to data science or looking to deepen your understanding, this book is a valuable resource for anyone interested in this rapidly growing field. Overall, "Data Science Class X" is a must-have book for students who want to excel in data science and build a strong foundation for future studies or careers in this field.
Search Keywords - Data Science Class X book, Preeti Saxena Data Science Class X, Data Science textbook 2024, S.K. Kataria & Sons Data Science book, English medium Data Science book, Best Data Science books for class X, Data Science syllabus for class 10, Data analysis textbook for high school, Machine learning basics for beginners, Top data science authors, Data visualization techniques explained, Practical exercises for data science students, Real-world case studies in data science, Understanding algorithms in data science, Importance of statistics in data analysis, Learning programming languages for data science, Career opportunities in data science field, 18 .Data scientist job description and salary, 19 .How to study data science effectively, 20 .Preparing for exams with Data Science Class X
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Selling Price & Shipping Fee: In Product details page we have clearly mentioned the Selling Price & Shipping Fees separately, So, when you click on "BUY NOW" You will be charges Selling Price + Shipping Fees. The Shipping fees may different for each products depends on the weight of the Product. The shipping cost includes the courier charges, packaging charges, transport charges, fuel charges and other charges. Sometimes the total payable amount may be different for Instamojo Payment Gateway. Buyers are requested to check before purchasing the products. After making the purchase we may not allow or consider users to modify.
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