CBSE

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Class 10

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Data Science

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By - Shweta Mittal

A Textbook of Data Science for Class 10

ISBN/SKU: 9789392530654

Key Highlights

  • CBSE Aligned
  • Practical Application
  • Ethical Considerations
  • Interactive Learning
  • Topic-Wise Audio-Video Lectures
  • Comprehensive Coverage
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About the Book

Data is meaningless until its conversion into valuable information. Data Science involves mining large datasets containing structured and unstructured data and identifying hidden patterns to extract actionable insights.
Data Science is one of the most popular emerging domains and most sought-after career options. Data Science is revolutionizing almost every industry and gaining popularity day by day. Data Science enables enterprises to measure, track, and record performance metrics for facilitating enhanced decision-making. Data Science is widely used in various industry domains, including marketing, healthcare, finance, banking, policy work, and more. That explains why Data Science is important.


Some of the many Data science benefits include the following:

• In the healthcare industry, physicians use Data Science to analyze data from wearable trackers to ensure their patients’ well-being and make vital decisions.

• Retailers use Data Science to enhance customer experience and retention.

• Data Science is widely used in the banking and finance sectors for fraud detection and personalized financial services.

• Transportation providers use Data Science to enhance the transportation journeys of their customers.

• Construction companies use Data Science for better decision-making by tracking activities.

• Data Science enables trapping and analyzing massive data from manufacturing processes.

• Data Science facilitates firms to leverage social media content to obtain real-time media content usage patterns. This enables the firms to create target audience-specific content, measure content performance, and recommend

   on-demand content.

• Data Science helps study utility consumption in the energy and utility domain.

With its footprint in practically every industry, Data Science job demand is estimated to rise several-fold in the future. The importance of Data Science is growing with every coming day.

The CBSE has introduced this subject for the students of classes 8 to 10 as a skill subject. I am pleased to present the Series on Data Science for the students of classes 8 to 10 strictly in accordance with the latest syllabus and content prescribed by the CBSE. The present book for class 10 is divided into two sections: Part A and Part B. Part A includes the “Employability Skills” and Part B covers the “Subject Specific Skills”. Part B of the book covers tools and techniques utilized in data collection, data analysis and then using that data to extract meaningful information from it. In this way, this book also covers the explanation of various statistical and mathematical terminologies, which are helpful in working with the data. The last chapter of this book includes the ethical issues governing Data Science.

The book presents the concepts in a very simple language with easy to understand examples adapted from day-to-day life. Relevant figures and additional information have been provided in the form of Did you know. In the midst of the chapter, the students can assess themselves and challenge their understanding with the help of Check your knowledge and fun-filled activities. Towards the end of every chapter, Multiple-choice-questions, Fill in the blanks, true/False and short and long answer questions are given. The exercise includes hots (higher order thinking skills) and applied Projects, keeping in mind the practical value of the lessons learnt in data science.

One of the special feature of this book is topic-wise audio-video lectures through Qr codes by the subject experts.

I hope that this book will meet the needs and requirements of the students and teachers as laid down in the syllabus. Any suggestion for further improvement of the book will be most welcomed.
— Authors

Category Course Book
Format Digital Book
No. of pages 4

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