Introduction to Data Analytics : Based on CST 322 Ktu syllabus

<p>The book covers a wide range of topics including:</p><p>Foundations of Data Analytics: Explore the core concepts of data analytics including data collection cleaning and organization as well as key statistical methods.<br/>Data Visualization: Learn how to present data effectively using a variety of visualization techniques and tools helping to uncover patterns and insights.<br/>Predictive Analytics: Dive into the world of machine learning and predictive modeling to forecast future trends and outcomes based on historical data.<br/>Big Data and Advanced Analytics: Understand the challenges and opportunities of working with large datasets and explore emerging technologies such as artificial intelligence and natural language processing.<br/>Ethical Considerations in Data Analytics: Gain insight into the ethical implications of data use including privacy data protection and responsible analytics.<br/>Throughout the book real-world examples and case studies illustrate the application of data analytics in various industries and domains from finance and healthcare to marketing and technology. Practical exercises and code snippets provide hands-on experience with popular data analytics tools and programming languages such as Python and R.</p>