Dealing With Data Pocket Primer

Master the fundamentals of data science, from probability and statistics to data preprocessing, SQL, and data visualization, with this comprehensive guide.Key FeaturesComprehensive coverage of data science fundamentalsPractical examples and clear explanationsAdvanced topics in NLP and data visualizationBook DescriptionThis book introduces the basic concepts of managing data using various computer languages and applications. It is designed as a fast-paced introduction to key features of data management, including statistical concepts, data-related techniques, Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. The companion files with source code and color figures enhance the learning experience. Understanding these concepts is crucial for anyone looking to manage data effectively. The book covers the fundamentals of probability and statistics, working with data using Pandas, managing databases with SQL and MySQL, and cleaning data using NLP techniques. It also delves into data visualization, providing practical insights and numerous code samples. The journey begins with an introduction to probability and statistics, moving on to working with data and Pandas. It then covers RDBMS and SQL, focusing on practical SQL and MySQL usage. The book concludes with NLP, data cleaning, and visualization techniques, equipping readers with a comprehensive understanding of data management.What you will learnUnderstand probability and statisticsPreprocess various data typesWork with Pandas for data manipulationPerform SQL operationsImplement NLP techniquesVisualize data effectivelyWho this book is forIdeal for data science enthusiasts, professionals, and students, this book requires a basic understanding of mathematics and programming. It serves as an excellent resource for those looking to strengthen their data handling skills and gain practical knowledge in data science.