"Foundations of Data Science" is the first book in an immersive series that introduces readers to the captivating world of data science. Focused on statistical analysis, Python programming, and SQL, this book provides a comprehensive introduction to the field. It is a valuable resource for beginners and intermediate learners seeking a solid foundation in data science.
The book begins by highlighting the importance of data science and its applications across various domains. It explains the role of programming languages, emphasizing the significance of statistical analysis in data science. Readers are introduced to Python programming, covering variables, data types, control flow, functions, modules, and file handling. These fundamental concepts equip readers with essential programming skills.
To build a strong statistical foundation, the book covers populations, samples, variables, and distributions. Measures of central tendency, dispersion, and correlation are explored, enabling readers to summarize and interpret data effectively. Probability theory is introduced, covering basic concepts, random variables, and probability distributions.
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Shreya Halder
Shreya Halder is an accomplished data scientist, educator, and author with a passion for demystifying complex concepts and making them accessible to learners of all levels. With over 10 years of experience in the field, John has worked on a wide range of data-driven projects, spanning industries such as finance, healthcare, and e-commerce.
