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{ "item_title" : "Mastering Data Science", "item_author" : [" Sk Singh "], "item_description" : "In the era of data-driven decision-making, Mastering Data Science: A Comprehensive Hands-On Guide serves as an essential resource for aspiring and experienced data scientists alike. Whether you're just getting started or looking to sharpen your skills, this book provides a structured, practical, and hands-on approach to mastering data science. A companion GitHub repository is provided, containing source code used in the book.What You Will Learn: Foundations of Python for Data Science - Understand the fundamentals of Python, control flow, functions, and essential libraries like NumPy and pandas.Data Preparation & Exploratory Data Analysis (EDA) - Learn techniques for data cleaning, handling missing values, feature engineering, and uncovering insights using visualization tools like Matplotlib and seaborn.Statistics and Mathematics for Data Science - Master descriptive and inferential statistics, probability, hypothesis testing, and essential mathematical concepts like linear algebra and calculus.Machine Learning Fundamentals - Dive deep into supervised and unsupervised learning, regression, classification, clustering, and model evaluation with scikit-learn.Advanced Topics in Data Science - Explore big data technologies, deep learning with TensorFlow, natural language processing (NLP), and time series forecasting.Real-World Applications & Model Deployment - Learn how to structure a data science project, implement end-to-end solutions, and deploy machine learning models using Flask and Streamlit.Career Preparation & Best Practices - Build a strong data science portfolio, prepare for interviews, and stay updated with industry trends.Why This Book?Hands-on Learning - Step-by-step practical examples, case studies, and real-world datasets.Comprehensive Coverage - A well-structured curriculum covering everything from Python basics to advanced AI techniques.Expert Guidance - Best practices, optimization tips, and troubleshooting advice for data science workflows.Career-Oriented - Guidance on portfolio building, certifications, and interview preparation.Whether you're an aspiring data scientist, a software engineer transitioning to data science, or a professional looking to upskill, Mastering Data Science is your ultimate companion for excelling in this field.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/830/867/9798308675037_b.jpg", "price_data" : { "retail_price" : "29.99", "online_price" : "29.99", "our_price" : "29.99", "club_price" : "29.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mastering Data Science|Sk Singh

Mastering Data Science : A Comprehensive Hands-on Guide

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Overview

In the era of data-driven decision-making, Mastering Data Science: A Comprehensive Hands-On Guide serves as an essential resource for aspiring and experienced data scientists alike. Whether you're just getting started or looking to sharpen your skills, this book provides a structured, practical, and hands-on approach to mastering data science.

A companion GitHub repository is provided, containing source code used in the book.

What You Will Learn:

Foundations of Python for Data Science - Understand the fundamentals of Python, control flow, functions, and essential libraries like NumPy and pandas.
Data Preparation & Exploratory Data Analysis (EDA) - Learn techniques for data cleaning, handling missing values, feature engineering, and uncovering insights using visualization tools like Matplotlib and seaborn.
Statistics and Mathematics for Data Science - Master descriptive and inferential statistics, probability, hypothesis testing, and essential mathematical concepts like linear algebra and calculus.
Machine Learning Fundamentals - Dive deep into supervised and unsupervised learning, regression, classification, clustering, and model evaluation with scikit-learn.
Advanced Topics in Data Science - Explore big data technologies, deep learning with TensorFlow, natural language processing (NLP), and time series forecasting.
Real-World Applications & Model Deployment - Learn how to structure a data science project, implement end-to-end solutions, and deploy machine learning models using Flask and Streamlit.
Career Preparation & Best Practices - Build a strong data science portfolio, prepare for interviews, and stay updated with industry trends.

Why This Book?

Hands-on Learning - Step-by-step practical examples, case studies, and real-world datasets.
Comprehensive Coverage - A well-structured curriculum covering everything from Python basics to advanced AI techniques.
Expert Guidance - Best practices, optimization tips, and troubleshooting advice for data science workflows.
Career-Oriented - Guidance on portfolio building, certifications, and interview preparation.

Whether you're an aspiring data scientist, a software engineer transitioning to data science, or a professional looking to upskill, Mastering Data Science is your ultimate companion for excelling in this field.

This item is Non-Returnable

Details

  • ISBN-13: 9798308675037
  • ISBN-10: 9798308675037
  • Publisher: Independently Published
  • Publish Date: January 2025
  • Dimensions: 11 x 8.5 x 0.94 inches
  • Shipping Weight: 2.35 pounds
  • Page Count: 464

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