Practitioner’s Guide to Data Science by Nasir Ali Mirza [Paperback]

Bridge the Gap Between Theory and Practice: Master Data Science with Nasir Ali Mirza's Practitioner's Guide (Paperback)

Are you ready to take your data science skills from the classroom to the real world?  Practitioner's Guide to Data Science by Nasir Ali Mirza (Paperback) is your comprehensive guide to implementing successful data science projects.  This practical handbook equips you with the tools, techniques, and processes needed to navigate the entire data science lifecycle.

Demystify the data science workflow and overcome common pitfalls.  This book goes beyond theory, providing a step-by-step approach that leverages industry-standard methodologies like CRISP-DM and Microsoft TDSP.  Learn how these frameworks can significantly improve your project's success rate.

Build a Solid Foundation for Success:

Gain a comprehensive understanding of core data science concepts and frameworks.
Master the art of data wrangling, including data acquisition, exploration, and analysis.
Hone your Python coding skills, essential for data manipulation and model building.
Develop proficiency in feature engineering, a critical skill for creating effective models.
Craft impactful data visualizations to communicate insights clearly and concisely.
Transform Data into Actionable Insights:

Implement real-world use cases using data from the HMDA dataset, gaining practical experience.

Navigate the Azure ML Service architecture, unlocking its capabilities for your data science team.

Learn to deploy and manage your models effectively, ensuring their ongoing success.
Integrate MLOps practices using Azure DevOps, streamlining the model development lifecycle.

By the end of this book, you'll be well-equipped to:

Design and execute data science projects with confidence.
Translate complex data into actionable business insights.
Leverage cutting-edge tools and techniques to solve real-world problems.

Practitioner's Guide to Data Science is an indispensable resource for aspiring and experienced data scientists alike.  Whether you're new to the field or seeking to refine your skills, this book provides the practical knowledge and hands-on guidance you need to excel in the ever-evolving world of data science.