Confident Data Science: Discover the Essential Skills of Data Science

The global data market is estimated to be worth $64 billion dollars, making it a more valuable resource than oil. Data scientists are essential for analyzing, interpreting, and innovating data. This book provides an overview of data science, including its key concepts, history, and the knowledge required to become a successful data scientist.

Format: Paperback / softback
Length: 408 pages
Publication date: 03 September 2023
Publisher: Kogan Page Ltd

The global data market is a highly valuable resource, estimated to be worth $64 billion dollars, surpassing the value of oil. However, the true value of data lies in its ability to be analyzed, interpreted, and transformed through innovative approaches by data scientists. In this comprehensive guide, "Confident Data Science" aims to empower individuals with the essential skills and confidence to excel in this field.

Chapter 1: Introduction to Data Science

This chapter provides an overview of data science, including its key concepts, history, and the knowledge required to become a successful data scientist. It covers topics such as data types, data analysis techniques, machine learning algorithms, and visualization tools.

Chapter 2: Analyzing Data with Python

Python is a widely used programming language for data analysis and manipulation. In this chapter, you will learn the basics of Python programming, including variables, data structures, loops, functions, and classes. You will also explore popular libraries like NumPy, Pandas, and Matplotlib, which are essential for data analysis and visualization.

Chapter 3: Visualizing Data with Tableau

Tableau is a powerful visualization tool that allows you to create interactive and visually appealing dashboards and reports. In this chapter, you will learn how to create and customize Tableau visualizations, including charts, graphs, and maps. You will also explore advanced features such as data blending and storytelling.

Chapter 4: Working with Clients in Data Science

Successful data science projects require effective communication and collaboration with clients. In this chapter, you will learn how to pitch to and work with clients, including understanding their needs, presenting your findings, and negotiating contracts. You will also explore the ethical considerations and challenges associated with data science.

Chapter 5: Career Opportunities in Data Science

Data science is a rapidly growing field with numerous career opportunities. In this chapter, you will explore different career paths in data science, including data analyst, data scientist, machine learning engineer, and data architect. You will also learn about the skills and qualifications required for each role.

Conclusion

Data science is a highly valuable and in-demand field that requires a combination of technical skills and soft skills. "Confident Data Science" provides a comprehensive guide to help individuals build their confidence and excel in this sector. Whether you are a beginner looking to start your career in data science or an experienced professional seeking to enhance your skills, this book is a valuable resource for you.

Weight: 502g
Dimension: 216 x 138 x 23 (mm)
ISBN-13: 9781398612327