Essential Data Analytics Books for Beginners in 2023: Your Reading Guide

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Best Professional Courses on Data-Analytics

1. Assessing Career Fit: Determine whether a career as a data analyst corresponds with your goals.
2. Understanding Concepts: Become acquainted with data analytics terminology and principles.
3. Job Interview Preparation: Gather information and talking points for upcoming job interviews.

4. Staying Current: Keep up with the latest data trends.
5. Skill Development: Learn new data analytics skills to start or grow your profession.

Data Analytics Books for Beginners

1. Dr. Anil Maheshwari's «Data Analytics Made Accessible»
— Overview: A thorough introduction to data analytics that is frequently used as a textbook in universities.
— Highlights include real-world examples, case studies, review questions, and R and Python lessons.

2. Annalyn Ng and Kenneth Soo's «Numsense! Data Science for the Layman: No Math Added»
— Overview: An approachable introduction to data science for people with no technical expertise.
— Highlights: Algorithm explanations without sophisticated arithmetic, useful for field communication.

3. Dr. Charles Russell Severance's «Python for Everybody: Exploring Data in Python 3»
— Overview: A user-friendly guide for learning Python coding, with a focus on data problems.
— Advantage: Intended for individuals with no prior coding knowledge.

4. Walter Shields' «SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL»
— Overview: A hands-on introduction to SQL with useful learning