The book introduces the concepts of data analytics and shows you how to get your data ready and apply machine learning algorithms. Implement a complete predictive analytics solution with KNIME and assess its level of accuracy.

Understand the importance of data literacy and how to communicate effectively using data; Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis; Wrangle data and create DataFrames using pandas; Produce charts and data visualizations using time-series datasets

Data Analytics Made Easy is an accessible beginner’s guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results?

SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience. You will begin by learning how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data.

Data Analytics Made Easy is an accessible beginner’s guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don’t worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers.

Starting with the fundamentals of data analytics, you will explore what data analysis entails and why it's crucial in today's data-driven industries. You'll develop a data analyst mindset, honing your problem-solving and critical-thinking skills through practical exercises.

Perform data collection, data processing, wrangling, visualization, and model building using Python. What is this book about? Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data.

Data Analysis This page features the latest and most popular data analysis technology books. Browse bestsellers, newly released titles, trending topics, books by duration, and more. Find books for beginners to advanced users on data engineering, machine learning, business intelligence, data visualization, and other key data skills.

Practical exercises in this book are demonstrated on virtual machines (VM) from Cloudera, Hortonworks, MapR, or prebuilt Spark for Hadoop for getting started easily. The same exercises can be run on a bigger cluster as well. Prerequisites for using virtual machines on your laptop: