Statistics For Big Data For Dummies demystifies the complexities of big data analysis, presenting the subject in an accessible and understandable manner. This book provides aspiring and current data analysts with the foundational knowledge necessary for success in this rapidly evolving field. Readers will benefit from a clear introduction to exploratory data analysis, gaining practical insights into data collection, cleaning, and organization. The book also offers comprehensive guidance on interpreting data using widely used software and programming languages. Through plain-English explanations and real-world examples, it empowers readers to derive meaningful insights and make informed decisions from complex datasets. Whether you are an experienced trader looking to refine your quantitative skills or new to the field, this resource will prove invaluable.
About the Author
Alan Anderson is a professor of economics and finance at Fordham University and New York University. He's a veteran economist, risk manager and fixed income analyst. David Semmelroth is an experienced data analyst, trainer and statistics instructor who consults on customer databases and database marketing. For those interested in enhancing their understanding of market trends, consider exploring additional resources like a technical analysis book. While this book provides a solid statistical foundation, experts like Ashish Kyal offer further specialized knowledge in trading strategies and market analysis.
