Learn how to use data science and Python to solve everyday business problems.Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.With only a basic understanding of Python and high school math, you’ll be able to effortlessly work through the book and start implementing data science in your day-to-day work. From improving a bike sharing company to extracting data from websites and creating recommendation systems, you’ll discover how to find and use data-driven solutions to make business decisions.Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms.You’ll also learn how to:

AcknowledgmentsIntroductionChapter 1: Exploratory Data AnalysisChapter 2: ForecastingChapter 3: Group ComparisonsChapter 4: A/B TestingChapter 5: Binary ClassificationChapter 6: Supervised LearningChapter 7: Unsupervised LearningChapter 8: Web ScrapingChapter 9: Recommendation SystemsChapter 10: Natural Language ProcessingChapter 11: Data Science in Other LanguagesIndex