PYTHON FOR DATA ANALYSIS
Cód:
491_9781801203241
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Are you a new business owner?Or an entrepreneur looking to catch up to the big companies in your industrial sector?If you want to be a data analysis expert, and looking to develop a sound understanding of all the nitty-gritty of this field, then this book is here to rescue you by simplifying and providing a working definition of Big Data and Big Data Analytics.In addition to that, this book will also provide you a concise overview of the fundamentals of machine learning, the underlying challenges and limitations of engineering machines to think using open source data analysis libraries built on Python such as Scikit-Learn and Pandas, with example from open source data sets that you can easily access and get your hands dirty.Thanks to the smart and savvy customer of today, the competition to gain new customers while retaining existing customers is fierce. As a result, companies are increasingly relying upon cutting edge technologies such as big data analytics, data mining technology, machine learning, and artificial intelligence technology to gain an edge over the competition. Few of the many reasons why you should buy this book include: • Learn how our increasing online presence has led to the development of large volumes of data called Big Data and its significance in our modern lives.• Learn all about the historical development of the current explosion in this field of Big Data Analytics and how it differs from data visualization techniques.• Dig deep into the data mining process, the benefits of using data mining technology, the challenges facing the data mining technology, and learn about some data mining tools that you can leverage for your business. • Get familiar with the Python programming language with a detailed overview of a variety of Data Analysis libraries, including Django, Scikit-Learn, NumPy, Pandas, and IPython among others.• Deep dive into the concept of personalized marketing, predictive analytics, customer analytics, and
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