Unleash the power of Python and its robust data science capabilities About This Book • Unleash the power of Python 3 objects • Learn to use powerful Python libraries for effective data processing and analysis • Harness the power of Python to analyze data and create insightful predictive models • Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics Who This Book Is For Entry-level analysts who want to enter in the data science world will find this course very useful to get themselves acquainted with Python's data science capabilities for doing real-world data analysis. What You Will Learn • Implement objects in Python by creating classes and defining methods • Get acquainted with NumPy to use it with arrays and array-oriented computing in data analysis • Create effective visualizations for presenting your data using Matplotlib • Apply data mining concepts to real-world problems • Compute on big data, including real-time data from the Internet • Explore how to use different machine learning models to ask different questions of your data In Detail The Data Science with Python course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules. Each of these modules are a mini course in their own right, and as you complete each one, you'll have gained key skills and be ready for the material in the next module. The course begins with getting your Python fundamentals nailed down. The first module, Python Fundamentals, is like a practical guide, filled with many step-by-step examples that dives into the formal principles of object-oriented programming and shows you how Python leverages them. In the second module, Data Analysis, you'll learn how to perform data analysis using Python in a practical and example-driven way. The aim is to turn you into an ace data analyst in no time. The next module will teach you how to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis to more complex data types including text, images, and graphs. The final module will get your familiar with machine learning techniques. Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Style and approach This course includes all the resources that will help you jump into the data science field with Python and learn how to
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|Size: ||56.2 MB|
|Publisher: ||Packt Publishing|
|Date published: || 2016|
|ISBN: ||9781786468413 (DRM-EPUB)|
|Read Aloud: ||not allowed|