by Marco Bonzanini | Released April 2017 | ISBN: 9781788290548

Start your journey to become a Data Science practitioner using PythonAbout This VideoEasy to follow guide that will take you from being a beginner to a regular data science taskGet solutions to your common and not-so-common data science problems. Highly Practical, real world examples that make data science your comfort zone.In DetailPython is a popular programming language ,widely used in many scenarios and easy to use to use. Data Science is an interdisciplinary field that employs techniques to extract knowledge from data. As one of the fast growing fields in technology, the interest for Data Science is booming, and the demand for specialized talent is on the rise.This course introduces the audience to the field of Data Science using Python tools to manage and analyze data. You can learn some of the fundamental tools of the trade and apply them to real data problems. And along the way it discusses the use of Python stack for data analysis and scientific computing, and expands on concepts of data acquisition, data cleaning, data analysis and machine learning.This course uses Python 3.6, while not the latest version available, it provides relevant and informative content for legacy users of Python. Show and hide more

1. Chapter 1 : Python Core
   • The Course Overview 00:08:48
   • Python Core Concepts and Data Types 00:11:18
   • Understanding Iterables 00:05:54
   • List Comprehensions 00:06:06
   • Dates and Times 00:05:42
   • Accessing Raw Data 00:07:04
2. Chapter 2 : NumPy for Array Computation
   • Creating NumPy Arrays 00:08:21
   • Basic Stats and Linear Algebra 00:07:18
   • Reshaping, Indexing, and Slicing 00:06:38
3. Chapter 3 : Pandas for Data Frames
   • Getting Started with Pandas 00:09:24
   • Essential Operations with Data Frames 00:11:45
   • Summary Statistics from a Data Frame 00:09:49
   • Data Aggregation over a Data Frame 00:10:42
4. Chapter 4 : Exercise – Titanic Survivor Analysis
   • Exercise – Titanic Survivor Analysis 00:13:59
   • Predicting Titanic survival – A Supervised Learning Problem 00:10:16
   • Performing Supervised Learning with Scikit-Learn 00:13:38
Show and hide more