InfoTech

 . 01. Functions 01.1 Why Use Functions? 01.2 Coding Functions 01.3 A First Example: Definitions and Calls 01.4 A Second Example: Intersecting Sequences 02. Scopes and Arguments 02.1 Scope Rules 02.2 The global Statement 02.3 Scopes and Nested Functions 02.4 Passing Arguments 02.5 Special Argument Matching Modes 03. Advanced Function Topics 03.1 Anonymous Functions: lambda 03.2 Applying Functions to Arguments 03.3 Mapping Functions Over Sequences 03.4 Functional Programming Tools 03.5 List Comprehensions 03.6 Generators and Iterators 03.7 Function Design Concepts 03.8 Function - Miscellaneous 04. Modules 04.1 Why Use Modules? 04.2 Python Program Architecture 04.3 How Imports Work 05. Module Coding Basics 05.1 Module Creation 05.2 Module Usage 05.3 Module Namespaces 05.4 Reloading Modules 06. Module Packages 06.1 Package Import Basics 06.2 Package Import Example 06.3 Why Use Package Imports? 06.4 A Tale of Three Systems 07. Advanced Module Topics 07.1 Data Hiding in Modules 07.2 Ena...

This is a foundation level course designed to provide you with an understanding of Big Data, the potential sources of Big Data that can be used for solving real business problems and also provide an overview of Data Mining and the tools used in it.  This is a fundamental course with practical exercises designed to provide you with some degree of hands-on experience in using two of the most popular technologies in Big Data processing – Hadoop and MongoDB.  You will get the opportunity to practice installing these two technologies. The course exposes you to real-life Big Data technologies with the purpose of obtaining results from real datasets from Twitter. After completing the course, you will be equipped not only with fundamental Big Data knowledge, but will also be introduced to a working development environment containing Hadoop and MongoDB, installed by yourself. This practical knowledge can be used as a starting point in the organizational Big Data journey.  BIG D...