Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions. Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts and data scientists or anyone else who wants to wrestle all that raw data into refined trends and predictions. This is a class that will teach you the end-to-end process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.

This course provides a step-by-step overview and instructions that help you get started with the SQL language. We use MSSQL, but you can use this course to get started with understanding data structures and techniques for all SQL engines including Access, Oracle and MySQL. We show you how to create SQL statements including SELECT, DELETE, UPDATE and INSERT. Then, we show you how to create and design tables. We show you how to create stored procedures, which allow you to run the same SQL statement multiple times without reprogramming your database. Finally, we show you how to use cursors, use transactions to preserve data integrity, and creating views for larger data sets.

Learning computer programming for university students in all levels. Could be very basic or for advanced courses. Suitable for reinforcement for university courses of: Java. Object Oriented, Data Structure, Advanced Java, Software Engineering, Database, Web Development.. etc. Can be given in: Java, C, C#, Javascript Course Outline: Section 1 - Getting Started Java Basics Data Types Arrays and References Operators and Constructs Java Objects Dynamic Memory Allocation Java Methods Java Strings Section 2 - Cla1sses and Objects Class Design Fields and Access Control Constructors Method Overloading Static Methods Inheritance Method Overriding Using final and super Abstract Classes and Methods Dynamic Binding Polymorphism Section 3 - Working with Classes Using instanceof Interfaces Exception Handling Exception Objects throw points, throws clause try, catch, finally Section 4 - User Interfaces Window Applications Layout Managers Event Handlers and Listeners Anonymous Classes and Lambdas Java Swing APIs Basic GUI Controls Menus and MenuBars Section 5 - Generics and Collections Why Use Generics? Generic Classes and Interfaces Generic Iterators Collections ArrayList, LinkedList, HashMap Section 6 - Threads Thread States Extending the Thread class Timer Thread Implementing the Runnable interface Section 7 - File I/O Input and Output Streams Binary and Text Files Files and Directory Methods