Introduction to Data Analysis sets a foundation for those interested in pursuing more advanced topics in data analysis.

Becoming a data analyst requires proficiency in several areas:

• Data wrangling
• Programming
• Statistical methods
• Machine learning
• Data visualization

There is truly a vast amount of open data available to anyone who knows where to find it, but data is often found in a form that does not lend itself to analysis.

Data wrangling is the use of tools and techniques to transform unstructured data into structured data from which descriptive, predictive, and prescriptive analytics can be derived. Business leaders depend on high-quality, real-time analytics to make informed business decisions. This "business intelligence" enables a company to differentiate itself from its competition, but high-quality, real-time analytics is the end game. One has to walk before they can run. Data analysts often point out that roughly 70% of their work involves data wrangling.

This course sets you on a successful path in data analysis by building a solid foundation. A course will follow that introduces learners to machine learning via Microsoft Azure Machine Learning Studio.

Recommended preparation: Algebra and basic statistics. No programming experience is required - the necessary R programming will be learned in the context of working with data sets.

Databases, organized repositories of information, have become indispensable in today's world. In this introductory course you will learn about relational databases and the basics of Structured Query Language (SQL) including sorting; grouping result sets; using DDL, DML, DCL, and TCL. All SQL statements will initially be written for one table. Most practical, modern and relational databases will include a large number of tables and SQL queries have to access information from several tables. This course will introduce you to querying more than one table. With this skill you will be able to query two or more tables in a database.

This is a hands-on course which will take you from installing SQL Server 2016 to learning the ins and outs of SQL Server Management Studio and of course a full dose of SQL. The course covers most of the requirements to take Microsoft's certification (98-364), the Microsoft Technology Associate. During each meeting, you will be assessed for your knowledge, competency and proficiency in SQL.

This course is an introduction to SQL. It teaches you how to query or update data in a relational database management system (RDBMS). In this class, you learn the concepts of relational databases and the powerful SQL programming language, all in a practical and hands-on environment. Learn to:

• Run complex queries to retrieve data from multiple tables

• Run data manipulation language (DML) statements to update data in a database

• Run data definition language (DDL) statements to create and manage schema objects

• Identify the major components of Oracle Database and MySQL database

• Retrieve row and column data from tables with the SELECT statement

• Create reports of sorted and restricted data

• Employ SQL functions to generate and retrieve customized data

Benefits to you: This course provides the essential SQL skills that allow developers to write queries against single and multiple tables, manipulate data in tables, and create database objects. You can use SQL Developer to access an Oracle database or MySQL Workbench to access a MySQL database. You can also experience using SQL*Plus to access an Oracle database or MySQL command-line client to access a MySQL database. You will see SQL statements that are identical in both Oracle database and MySQL database, and also see the variations in output or syntax between the databases in some statements.

The Oracle Database: SQL Workshop II Ed 2 course will help you enhance your skills as Application developers by learning to manage the database objects, data dictionary views and multicolumn subqueries. You also learn to write more efficient queries using the functions supporting the timezone and regular expressions.

Learn to:

• Grant and revoke privileges and roles

• Manage schema objects and data dictionary views

• Write efficient and complex subqueries

• Use the in-built functions supporting the usage of regular expressions and time zone

Benefits to you:

This course is designed for application developers with basic SQL language skills. You learn how to use the advanced features of SQL in order to query and manipulate data within the database. You will also learn how to control privileges at the object and system level. Advanced querying and reporting techniques are explained. You will learn to use the regular expression support in SQL. You benefit by using Oracle SQL Developer as the main environment tool for writing SQL. SQL*Plus is introduced as an optional tool. Demonstrations and hands-on practice reinforce the concepts.

Structured Query Language (SQL) is the standard for Relational Database systems. A person with these skills can provide insights for enterprises with this skill. 

Build your foundation with this first course by learning the basics of SQL language. In this course, you will review the various methods for communicating with databases, read and write SQL commands, and learn the different ways to use SQL and its functionalities for data manipulation. This course will cover the two major components of SQL: Data Definition Language (DDL) to support the definition of database structure and establish control over access to data, and Data Manipulation Language (DML) to support retrieving and updates of data. 

This is a good course for beginners wanting to understand basic concepts of SQL languages. It can also be a starting point for people interested in data science, database management, solution architecture, or application development interfacing with datasets or databases. 

Recommended prep: Previous experience with programming, basic understanding of database functionality, ability to install a MySQL database