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Oracle SQL and PL/SQL + Python Developer + Java Programmer

This course teaches you how to use SQL to build applications and generate business reports, master SQL using an Oracle database, and learn PL/SQL extension language to write sophisticated queries against an Oracle database. You will also learn to write useful Java classes, applying Object-Oriented concepts such as inheritance, and create Java programs that work with these classes. You then start learning the basics of programming in Python. The introductory section teaches you how Python works and what it’s good for. You will also gain an understanding of Python’s place in the wider programming world.

The course gets you coding quickly after starting the course. You then move on to advanced methods in which you’ll learn how to work with iPhone Notebook, the Collections Module, regular expressions, databases, CSV files, JSON, and XML. Also in this section, you will learn advanced sorting, how to write object-oriented code in Python, and how to test and debug their Python code. In the last section, you get a rapid introduction to NumPy, pandas, and matplotlib, which are Python libraries. This course prepares you for entry into the job market as a Java or Python programmer or an entry-level Oracle SQL Developer or to take on more responsibility using new skills gained in a current job. This course is entirely online and is completed at your own pace. When you register, you receive twelve (12) months to complete this course.

12 Months / 375 Course Hrs
Open enrollment

Offered in Partnership with your Preferred School

Lehigh Carbon Community College

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Learning Method


Self-Paced. Study on your own schedule

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Oracle SQL and PL/SQL + Python Developer + Java Programmer

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Details + Objectives

Course Code: GES341

What You Will Learn
  • Learn SQL to build applications or generate business reports
  • Master SQL using an Oracle database
  • Learn PL/SQL extension language to write sophisticated queries against an Oracle database
  • Understand most Java syntax elements, concentrating on fundamental and universally useful elements, while providing an overview of many more advanced elements
How the course is taught
  • Self-paced, online course
  • 12 months to complete
  • Open enrollment, begin anytime
  • 375 course hours
How you will benefit
  • Prepare yourself for entry into the job market as a Java or Python programmer, or an entry-level Oracle SQL Developer
  • Become a master of Oracle SQL development with Java and Python programming and list your skills on your resume
  • Advance your programming skills regardless if you’re new to the industry or a seasoned programmer


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Introduction to SQL

Explore the fundamentals of SQL including relational database basics, simple SELECTs, advanced SELECTs, and subqueries, joins and unions.

Advanced Oracle SQL Queries

Learn about advanced Oracle SQL queries, including users and schemas, pseudo columns and functions, using subqueries, joining tables, rollup and cube, and using set operators. You’ll also cover conditional processing, SQL functions, and SQL data manipulation language.

Oracle PL/SQL Training

Understand the environment for PL/SQL development. Learn PL/SQL basics and how to declare variables. Continue learning about best techniques for programming within the block, how to handle exceptions, and how to best use SQL in PL/SQL.


Receive an introduction to using Java, covering the basics and Java objects. You’ll learn how to write a Java program and how to create a class. Additionally, you’ll master arrays, inheritance, interfaces, exceptions, and inner classes.

Introduction to Python

Understand the basics of Python and how it pertains to functions, modules, and math. Learn about Python strings, iterables, flow control, and file processing.

Advanced Python

Move on to mastering advanced Python concepts like how to work within an IPython notebook. In this final section of the course you’ll learn about regular expressions, how to work with data, classes and objects, testing and debugging, and Unicode and encoding.


Introduction to SQL
    I.    Relational Database Basics
            A.    Brief History of SQL
            B.    Relational Databases
            C.    Popular Databases
            D.    SQL Statements
    II.    Simple SELECTs
            A.    Introduction to the Northwind Database
            B.    Some Basics
            C.    SELECTing All Columns in All Rows
            D.    Exploring the Tables
            E.    SELECTing Specific Columns
            F.    Sorting Records
            G.    The WHERE Clause and Operator Symbols
            H.    Using the WHERE clause to check for equality or inequality
            I.    Using the WHERE clause to check for greater or less than
            J.    Checking for NULL
            K.    Using WHERE and ORDER BY Together
            L.    The WHERE Clause and Operator Words
            M.    More SELECTs with WHERE
            N.    Checking Multiple Conditions
            O.    Writing SELECTs with Multiple Conditions
    III.    Advanced SELECTs
            A.    Calculated Fields
            B.    Calculating Fields
            C.    Aggregate Functions and Grouping
            D.    Working with Aggregate Functions
            E.    Built-in Data Manipulation Functions
            F.    Data Manipulation Functions
    IV.    Subqueries, Joins and Unions
            A.    Subqueries
            B.    Joins
            C.    Using Joins
            D.    Outer Joins
            E.    Unions
            F.    Working with Unions
    V.    Introduction to SQL Exam

Advanced Oracle SQL Queries
    I.    Users and Schemas
            A.    Introduction to Users and Schemas
            B.    About the HR Schema
            C.    Creating An Application Schema
            D.    Exercise: Create a User
    II.    Pseudo Columns & Functions
            A.    Using The Dual Table
            B.    Functions
            C.    Exercise: Use the SYSCONTEXT function
            D.    Pseudo-Columns
            E.    Using Rowid
            F.    Using Rownum
            G.    Exercise: Use ROWNUM
    III.    Using Subqueries
            A.    Simple Subqueries
            B.    Inline Views
            C.    Correlated Subqueries
            D.    Scalar Subquery
            E.    Exercise: Subquerie
    IV.    Joining Tables
            A.    Review of Joins
            B.    Equijoins
            C.    Cross Joins
            D.    Reflexive Join
            E.    Non-Key Join
            F.    Natural Joins
            G.    Semijoins and Antijoins
            H.    Using Named Subqueries
            I.    Exercise: Join Exercises
    V.    Rollup & Cube
            A.    About Group Processing
            B.    EMP_DETAILS_VIEW
            C.    Simple GROUP BY
            D.    ROLLUP Function
            E.    GROUPING Function
            F.    Using Cube
            G.    Exercise: Practice GROUP BY, ROLLUP and CUBE
    VI.    Using Set Operators
            A.    Set Operators Defined
            B.    Relationship to Mathematical Set Theory
            C.    Restrictions on Set Operators
            D.    Exercise: Set Operators Exercise
    VII.    Conditional Processing
            A.    The DECODE Function
            B.    The Case Expression
            C.    Exercise: Conditional Processing
    VIII.    SQL Functions (Character)
            A.    What Are SQL Functions?
            B.    Character Functions
            C.    Regular Expressions
            D.    Exercise: Character Functions
    IX.    SQL Functions (Non-Character)
            A.    Numeric Functions
            B.    Date/Time Functions
            C.    Date Format Functions
            D.    Date Arithmetic Functions
            E.    Null Value Functions
            F.    Exercise: SQL Non-Character Functions
    X.    SQL Data Manipulation Language
            A.    The INSERT Statement
            B.    The UPDATE Statement
            C.    The DELETE Statement
            D.    Transactions
            E.    Complex Table References
            F.    The MERGE statement
            G.    Exercise: Data Manipulation Language (DDL)
    XI.    Advanced Oracle SQL Queries Exam

Oracle PL/SQL Training
    I.    The Environment for PL/SQL Development
            A.    Prerequisites
            B.    Connecting to Oracle
            C.    Executing PL/SQL Code
            D.    SQL Developer Configuration
            E.    The PL/SQL Development Cycle
    II.    PL/SQL Basics
            A.    PL/SQL Block
            B.    Anonymous Block Structure
            C.    Named Block Structure
            D.    Executing Blocks
            E.    Calling PL/SQL Functions
            F.    Executing PL/SQL Blocks and Functions
    III.    Declaring Variables
            A.    Variable Usage
            B.    Variable Data Types
            C.    Variable Naming
            D.    Variable Assignment
            E.    Complex Variable Types
            F.    More Information
            G.    Variable Declaration, Initialization and Display
    IV.    Within the Block
            A.    Conditional Processing
            B.    Iterative Processing
            C.    Salary Classification using Conditional Statements
            D.    Salary Increases using Loops
    V.    Handling Exceptions
            A.    Overview of Exceptions
            B.    Causing System Generated Exceptions
            C.    Handling System Generated Exceptions
            D.    Identifying System Generated Exceptions
            E.    OTHERS Exception Handler
            F.    User Defined Exceptions
            G.    Exception Handling for Invalid Salary
    VI.    Use of SQL in PL/SQL
            A.    Implicit Cursors
            B.    %TYPE and %ROWTYPE Attributes
            C.    EXECUTE IMMEDIATE statement
            D.    Cursors Attributes
            E.    Implicit Cursor
            F.    Explicit Cursors
            G.    Explicit Cursor
            H.    Cursor FOR loop
    VII.    Nested Blocks
            A.    Nesting Blocks
            B.    Scope of Variables
            C.    Scope of Exceptions
            D.    Nested Subprograms
            E.    Exception Propagation in Nested Blocks
            F.    Block Variable Visibility
    VIII.    Introducing Subprograms
            A.    Anonymous blocks
            B.    Types of Subprograms
            C.    Finding Subprograms through SQL Developer
            D.    Finding Subprograms in the Oracle Data Dictionary
            E.    Object Dependencies
            F.    Subprogram information in the Oracle Data Dictionary
    IX.    Stored Procedures and Functions
            A.    Creating Subprograms
            B.    Modifying Subprograms
            C.    Removing Subprograms
            D.    Application Maintenance
            E.    Exercise Title
            F.    Parameters
            G.    Cursors as Parameters
            H.    Subprogram Development Techniques
            I.    Addressing Compilation Errors
            J.    Directives for Debugging
            K.    Issues with Booleans
            L.    Integrated Development Environments
            M.    PL/SQL Subprograms with Parameters
    X.    Packages
            A.    Structure of Packages
            B.    Purpose of Packages
            C.    Wrap Utility
            D.    Positional vs Named Parameter Notation
            E.    Subprograms Omitted from Specifications
            F.    Using PL/SQL Packages
    XI.    Database Triggers
            A.    Purpose of Triggers
            B.    Invocation of Triggers
            C.    Coding Triggers
            D.    Validation Trigger
            E.    Modifying Triggers
            F.    Viewing Triggers
            G.    Enabling/Disabling Triggers
            H.    Trigger Errors
            I.    System and User Event Triggers
            J.    Logon Counter Trigger
    XII.    Data Retrieval Techniques
            A.    Cursor Review
            B.    Cursor Parameters
            C.    Cursor Variables
            D.    Dynamic SQL
            E.    Employee Report by State/Province
    XIII.    Using Oracle Supplied Packages
            A.    Oracle Supplied Packages
            B.    Identifying Available Packages
            C.    Identifying Package Subprograms
            D.    Selected Oracle Supplied Package Demos
            E.    Packages related to Input/Output
            F.    Packages related to Networking
            G.    DBMS_SQL: Dynamic SQL
            H.    DBMS_URL: Working with URLS
            I.    The DBMS_APPLICATION_INFO
    XIV.    Specialized Topics
            A.    Application Partitioning
            B.    Subprograms in other Languages
            C.    Oracle Object Features
            D.    Statistical Analysis
            E.    Data Mining
            F.    Use Oracle Object Features
    XV.    Oracle PL/SQL Training Exam
    XVI.    Final Exam
    XVII.    Oracle SQL Developer Final Project

    I.    Java Introduction
            A.    Conventions in These Notes
            B.    The Java Environment - Overview
            C.    Writing a Java Program
            D.    Obtaining The Java Environment
            E.    Setting up your Java Environment
            F.    Creating a Class That Can Run as a Program
            G.    Useful Stuff Necessary to go Further
            H.    Using the Java Documentation
    II.    Java Basics
            A.    Basic Java Syntax
            B.    Data
            C.    Mathematics in Java
            D.    Creating and Using Methods
    III.    Java Objects
            A.    Objects
            B.    String, StringBuffer, and StringBuilder
            C.    Creating Documentation Comments and Using javadoc
    IV.    Mid-term exam
    V.    Comparisons And Flow Control Structures
            A.    Controlling Program Flow
            B.    Additional Loop Control: break and continue
            C.    Classpath, Code Libraries, and Jar files
    VI.    Arrays
            A.    Arrays
            B.    Enhanced for Loops - the For-Each Loop
            C.    Multi-Dimensional Arrays
            D.    Typecasting with Arrays of Primitives
    VII.    Inheritance
            A.    Inheritance
            B.    Polymorphism
            C.    Creating a Derived Class
            D.    Example - Factoring Person Out of Employee and Dependent
            E.    Typecasting with Object References
            F.    Other Inheritance-Related Keywords
            G.    Methods Inherited from Object
    VIII.    Interfaces
            A.    Interfaces
            B.    Creating an Interface Definition
            C.    Implementing Interfaces
            D.    Reference Variables and Interfaces
            E.    Interfaces and Inheritance
            F.    Some Uses for Interfaces
    IX.    Exceptions
            A.    Exceptions
            B.    Attempting Risky Code - try and catch
            C.    Guaranteeing Execution of Code - the finally Block
            D.    Letting an Exception be Thrown to the Method Caller
            E.    Throwing an Exception
            F.    Exceptions and Inheritance
            G.    Creating and Using Your Own Exception Classes
            H.    Rethrowing Exceptions
            I.    Initializer Blocks
    X.    Generics and Collections
            A.    Fundamental Collections: Sets, Lists, and Maps
            B.    Iterators
            C.    Creating Collectible Classes
            D.    Generics
    XI.    Inner Classes
            A.    Inner Classes, aka Nested Classes
    XII.    Final Exam
    XIII.    Project: Hotel Reservations Case Study

Introduction to Python
    I.    Python Basics
            A.    Running Python
            B.    Hello, World!
            C.    Literals
            D.    Python Comments
            E.    Data Types
            F.    Variables
            G.    Writing a Python Module
            H.    print() Function
            I.    Named Arguments
            J.    Collecting User Input
            K.    Getting Help
II.    Functions and Modules
            A.    Defining Functions
            B.    Variable Scope
            C.    Global Variables
            D.    Function Parameters
            E.    Returning Values
            F.    Importing Modules
    III.    Math
            A.    Arithmetic Operators
            B.    Modulus and Floor Division
            C.    Assignment Operators
i)    Order of Operations
            D.    Built-in Math Functions
            E.    The math Module
            F.    The random Module
            G.    Seeding
    IV.    Python Strings
            A.    Quotation Marks and Special Characters
            B.    String Indexing
            C.    Slicing Strings
            D.    Concatenation and Repetition
            E.    Common String Methods
            F.    String Formatting
            G.    Built-in String Functions
    V.    Iterables: Sequences, Dictionaries, and Sets
            A.    Definitions
            B.    Sequences
            C.    Unpacking Sequences
            D.    Dictionaries
            E.    The len() Function
            F.    Sets
            G.    *args and **kwargs
    VI.    Flow Control
            A.    Conditional Statements
            B.    The is and is not Operators
            C.    Python's Ternary Operator
            D.    Loops in Python
            E.    The enumerate() Function
            F.    Generators
            G.    List Comprehensions
    VII.    File Processing
            A.    Opening Files
            B.    The os and os.path Modules
    VIII.    Exception Handling
            A.    Wildcard except Clauses
            B.    Getting Information on Exceptions
            C.    The else Clause
            D.    The finally Clause
            E.    Using Exceptions for Flow Control
            F.    Exception Hierarchy
    IX.    Dates and Times
            A.    Understanding Time
            B.    The time Module
            C.    The datetime Module
    X.    Running Python Scripts from the Command Line
            A.    sys.argv
    XI.    Introduction to Python Final Exam

Advanced Python
    I.    IPython Notebook
            A.    Getting Started with IPython Notebook
            B.    Creating Your First IPython Notebook
            C.    IPython Notebook Modes
            D.    Useful Shortcut Keys
            E.    Markdown
            F.    Magic Commands
            G.    Getting Help
    II.    Advanced Python Concepts
            A.    Advanced List Comprehensions
            B.    Collections Module
            C.    Mapping and Filtering
            D.    Lambda Functions
            E.    Advanced Sorting
            F.    Unpacking Sequences in Function Calls
            G.    Modules and Packages
    III.    Regular Expressions
            A.    Regular Expression Syntax
            B.    Python's Handling of Regular Expressions
    IV.    Working with Data
            A.    Databases
            B.    CSV
            C.    Getting Data from the Web
            D.    HTML
            E.    XML
            F.    JSON
    V.    Classes and Objects
            A.    Creating Classes
            B.    Attributes, Methods and Properties
            C.    Extending Classes
            D.    Documenting Classes
            E.    Static, Class, Abstract Methods
            F.    Decorators
    VI.    Testing and Debugging
            A.    Creating Simulations
            B.    Testing for Performance
            C.    The unittest Module
    VII.    Unicode and Encoding
            A.    Encoding and Decoding Files in Python
            B.    Converting a File from cp1252 to UTF-8
    VIII.    Advanced Python Final Exam

Python Data Analysis with NumPy and pandas
    I.    NumPy
            A.    One-dimensional Arrays
            B.    Multi-dimensional Arrays
            C.    Getting Basic Information about an Array
            D.    NumPy Arrays Compared to Python Lists
            E.    Universal Functions
            F.    Modifying Parts of an Array
            G.    Adding a Row Vector to All Rows
            H.    Random Sampling
    II.    Pandas
            A.    Series and DataFrames
            B.    Accessing Elements from a Series
            C.    Series Alignment
            D.    Comparing One Series with Another
            E.    Element-wise Operations
            F.    Creating a DataFrame from NumPy Array
            G.    Creating a DataFrame from Series
            H.    Creating a DataFrame from a CSVl
            I.    Getting Columns and Rows
            J.    Cleaning Data
            K.    Combining Row and Column Selection
            L.    Scalar Data: at[] and iat[]
            M.    Boolean Selection
            N.    Plotting with matplotlib
    III.    Python Data Analysis with NumPy and pandas Final Exam
Python Programmer Final Exam
Python Programmer Final Project

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Instructors & Support

Nat Dunn

Nat Dunn founded Webucator in 2003 to combine his passion for technical training with his business expertise and to help companies benefit from both. His previous experience was in sales, business and technical training, and management. Nat has an MBA from Harvard Business School and a BA in International Relations from Pomona College.



Prerequisites: There are no prerequisites for this course; however, some prior programming language knowledge is helpful.


Hardware Requirements:

  • This course must be taken on a PC. A Mac device is not compatible.
  • Dual monitors are helpful but not required.

Software Requirements:

  • PC: Windows 7 or later.
  • Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge is also compatible.
  • Oracle Database Express Edition (XE) 12c or 18c - Free edition of Oracle RDBMS (download and installation instructions are provided in course).
  • Oracle SQL Developer - The client interface for connecting to Oracle (download and installation instructions are provided in course).
  • Anaconda (download and installation instructions are provided in course).
  • Java (download and installation instructions are provided in course).
  • Visual Studio Code (download and installation instructions are provided in course).
  • Adobe Flash Player. Click here to download the Flash Player.
  • Adobe Acrobat Reader. Click here to download the Acrobat Reader.

Other: Email capabilities and access to a personal email account

Instructional Materials

The instructional materials required for this course are included in enrollment and will be available online.



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Can I register for a course if I am an international student?

Yes, ed2go courses are completely online. However, keep in mind that not all certifying bodies or industry-specific certifications are recognized internationally. Please review your country’s regulations prior to enrolling in courses that prepare for certification.

Does this course prepare for a certification?

This course does not prepare you for a certification but prepares you to enter the job market as an entry-level Python programmer or will enhance your programming skills.

When can I start the course?

This course is open enrollment, so you can register and start the course as soon as you are ready. Access to your course can take 24-48 business hours.

How long does it take to complete this course?

This course is self-paced and open enrollment, so you can start when you want and finish at your own pace. When you register, you'll receive six (6) months to complete the course.

What if I don't have enough time to complete my course within the time frame provided?

The time allotted for course completion has been calculated based on the number of course hours. However, if you are unable to complete the course, contact your Student Advisor to help you work out a suitable completion date. Please note that an extension fee may be charged.

What kind of support will I receive?

You may be assigned with an instructor or team of industry experts for one-on-one course interaction. Your support will be available (via e-mail) to answer any questions you may have and to provide feedback on your performance. All of our instructors are successful working professionals in the fields in which they teach. You will be assigned to an Advisor for academic support.

What happens when I complete the course?

Upon successful completion of the course, you will be awarded a Certificate of Completion.

Am I guaranteed a job?

This course will provide you with the skills you need to obtain an entry-level position in most cases. Potential students should always do research on the job market in their area before registering.

Can I get financial assistance?

ed2go courses are non-credit, so they do not qualify for federal aid, FAFSA and Pell Grant. In some states, vocational rehab or workforce development boards will pay for qualified students to take our courses. Additionally, some students may qualify for financial assistance when they enroll, if they meet certain requirements. Financing is available from select schools. Learn more:

How can I get more information about this course?

If you have questions that are not answered on our website, representatives are available via LIVE chat. You can also call us at 1-877-221-5151 during regular business hours to have your questions promptly answered. If you are visiting us during non-business hours, please send us a question using the “Contact Us” form.

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