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Python for Data Science Bootcamp

Noble Desktop - Virtually Online

Uncover the power of Python for analyzing real-world data sets in this hands-on course at Noble Desktop. Explore Python fundamentals and learn how to create programs, work with data, visualize insights, and develop machine learning models. Elevate your data science skills with the Python for Data Science Bootcamp.

$1,495

5 sessions

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Data Science Certificate

Noble Desktop - Virtually Online

Gain the skills and knowledge to become a sought-after Data Scientist with hands-on training and mentoring from industry experts. Analyze data, create machine learning models, and build interactive visualizations using Python and SQL. Launch your career in data science and Python engineering positions.

$3,995

18 sessions

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Intro to Python Programming

Noble Desktop - Virtually Online

Discover the versatile and highly sought-after Python programming language in this comprehensive two-day course that will equip you with the skills needed to build software, analyze data, and create stunning websites. Join Noble Desktop as they guide you through hands-on exercises from day one, ensuring a solid foundation for future endeavors in data science or web development.

$895

2 sessions

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Python Data Science & Machine Learning Bootcamp

Noble Desktop - Virtually Online

Learn how to apply Python to analyze data, create predictive models using machine learning, and automate tasks in this comprehensive data science course. Gain the necessary programming skills to excel in entry-level data science and Python engineering positions.

$3,495

16 sessions

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Python Programmer Bootcamp

Become a proficient Python programmer and master the syntax, data types, and control constructs of Python with the Python Programmer Bootcamp at Developer Bootcamp. Learn to write efficient Python programs, work with built-in objects, communicate with databases, and create structured data using lists, tuples, sets, and dictionaries. Enhance your programming skills and gain hands-on experience in this comprehensive bootcamp.

  • Level All levels
  • Age 18 and older
  • Price $1,495
  • Location Virtual Classroom

Start Dates (0)

  • $1,495
  • Virtual Classroom
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Class Description

Description

What you'll learn in this python class:

The Python Programmer bootcamp shows how to rapidly develop and maintain effective Python programs and provides thorough coverage of Python syntax, built in data types and control constructs.

Program Highlights:
  • Write Python programs
  • Work with Python's built-in objects
  • Read and Write files
  • Communicate with database's
  • Create structured data with Lists, Tuples, Sets and Dictionaries
  • Use exceptions to gracefully handle errors
  • Test program features using Test Driven Development
  • Write applications with Graphical User Interfaces
  • Write clear and concise Regular Expressions
  • Organize code with Functions and Classes
Required Course:
  • Python Programming (28 hours)
Note: This is an on-demand class and the student can start anytime after purchase. Date posted is just a tentative start date


Python Programming

This hands on Python programming course shows how to rapidly develop and maintain effective Python programs. The course includes thorough coverage of Python syntax, built in data types and control constructs. The course takes a practical approach to creating and organizing Python programs using functions, packages, modules and classes as part of Python's object-oriented paradigm. Attendees will use regular expressions to rapidly process data captured from users and from the file system.

Attendees will learn how to use Python to create scripts that manipulate data, automate tasks, perform error handling and store and retrieve data by using relational databases. Students will be able to create Python scripts that assist with system administration.

Comprehensive hands on exercises are integrated throughout to reinforce learning and develop real competency.

Duration: 28 hours

Prerequisites: Prior scripting experience or knowledge of fundamental programming concepts.

Students Will Learn:
  • Understanding Python
  • Writing Expressions in Python
  • Working With Numbers
  • Working with Strings
  • Building Structured Data with Lists and Tuples
  • Building Structured Data with Dictionaries and Sets
  • Controlling the Flow of a Python Program
  • Creating Modular Code with Functions
  • Input / Output
  • Object-Oriented Programming with Python
  • Using Modules in Python Programs
  • Exception Handling
  • Using Regular Expressions in Python
  • Database Programming with Python
Course Overview:

Introduction to Python 3
  • Origin and Goals of Python
  • Overview of Python Features
  • Getting and Installing Python
  • Accessing Python Documentation: Python Enhancement Proposals (PEP)
  • Python's Strengths
  • Using Python with Other Programming Languages
Using Python
  • Executing Python Programs from the Command Line
  • Python Command Line Options
  • Environment Variables that Influence Python
  • Creating Python GUI Applications
    - Standalone vs. Web-Enabled Interfaces
  • The Python Standard Library
Language Fundamentals
  • Python's Lexical Analyzer
  • Using Whitespace to Structure Programs
  • Identifiers and Keywords
  • Python's Execution Model
    - Naming Objects and Binding
  • Python's Data Model
    - Immutable and Mutable Objects
    - Values
    - Types
  • Creating and Using Variables
Flow Control Constructs
  • if/elif/else Statements
  • Creating Loops with while and for
  • Understanding Iterators
  • Returning Values with return Statements
  • Loop Modification with break and continue
  • Returning Generator Iterators with the yield Statement
  • Retrieving Iterators with next()
Expressions
  • Unary and Binary Arithmetic Operations
  • Comparison and Boolean Operations
  • Conditional Expressions
  • Lambda Expressions
  • Order of Operations and Operator Evaluation
  • Expression Lists
  • Assignment Operations
Exception Handling
  • Types of Python Exceptions
  • Handling Exceptions with try/except/finally
  • Triggering Exceptions with raise
  • Defining New Exception Types
  • Implementing Exception Handling in Functions, Methods and Classes
  • Working with the Regular Expression Error Exception
Using the String Object
  • Using ASCII and Unicode Strings
  • Manipulating Strings with String Methods
  • Using the format() Function to Format Strings
  • Using Escape Sequences
  • Working with Raw Strings
Organizing Code
  • Defining Functions
  • Calling Functions
  • Creating Anonymous Functions
  • Altering Function Functionality with Decorator Functions
  • Creating Classes with the class Statement
  • Creating Objects as Class Instances
  • Using Preexisting Classes as the Basis of a New Class
  • Using Modules to Group Related Functions, Classes and Variables
  • Locating and Importing Modules
  • Using Packages to Group Modules Together
Arrays, Collections and Dictionaries
  • Sequenced Data Structures
    - Arrays
    - Collections
    - Dictionaries
  • Creating and Accessing Lists
  • Manipulating Lists
  • Creating and Accessing Tuples
  • Understanding the Differences Between Lists and Tuples
  • Using Dictionaries to Create Data Records
  • Manipulating Dictionaries Using Dictionary Methods
  • Creating Sets
  • Performing Set Operations
    - Union
    - Intersect
    - Difference
  • Differences Between Sets and Dictionaries
  • Using Generators to Return Iterators
Working with Arguments
  • Passing Arguments to Functions by Reference and by Value
  • Defining Functions with Required Arguments
  • Defining Functions with Default Arguments
  • Defining Flexible Functions that Take Variable Length Arguments
Regular Expressions
  • Regular Expression Syntax
  • Using Regular Expressions in Python
  • Altering Regular Expression Processing with Regular Expression Modifiers
  • Using Regular Expression Operators
  • Scanning Through Strings Using the search() and match() Methods
  • Creating Reusable Patterns by Using the compile() Method
Object Oriented Programming Concepts
  • The Object Oriented Programming Paradigm
  • Encapsulating Information
  • Classes vs. Instances of Objects
  • Built-in Class Attributes
  • Implementing Class Inheritance
  • Using Objects in Code
I/O Handling
  • Sending Output to STDOUT Using the print() Method
  • Reading Input with the input() Method
  • Creating File Objects with the open() Method
  • Controlling File Access Modes
  • Working with File Object Attributes
  • Closing File Objects with the close() Method
  • Reading and Writing to File Objects with read() and write()
  • Using File Processing Functions from the OS Module
Data Management
  • Embedding SQLite Databases in Applications
  • Best Practices for Data Management
  • Storing Data in Local Databases
  • Discussing and Understanding the DB API
  • Understanding and Using Common SQL Statements
  • Connecting to a SQLite Database
  • Using Cursors to interact with Data from a Database
  • Implementing Error Handling with Database Connections

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

  • Cancellations made at least 2 business days in advance of the class will be honored with a refund less 5% cancellation fee.
  • Students who cancel less than 2 business days prior to the start time of the class will receive a credit towards a future class.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.


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