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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.

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Intro to Python Programming

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Python Data Science & Machine Learning Bootcamp

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Python for Automation

Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online

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Introduction to Python Training

Interested in building feature-rich applications and developing apps in Python? Join our course at Learning Tree International and learn how to leverage Python's built-in statements, functions, modules, and packages to rapidly create powerful applications. Gain the skills to manipulate data, structure code, and interface with databases, all with the support of our experienced instructors and one-on-one coaching.

  • Beginner
  • 18 and older
  • $2,350
  • 1601 Broadway, New York, NY
  • 22 hours & 30 minutes over 3 sessions

Start Dates (0)

  • $2,350
  • New York Education Center @ 1601 Broadway 6th Fl, New York, NY 10019
  • 22 hours & 30 minutes over 3 sessions
  • Course 1905
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Class Description

Description

What you'll learn in this python class:

Interested in learning how to write code and develop apps in Python?

In this Introduction to Python course, you will learn how to use Python’s features, standard library modules, and third-party software packages.

Introduction to Python Training Course Benefits:

  • Learn how to rapidly develop feature-rich applications using Python's built-in statements, functions, and collection types
  • Structure code with classes, modules, and packages that leverage object-oriented features
  • Create multiple data accessors to manage various data storage formats
  • Access additional features with library modules and packages
  • Test your knowledge with the included end-of-course exam
  • Leverage continued support with after-course one-on-one instructor coaching and computing sandbox

Course Outline

Module 1: Introduction to Python

In this module, you learn about:

  • Python language characteristics
  • The Python execution model

Module 2: Leveraging Python Built-in Types

In this module, you learn about:

  • Manipulating string and numeric literals
  • Declaring and initializing variables
  • Performing arithmetic calculations
  • Making decisions and performing iterations
  • Formatting and slicing strings
  • Aggregating related data
  • Accessing positional information in lists Representing ordered data with tuples
  • Efficiently handling data collection with iterators

Module 3: Organizing and Structuring Code

In this module, you learn about:

  • Defining positional, keyword, and default arguments
  • Implementing variable-length argument lists
  • Iterating with generator functions
  • Grouping code into modules
  • Referencing functions from modules by qualification
  • Accessing the Standard Library

Module 4: Implementing Classes and Objects

In this module, you learn about: 

  • Declaring and modifying objects
  • Encapsulating attributes and methods in classes
  • Initializing objects with constructors
  • Accessing and modifying attributes with methods
  • Reusing functionality through inheritance
  • Extending methods from base classes
  • Overriding methods for dynamic behavior
  • Tracing the scope in the namespace

Module 5: Manipulating the File System

In this module, you learn about:

  • Reading and writing text and files
  • Accessing structured and unstructured data
  • Increasing program robustness through handling exceptions
  • Maintaining program control with error handlers
  • Detecting errors and raising exceptions

Module 6: Interfacing with Relational Databases

In this module, you learn about:

  • Creating a SQL database connection
  • Instantiating cursors to access a database
  • Executing SQL statements within a Python program
  • Retrieving desired data sets
  • Updating the database with action statements
  • Processing requests with Python controllers

Refund Policy

If a customer would like to cancel or transfer their course, they must notify Coursehorse prior to 3 weeks before the start date of the course or within seven days of registration. On-Demand Courses cannot be cancelled once purchased and are not eligible for refund.

  • If a customer transfers to another course prior to 3 weeks before the start date or within seven days of registration of the course in which originally enrolled, 100% of any prepaid course tuition will be applied toward the course tuition for the subsequent course.
  • If a customer needs to cancel an enrollment 3 weeks prior to the start of the class or within seven days of registration, we will refund 95% of any prepaid course tuition for that enrollment.
  • If a customer does need to transfer or cancel a course within 3 weeks of the start date of the course or after seven days from the date of registration, a fee equal to 50% of the price of the course will be assessed for any standard attendances.

Attendances associated with a Learning Tree program will be assessed a $500 fee. Training Passports, Training Vouchers and Pay-As-You-Learn Vouchers cannot be used after their expiration dates, and a course cancellation or transfer by the customer will not extend a Training Passport, Training Voucher Pack or Pay-As-You-Learn Voucher Pack expiration date.

In the event that an instructor or the school needs to cancel at the last minute, students will receive a refund less a 5% non-refundable registration fee.

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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Learning Tree International

Established in 1974, Learning Tree International is a leading provider of IT training and management training to business and government organizations worldwide. In addition, Learning Tree provides IT Workforce Optimization Solutions – a modern approach that improves the adoption of skills, and accelerates...

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Learning Tree International

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