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Python Programming Level 3: Data Analysis Using Python

ONLC Training Centers @ Midwest Plaza South, Oak Brook, IL

Master the art of analyzing and visualizing complex data using Python programming. Dive deep into Pandas and Seaborn libraries, and learn how to analyze time-series data and make predictions with regression models. Let your data insights drive informed decisions and unlock new opportunities.

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ONLC Training Centers @ 1320 Tower Rd, Chicago, IL

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Python Programming Level 1: Introduction for Non-Programmers

ONLC Training Centers @ Midwest Plaza South, Oak Brook, IL

Learn Python programming from scratch with this introductory course designed for non-programmers. Gain a strong foundation in Python syntax, file handling, exception handling, and data types. Discover object-oriented concepts, database connectivity, and GUI development.

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Introduction to Python 3

  • Advanced
  • 18 and older
  • $1,495
  • 1320 Tower Rd, Chicago, IL
  • 21 hours & 15 minutes over 3 sessions

Start Dates (0)

  • $1,495
  • ONLC Schaumburg @ 1320 Tower Rd 1st Fl, Chicago, IL 60173
  • 21 hours & 15 minutes over 3 sessions
  • All classes are live, hands-on training via remote instructor.
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Class Description

Description

What you'll learn in this python class:

In this live, instructor-led Python training course, students learn to program in Python. The course is aimed at students new to the language and who may, or may not, have experience with other programming languages. 

Students will learn: 

  • how Python works and its place in the world of programming languages
  • to work with and manipulate strings; to perform math operations
  • to work with Python sequences
  • to collect user input and output results
  • flow control processing; to write to, and read from, files to write functions
  • to handle exception
  • and work with dates and times. 

This Python course is taught using Python 3; however, differences between Python 2 and Python 3 are noted.

Audience

Students new to the language who have experience with other programming languages.

Prerequisites

This course is specially designed for individuals with prior programming background. Also it assumes a working knowledge of Object Oriented Programming concepts. If you have no prior programming experience or or not familiar with Object Oriented Programming, you should consider our "Python Programming - Basics for Non-Programmers" course.

Course Outline

Vital Python – Math, Strings, Conditionals, and Loops

  • Vital Python
  • Numbers: Operations, Types, and Variables
  • To Open a Jupyter Notebook
  • Python as a Calculator
  • Standard Math Operations
  • Basic Math Operations
  • Order of Operations
  • Spacing in Python
  • Number Types: Integers and Floats
  • Complex Number Types
  • Errors in Python

Variables

  • Variable Assignment
  • Changing Types
  • Reassigning Variables in Terms of Themselves
  • Variable Names
  • Multiple Variables
  • Comments
  • Docstrings
  • Theorem in Python

Strings: Concatenation, Methods, and input()

  • String Syntax
  • Escape Sequences with Quotes
  • Multi-Line Strings
  • The print() Function
  • String Operations and Concatenation
  • String Interpolation
  • Comma Separators
  • Format
  • The len() Function
  • String Methods
  • Casting
  • The input() Function
  • String Indexing and Slicing
  • Indexing
  • Slicing
Strings and Their Methods

  • Booleans and Conditionals
  • Booleans
  • Logical Operators
  • Comparison Operators
  • Comparing Strings
  • Conditionals
  • The if Syntax
  • Indentation
  • if else
  • The elif Statement
  • Loops
  • The while Loops
  • An Infinite Loop
  • break
  • Programs
  • The for Loop
  • The continue Keyword

Python Structures

  • The Power of Lists
  • List Methods
  • Accessing an Item from a List
  • Adding an Item to a List
  • Dictionary Keys and Values
  • a List and a Dictionary
  • Zipping and Unzipping Dictionaries Using zip()
  • Dictionary Methods
  • Tuples
  • A Survey of Sets
  • Set Operations
  • Choosing Types

Executing Python – Programs

  • Algorithms, and Functions
  • Introduction
  • Python Scripts and Modules
  • Shebangs in Ubuntu
  • Docstrings
  • Imports
  • The if __name__ == "__main__" Statement
  • Basic Functions
  • Positional Arguments
  • Keyword Arguments
  • Iterative Functions
  • Exiting Early
  • Activity 10: The Fibonacci Function with an Iteration
  • Helper Functions
  • Don't Repeat Yourself
  • Variable Scope
  • Variables
  • Defining inside versus outside a Function
  • The Global Keyword
  • The Nonlocal Keyword
  • Lambda Functions
  • Mapping with Lambda Functions
  • Filtering with Lambda Functions
  • Sorting with Lambda Functions

Extending Python, Files, Errors, and Graphs

  • Reading Files
  • Writing Files
  • the Date and Time in a Text File

Refund Policy

Cancellation / Reschedule by Student

Because we must schedule rooms, ship course materials, assign instructors and provision computer resources well in advance, it is important students alert us ASAP with any cancel/reschedule requests.

Please note the following policies:

  • If requested 16 or more calendar days before the class
    • Cancellation requests made in this timeframe are eligible for refund less 5% cancellation fee.
    • Reschedule requests made in this timeframe will be accommodated if availability exists and will be processed at no additional charge.
  • If requested 15 calendar days or less before the class
    • Cancellation or Reschedule requests made by the student 15 calendar days or less before the class starts will be charged 100% the course fee and are not entitled to a refund.

Substitutions

  • If you are unable to attend your class, a substitute who meets the course prerequisites may attend in your place at no additional charge for the original class title, date and location. If you cannot find a substitute, you will be subject to the class cancellation policy.

Make-up Policy

Students are permitted one (1) Make-Up opportunity to attend an instructor-led class that was paid for but not previously attended for no additional charge.

  • Make-Up class registrations are subject to availability and are not entitled to refund.
  • Students may not reschedule a Make-up class registration.
  • Any no shows or cancellations forfeit their one Make-up opportunity.

Additionally, ONLC reserves the right to retire courses due to lack of demand. Retired classes are not available for Make-Up.

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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ONLC Training Centers

ONLC Training Centers was founded in 1983 when Jim Palic and Andy Williamson left their positions as mainframe programmers with the Dupont Company to start one of the industry's first computer training companies.

Over thirty years and still growing, ONLC Training Centers is one of the the largest privately...

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