Logo
Post
Image
Leslie Alexander Sr. Instructor
Category :

Microsoft Advanced Excel

20 Reviews:

Overview

XL Technologies is a company specializing in corporate training for Advanced Microsoft Excel and Microsoft Office Professional. Our team comprises skilled trainers with over five years of experience in corporate training. Our tailored training program is designed to elevate your abilities in creating accurate and efficient reports through the utilization of intricate formulas, charts, and graphs. This course will significantly enhance your productivity and contribute to your professional distinction.

Benefits of the Course

Learning Python programming offers a wide range of benefits due to its versatility and widespread use in various domains. Here are some key advantages of taking a Python programming course.

  • Versatility :- Python is suitable for web development, data science, AI, automation, and more.
  • Ease of Learning :- Simple syntax makes Python beginner-friendly.
  • Job Opportunities :- High demand in diverse industries, enhancing employment prospects.
  • Data Science and ML :- Widely used in data science and machine learning.
  • Web Development :- Frameworks like Django and Flask simplify web development.
  • Automation :- Ideal for scripting and automating tasks.
  • Community Support :- Active community provides resources and assistance.
  • Open Source :- Free and open-source, fostering a large developer community.
  • Cross-Platform Compatibility :- Code runs on different operating systems with minimal modification.

What you'll learn

  • GUI
  • MULTITHREADING
  • CLASSES AND OBJECTS
  • EXCEPTIONS
  • DATABASE ACCESS

Topics for this Course

  • icon 22 Module
  • icon 65 Live class
  • icon 187 Assignment
  • icon 22 Test Project

  • icon Lecture 1.1 History of Python
  • icon Lecture 1.2 Python Features

  • icon Lecture 1.1 Local Environment Setup
  • icon Lecture 1.2 Getting Python
  • icon Lecture 1.3 Setting up PATH
  • icon Lecture 1.4 Setting path at Unix/Linux
  • icon Lecture 1.5 Setting path at Windows
  • icon Lecture 1.6 Python Environment Variables
  • icon Lecture 1.7 Running Python

  • icon Lecture 1.1 First Python Program
  • icon Lecture 1.2 Python Identifiers
  • icon Lecture 1.3 Python Keywords
  • icon Lecture 1.4 Lines and Indentation
  • icon Lecture 1.5 Multi-Line Statements
  • icon Lecture 1.6 Quotation in Python
  • icon Lecture 1.7 Comments in Python
  • icon Lecture 1.8 Using Blank Lines
  • icon Lecture 1.9 Waiting for the User
  • icon Lecture 1.10 Multiple Statements on a Single Line
  • icon Lecture 1.11 Multiple Statement Groups as Suites
  • icon Lecture 1.12 Command Line Arguments
  • icon Lecture 1.13 Accessing Command-Line Arguments
  • icon Lecture 1.14 Parsing Command-Line Arguments
  • icon Lecture 1.15 getopt.getopt method
  • icon Lecture 1.16 Exception getopt.GetoptError

  • icon Lecture 1.1 Assigning Values to Variables
  • icon Lecture 1.2 Multiple Assignment
  • icon Lecture 1.3 Standard Data Types
  • icon Lecture 1.4 Python Numbers
  • icon Lecture 1.5 Python Strings
  • icon Lecture 1.6 Python Lists
  • icon Lecture 1.7 Python Dictionary
  • icon Lecture 1.8 Data Type Conversion

  • icon Lecture 1.1 Types of Operators
  • icon Lecture 1.2 Python Arithmetic Operators
  • icon Lecture 1.3 Python Comparison Operators
  • icon Lecture 1.4 Python Assignment Operators
  • icon Lecture 1.5 Python Bitwise Operators
  • icon Lecture 1.6 Python Logical Operators

  • icon Lecture 1.1 If Statement
  • icon Lecture 1.2 If…else Statement
  • icon Lecture 1.3 The elif Statement
  • icon Lecture 1.4 Single Statement Suites

  • icon Lecture 1.1 While Loop
  • icon Lecture 1.2 The Infinite Loop
  • icon Lecture 1.3 Using else Statement with Loops
  • icon Lecture 1.4 Single Statement Suites
  • icon Lecture 1.5 For Loop
  • icon Lecture 1.6 Iterating by Sequence Index
  • icon Lecture 1.7 Using else Statement with Loops
  • icon Lecture 1.8 Nested Loops
  • icon Lecture 1.9 Loop Control Statementso
  • icon Lecture 1.10 Break Statement
  • icon Lecture 1.11Continue Statement
  • icon Lecture 1.12Pass Statement

  • icon Lecture 1.1 Number Type Conversion
  • icon Lecture 1.2 Random Number Functions
  • icon Lecture 1.3 Trigonometric Functions
  • icon Lecture 1.4 Mathematical Constants

  • icon Lecture 1.1 Accessing Values in Strings
  • icon Lecture 1.2 Updating Strings
  • icon Lecture 1.3 Escape Characters
  • icon Lecture 1.4 String Special Operators
  • icon Lecture 1.5 String Special Operators
  • icon Lecture 1.7 Triple Quotes
  • icon Lecture 1.8 Unicode String
  • icon Lecture 1.9 Built-in String Methods

  • icon Lecture 1.1 Python Lists
  • icon Lecture 1.2 Accessing Values in Lists
  • icon Lecture 1.3 Updating Lists
  • icon Lecture 1.4 Deleting List Elements
  • icon Lecture 1.5 Basic List Operations
  • icon Lecture 1.6 Indexing, Slicing, and Matrixes
  • icon Lecture 1.7 Built-in List Functions and Methods

  • icon Lecture 1.1 Accessing Values in Tuples
  • icon Lecture 1.2Updating Tuples
  • icon Lecture 1.3Deleting Tuple Elements
  • icon Lecture 1.4 Basic Tuples Operations
  • icon Lecture 1.5 Indexing, Slicing, and Matrixes
  • icon Lecture 1.6 No Enclosing Delimiters:
  • icon Lecture 1.7 Built-in Tuple Functions

  • icon Lecture 1.1 Accessing Values in Dictionary
  • icon Lecture 1.2 Updating Dictionary
  • icon Lecture 1.3 Delete Dictionary Elements
  • icon Lecture 1.4 Properties of Dictionary Keys
  • icon Lecture 1.5 Built-in Dictionary Functions and Methods (Core level ends here)

  • icon Lecture 1.1 What is Tick?
  • icon Lecture 1.2 What is TimeTuple?
  • icon Lecture 1.3 Getting Current Time
  • icon Lecture 1.4 Getting Formatted Time
  • icon Lecture 1.5 Getting Calendar for a Month
  • icon Lecture 1.6 The time Module
  • icon Lecture 1.7 The calendar Module
  • icon Lecture 1.8 Other Modules and Functions

  • icon Lecture 1.1 Defining a Function
  • icon Lecture 1.2 Calling a Function
  • icon Lecture 1.3 Passing by Reference Versus Passing by Value
  • icon Lecture 1.4 Function Arguments
  • icon Lecture 1.5 Required Arguments
  • icon Lecture 1.6 Keyword Arguments
  • icon Lecture 1.7 Default Arguments
  • icon Lecture 1.8Variable Length Arguments
  • icon Lecture 1.9The Anonymous Functions
  • icon Lecture 1.10The return Statement
  • icon Lecture 1.11Scope of Variables
  • icon Lecture 1.12Global vs. Local variables:

  • icon Lecture 1.1 The import Statement
  • icon Lecture 1.2 The from...import Statement
  • icon Lecture 1.3 The from...import * Statement:
  • icon Lecture 1.4 Locating Modules:
  • icon Lecture 1.5 The PYTHONPATH Variable
  • icon Lecture 1.6 Namespaces and Scoping
  • icon Lecture 1.7 The dir( ) Function
  • icon Lecture 1.8The globals() and locals() Functions
  • icon Lecture 1.9The reload() Function
  • icon Lecture 1.10Packages in Python

  • icon Lecture 1.1 Printing to the Screen
  • icon Lecture 1.2 Reading Keyboard Input
  • icon Lecture 1.3 The raw_input Function
  • icon Lecture 1.4 The input Function
  • icon Lecture 1.5 Opening and Closing Files
  • icon Lecture 1.6 The open Function
  • icon Lecture 1.7 The file Object Attributes
  • icon Lecture 1.8The close() Method
  • icon Lecture 1.9Reading and Writing Files
  • icon Lecture 1.10The write() Method
  • icon Lecture 1.11The read() Method
  • icon Lecture 1.12File Positions
  • icon Lecture 1.13Renaming and Deleting Files
  • icon Lecture 1.14The rename() Method
  • icon Lecture 1.15The remove() Method
  • icon Lecture 1.16Directories in Python
  • icon Lecture 1.17The mkdir() Method
  • icon Lecture 1.18The chdir() Method
  • icon Lecture 1.19The getcwd() Method
  • icon Lecture 1.20The rmdir() Method
  • icon Lecture 1.21File and Directory Related Methods

  • icon Lecture 1.1 What is Exception?
  • icon Lecture 1.2 Handling an Exception
  • icon Lecture 1.3 The except Clause with No Exceptions
  • icon Lecture 1.4 The except Clause with Multiple Exceptions
  • icon Lecture 1.5 The try-finally Clause
  • icon Lecture 1.6 Argument of an Exception
  • icon Lecture 1.7 Raising an Exceptions
  • icon Lecture 1.8User-Defined Exceptions

  • icon Lecture 1.1 Overview of OOP Terminology
  • icon Lecture 1.2 Creating Classes
  • icon Lecture 1.3 Creating Instance Objects
  • icon Lecture 1.4 Accessing Attributes
  • icon Lecture 1.5 Built-In Class Attributes
  • icon Lecture 1.6 Destroying Objects (Garbage Collection)
  • icon Lecture 1.7 Class Inheritance
  • icon Lecture 1.8Overriding Methods
  • icon Lecture 1.9Base Overloading Methods
  • icon Lecture 1.10Overloading Operators
  • icon Lecture 1.11Data Hiding

  • icon Lecture 1.1 The match Function
  • icon Lecture 1.2 The search Function Ds
  • icon Lecture 1.3 Matching Versus Searching
  • icon Lecture 1.4 Search and Replace
  • icon Lecture 1.5 Regular-Expression Modifiers: Option Flags
  • icon Lecture 1.6 Regular-Expression Patterns
  • icon Lecture 1.7 Regular-Expression Examples
  • icon Lecture 1.8Grouping with Parentheses
  • icon Lecture 1.9Backreferences

  • icon Lecture 1.1 What is MySQLdb?
  • icon Lecture 1.2 How do I Install MySQLdb?
  • icon Lecture 1.3 Database Connection
  • icon Lecture 1.4 Creating Database Table
  • icon Lecture 1.5 INSERT Operation
  • icon Lecture 1.6 READ Operation
  • icon Lecture 1.7 Update Operation
  • icon Lecture 1.8 DELETE Operation
  • icon Lecture 1.9 Performing Transactions
  • icon Lecture 1.10 COMMIT Operation
  • icon Lecture 1.11 ROLLBACK Operation
  • icon Lecture 1.12 Disconnecting Database
  • icon Lecture 1.13 Handling Errors

  • icon Lecture 1.1 Starting a New Thread
  • icon Lecture 1.2 The Threading Module
  • icon Lecture 1.3 Creating Thread Using Threading Module
  • icon Lecture 1.4 Synchronizing Threads
  • icon Lecture 1.5 Multithreaded Priority Queue

  • icon Lecture 1.1 TKINTER
  • icon Lecture 1.2 Widgets
  • icon Lecture 1.3 Attributes
thumb

Cameron Williamson

Visitsite: Itech-themes

Self-reflection requires courage and patience. Teaching students to be self- them a skill that will help them throughout their lives.

Student Feedback

4.5

Total 3 Student Ratings

  • 52 Rating
  • 52 Rating
  • 52 Rating
  • 52 Rating
  • 52 Rating
playicon

Course Pricing

$65.00$90.00

Course Features

  • Lectures 187
  • Assignment 187
  • Duration 44 Hrs
  • Skill level All levels
  • Language English/Hindi
  • Students 10000
  • Assessments Yes