Learn skills from Google, IBM and Meta
1. Google Data Analytics
https://lnkd.in/dh3EfuAb
2. Google Project Management
https://lnkd.in/dABg5Bq2
3. Google IT Support
https://lnkd.in/dTb2xFhs
4. Google Digital Marketing & E-commerce
https://lnkd.in/dR5-TzGZ
5. Google IT Automation with Python
https://lnkd.in/d5mVf7TD
6. Google Business Intelligence
https://lnkd.in/dhf2Rvnx
7. Google Advanced Data Analytics
https://lnkd.in/dh3EfuAb
8. Google Cybersecurity
https://lnkd.in/dUB-QZRP
9. IBM Data Science
https://lnkd.in/dn8enWRk
10. Machine Learning
https://lnkd.in/diR_TFVq
11. IBM Data Analyst
https://lnkd.in/dw2FCJnw
12. Python for Everybody
https://lnkd.in/d8Adh_wB
1. Google Data Analytics
https://lnkd.in/dh3EfuAb
2. Google Project Management
https://lnkd.in/dABg5Bq2
3. Google IT Support
https://lnkd.in/dTb2xFhs
4. Google Digital Marketing & E-commerce
https://lnkd.in/dR5-TzGZ
5. Google IT Automation with Python
https://lnkd.in/d5mVf7TD
6. Google Business Intelligence
https://lnkd.in/dhf2Rvnx
7. Google Advanced Data Analytics
https://lnkd.in/dh3EfuAb
8. Google Cybersecurity
https://lnkd.in/dUB-QZRP
9. IBM Data Science
https://lnkd.in/dn8enWRk
10. Machine Learning
https://lnkd.in/diR_TFVq
11. IBM Data Analyst
https://lnkd.in/dw2FCJnw
12. Python for Everybody
https://lnkd.in/d8Adh_wB
lnkd.in
LinkedIn
This link will take you to a page thatβs not on LinkedIn
π4π2β€1π₯1
Complete Roadmap map To learn SQL in one month
Week 1: Introduction and Basics
Day 1-2: Understanding Databases and SQL Syntax
β’Study relational databases and SQLβs role in managing and querying data.
β’Familiarize yourself with common SQL databases (e.g., MySQL, PostgreSQL, SQLite).
β’Install a SQL environment or use a cloud-based platform like SQLBolt, Mode, or Google BigQuery to practice.
β’Day 3-4: Basic SQL Commands
β’Learn fundamental commands such as SELECT, FROM, and WHERE.
β’Practice filtering data with conditions and combining them with AND, OR, and NOT operators.
β’Complete exercises on selecting specific columns, using DISTINCT to remove duplicates, and sorting data with ORDER BY.
β’Day 5-7: Basic Functions and Aggregate Functions
β’Learn to use basic functions like COUNT, SUM, MIN, MAX, and AVG for aggregate data analysis.
β’Practice grouping data with GROUP BY and filtering grouped data with HAVING.
Week 2: Intermediate Querying Techniques
β’Day 8-10: Joining Tables
β’Study types of joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN).
β’Understand primary and foreign keys and how they link tables in relational databases.
β’Practice combining data from multiple tables with various joins.
β’ Day 11-12: Subqueries and Nested Queries
β’ Learn how to create subqueries within SELECT, WHERE, and FROM clauses.
β’ Practice writing queries that depend on other queries, focusing on readability and efficiency.
β’ Day 13-14: Set Operations
β’ Learn about set operators (UNION, INTERSECT, EXCEPT) to combine or filter query results.
β’ Practice combining results from different tables or queries and filtering results.
Week 3: Advanced SQL Concepts
β’ Day 15-16: Advanced Functions
β’ Study string functions (e.g., CONCAT, SUBSTRING, REPLACE), date functions (e.g., DATEADD, DATEDIFF), and mathematical functions.
β’ Learn about case statements and conditional logic to customize output.
β’ Day 17-18: Indexes and Performance Optimization
β’ Understand indexes, their purpose, and their effect on query performance.
β’ Study how to use EXPLAIN to analyze queries and optimize them for faster results.
β’ Day 19-21: Stored Procedures, Triggers, and Views
β’ Learn to create stored procedures to encapsulate SQL code for reusability.
β’ Study triggers to automate actions based on database events.
β’ Practice creating views to simplify complex queries for easier access.
Week 4: Final Project and Practical Applications
β’ Day 22-25: Case Study or Mini Project
β’ Choose a dataset (e.g., a sample sales database) and outline analysis goals.
β’ Write queries to extract insights, applying techniques from previous weeks.
β’ Ensure to include complex joins, subqueries, and aggregate analysis.
β’ Day 26-28: Error Handling and Best Practices
β’ Learn common SQL pitfalls and best practices for writing clean, efficient queries.
β’ Understand how to troubleshoot errors and optimize query structure.
β’ Day 29-30: Review and Practice
β’ Revisit complex topics and practice additional exercises.
β’ Take sample SQL assessments or timed quizzes to evaluate your progress.
By following this roadmap, you will build a solid SQL foundation within a month.
Week 1: Introduction and Basics
Day 1-2: Understanding Databases and SQL Syntax
β’Study relational databases and SQLβs role in managing and querying data.
β’Familiarize yourself with common SQL databases (e.g., MySQL, PostgreSQL, SQLite).
β’Install a SQL environment or use a cloud-based platform like SQLBolt, Mode, or Google BigQuery to practice.
β’Day 3-4: Basic SQL Commands
β’Learn fundamental commands such as SELECT, FROM, and WHERE.
β’Practice filtering data with conditions and combining them with AND, OR, and NOT operators.
β’Complete exercises on selecting specific columns, using DISTINCT to remove duplicates, and sorting data with ORDER BY.
β’Day 5-7: Basic Functions and Aggregate Functions
β’Learn to use basic functions like COUNT, SUM, MIN, MAX, and AVG for aggregate data analysis.
β’Practice grouping data with GROUP BY and filtering grouped data with HAVING.
Week 2: Intermediate Querying Techniques
β’Day 8-10: Joining Tables
β’Study types of joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN).
β’Understand primary and foreign keys and how they link tables in relational databases.
β’Practice combining data from multiple tables with various joins.
β’ Day 11-12: Subqueries and Nested Queries
β’ Learn how to create subqueries within SELECT, WHERE, and FROM clauses.
β’ Practice writing queries that depend on other queries, focusing on readability and efficiency.
β’ Day 13-14: Set Operations
β’ Learn about set operators (UNION, INTERSECT, EXCEPT) to combine or filter query results.
β’ Practice combining results from different tables or queries and filtering results.
Week 3: Advanced SQL Concepts
β’ Day 15-16: Advanced Functions
β’ Study string functions (e.g., CONCAT, SUBSTRING, REPLACE), date functions (e.g., DATEADD, DATEDIFF), and mathematical functions.
β’ Learn about case statements and conditional logic to customize output.
β’ Day 17-18: Indexes and Performance Optimization
β’ Understand indexes, their purpose, and their effect on query performance.
β’ Study how to use EXPLAIN to analyze queries and optimize them for faster results.
β’ Day 19-21: Stored Procedures, Triggers, and Views
β’ Learn to create stored procedures to encapsulate SQL code for reusability.
β’ Study triggers to automate actions based on database events.
β’ Practice creating views to simplify complex queries for easier access.
Week 4: Final Project and Practical Applications
β’ Day 22-25: Case Study or Mini Project
β’ Choose a dataset (e.g., a sample sales database) and outline analysis goals.
β’ Write queries to extract insights, applying techniques from previous weeks.
β’ Ensure to include complex joins, subqueries, and aggregate analysis.
β’ Day 26-28: Error Handling and Best Practices
β’ Learn common SQL pitfalls and best practices for writing clean, efficient queries.
β’ Understand how to troubleshoot errors and optimize query structure.
β’ Day 29-30: Review and Practice
β’ Revisit complex topics and practice additional exercises.
β’ Take sample SQL assessments or timed quizzes to evaluate your progress.
By following this roadmap, you will build a solid SQL foundation within a month.
π9β€5
β― Python
cs50.harvard.edu/python/
β― JavaScript
openclassrooms.com/en/courses/566β¦
β― SQL
online.stanford.edu/courses/soe-ydβ¦
β― C
alison.com/course/diplomaβ¦
β― C++
alison.com/course/c-plus-β¦
β― Java
scaler.com/topics/course/β¦
β― C#
freecodecamp.org/learn/foundatiβ¦
β― HTML and CSS
openclassrooms.com/en/courses/526β¦
β― React
v2.scrimba.com/learn-react-c0e
cs50.harvard.edu/python/
β― JavaScript
openclassrooms.com/en/courses/566β¦
β― SQL
online.stanford.edu/courses/soe-ydβ¦
β― C
alison.com/course/diplomaβ¦
β― C++
alison.com/course/c-plus-β¦
β― Java
scaler.com/topics/course/β¦
β― C#
freecodecamp.org/learn/foundatiβ¦
β― HTML and CSS
openclassrooms.com/en/courses/526β¦
β― React
v2.scrimba.com/learn-react-c0e
cs50.harvard.edu
CS50's Introduction to Programming with Python
An introduction to programming using a language called Python. Learn how to read and write code as well as how to test and βdebugβ it. Designed for students...
β€5π4
Here is the code to make a Pac-Man game ππΌ
- Install Pygame if you donβt have it already:
Python Code for a Basic Pac-Man Game:
- Install Pygame if you donβt have it already:
pip install pygamePython Code for a Basic Pac-Man Game:
import pygame
import sys
# Initialize Pygame
pygame.init()
# Screen settings
WIDTH, HEIGHT = 600, 400
screen = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption("Pac-Man Game")
# Colors
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
YELLOW = (255, 255, 0)
RED = (255, 0, 0)
# Clock for frame rate
clock = pygame.time.Clock()
FPS = 30
# Pac-Man settings
pacman_size = 20
pacman_x, pacman_y = WIDTH // 2, HEIGHT // 2
pacman_speed = 5
pacman_dir = "RIGHT"
# Ghost settings
ghost_size = 20
ghost_x, ghost_y = 100, 100
ghost_speed = 2
# Collectibles (dots)
dots = [(50, 50), (150, 100), (300, 200), (400, 300), (500, 150)]
dot_radius = 5
# Score
score = 0
# Game loop
running = True
while running:
screen.fill(BLACK)
# Handle events
for event in pygame.event.get():
if event.type == pygame.QUIT:
running = False
# Move Pac-Man
keys = pygame.key.get_pressed()
if keys[pygame.K_UP]:
pacman_y -= pacman_speed
pacman_dir = "UP"
if keys[pygame.K_DOWN]:
pacman_y += pacman_speed
pacman_dir = "DOWN"
if keys[pygame.K_LEFT]:
pacman_x -= pacman_speed
pacman_dir = "LEFT"
if keys[pygame.K_RIGHT]:
pacman_x += pacman_speed
pacman_dir = "RIGHT"
# Keep Pac-Man on screen
pacman_x = max(0, min(WIDTH - pacman_size, pacman_x))
pacman_y = max(0, min(HEIGHT - pacman_size, pacman_y))
# Draw Pac-Man
if pacman_dir == "RIGHT":
pygame.draw.pacman = pygame.draw.polygon(screen, YELLOW, [(pacman_x + pacman_size, pacman_y + pacman_size )π17β€5π₯°3
β€2
Wish you a very Happy New Year! π May this year bring you success, happiness, and endless opportunities to shine
β€4π3
import os
import subprocess
def get_connected_devices():
"""
Fetch a list of devices connected to your Wi-Fi network using ARP.
"""
try:
print("Fetching connected devices...")
devices = subprocess.check_output("arp -a", shell=True).decode()
print("Connected Devices:\n", devices)
except Exception as e:
print("Error fetching connected devices:", e)
def change_wifi_password(ssid, new_password):
"""
Update the Wi-Fi password on the router using the router's admin panel.
"""
print(f"Make sure to log in to your router's admin panel to change the password for Wi-Fi network: {ssid}")
print(f"Set the new password to: {new_password}")
def block_device(mac_address):
"""
Block a specific device from your network using its MAC address.
"""
try:
print(f"Blocking device with MAC address: {mac_address}...")
command = f"netsh wlan block allowmac={mac_address}"
os.system(command)
print(f"Device {mac_address} has been blocked.")
except Exception as e:
print("Error blocking device:", e)
def secure_wifi():
"""
Perform basic Wi-Fi security tasks.
"""
print("Securing your Wi-Fi network...\n")
# Step 1: Get a list of connected devices
get_connected_devices()
# Step 2: Change Wi-Fi password
ssid = input("\nEnter your Wi-Fi SSID: ")
new_password = input("Enter a new strong password for your Wi-Fi: ")
change_wifi_password(ssid, new_password)
# Step 3: Block suspicious devices
block_option = input("\nDo you want to block a suspicious device? (yes/no): ").strip().lower()
if block_option == "yes":
mac_address = input("Enter the MAC address of the device to block: ").strip()
block_device(mac_address)
print("\nWi-Fi security measures applied. Ensure your router settings are up-to-date!")
# Run the Wi-Fi security tool
secure_wifi()
import subprocess
def get_connected_devices():
"""
Fetch a list of devices connected to your Wi-Fi network using ARP.
"""
try:
print("Fetching connected devices...")
devices = subprocess.check_output("arp -a", shell=True).decode()
print("Connected Devices:\n", devices)
except Exception as e:
print("Error fetching connected devices:", e)
def change_wifi_password(ssid, new_password):
"""
Update the Wi-Fi password on the router using the router's admin panel.
"""
print(f"Make sure to log in to your router's admin panel to change the password for Wi-Fi network: {ssid}")
print(f"Set the new password to: {new_password}")
def block_device(mac_address):
"""
Block a specific device from your network using its MAC address.
"""
try:
print(f"Blocking device with MAC address: {mac_address}...")
command = f"netsh wlan block allowmac={mac_address}"
os.system(command)
print(f"Device {mac_address} has been blocked.")
except Exception as e:
print("Error blocking device:", e)
def secure_wifi():
"""
Perform basic Wi-Fi security tasks.
"""
print("Securing your Wi-Fi network...\n")
# Step 1: Get a list of connected devices
get_connected_devices()
# Step 2: Change Wi-Fi password
ssid = input("\nEnter your Wi-Fi SSID: ")
new_password = input("Enter a new strong password for your Wi-Fi: ")
change_wifi_password(ssid, new_password)
# Step 3: Block suspicious devices
block_option = input("\nDo you want to block a suspicious device? (yes/no): ").strip().lower()
if block_option == "yes":
mac_address = input("Enter the MAC address of the device to block: ").strip()
block_device(mac_address)
print("\nWi-Fi security measures applied. Ensure your router settings are up-to-date!")
# Run the Wi-Fi security tool
secure_wifi()
π6
Top 5 In-Demand Skills for Students in 2025 π―
1οΈβ£ Cybersecurity
π https://youtu.be/v3iUx2SNspY?si=hPksJY9ycgqQwwU1
2οΈβ£ Data Analytics
π https://youtu.be/VaSjiJMrq24?si=fdhjQCebSQp7EW7i
3οΈβ£ Data Science
π https://youtu.be/gDZ6czwuQ18?si=lhak4XJzOTa2diBo
4οΈβ£ Generative AI
π https://youtu.be/mEsleV16qdo?si=WFucxrox6ELNCZPZ
5οΈβ£ Machine Learning
π https://youtu.be/LvC68w9JS4Y?si=DAJFSG-ZF6oFn-B
1οΈβ£ Cybersecurity
π https://youtu.be/v3iUx2SNspY?si=hPksJY9ycgqQwwU1
2οΈβ£ Data Analytics
π https://youtu.be/VaSjiJMrq24?si=fdhjQCebSQp7EW7i
3οΈβ£ Data Science
π https://youtu.be/gDZ6czwuQ18?si=lhak4XJzOTa2diBo
4οΈβ£ Generative AI
π https://youtu.be/mEsleV16qdo?si=WFucxrox6ELNCZPZ
5οΈβ£ Machine Learning
π https://youtu.be/LvC68w9JS4Y?si=DAJFSG-ZF6oFn-B
YouTube
Cyber Security Full Course for Beginners in 11 Hours - 2025 Edition
Cyber Security Full Course for Beginners in 11 Hours - 2025 Edition
π΄ To learn Ethical Hacking Course online with regular LIVE CLASSES, enroll now: https://www.wscubetech.com/landing-pages/online-ethical-hacking-course.html?utm_source=YouTube&utm_mediumβ¦
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π3
free courses
1. Introduction to Generative AI
https://lnkd.in/gnSN7HP2
2. Google Data Analytics Professional Certificate
https://lnkd.in/ghknERaS
3. Agile Project Management
https://lnkd.in/g8vWniyi
4. Project Execution: Running the Project
https://lnkd.in/gsPQUwEb
5. Foundations of Project Management
https://lnkd.in/gCUVJVZd
6. Project Initiation: Starting a Successful Project
https://lnkd.in/gsxSBfwc
7. Project Planning: Putting It All Together
https://lnkd.in/ghbFf53S
8. Google Data Analytics:
https://lnkd.in/gJERiGi4
9. Fundamentals of digital marketing
https://lnkd.in/gMC7_uF8
10. Get Started with Python
https://lnkd.in/grjFzDif
11. Learn Python Basics for Data Analysis
https://lnkd.in/gMXMsS_Z
12. Data, ML, and AI in Google Cloud
https://lnkd.in/gQ46XgH4?
13. Google Cloud Computing Foundations: Networking and Security in Google Cloud
https://lnkd.in/gited4Gn?
14. Google Advanced Data Analytics Capstone
https://lnkd.in/gvviE9-m
15. Data Analysis with R Programming
https://lnkd.in/gX8Qk4tX
1. Introduction to Generative AI
https://lnkd.in/gnSN7HP2
2. Google Data Analytics Professional Certificate
https://lnkd.in/ghknERaS
3. Agile Project Management
https://lnkd.in/g8vWniyi
4. Project Execution: Running the Project
https://lnkd.in/gsPQUwEb
5. Foundations of Project Management
https://lnkd.in/gCUVJVZd
6. Project Initiation: Starting a Successful Project
https://lnkd.in/gsxSBfwc
7. Project Planning: Putting It All Together
https://lnkd.in/ghbFf53S
8. Google Data Analytics:
https://lnkd.in/gJERiGi4
9. Fundamentals of digital marketing
https://lnkd.in/gMC7_uF8
10. Get Started with Python
https://lnkd.in/grjFzDif
11. Learn Python Basics for Data Analysis
https://lnkd.in/gMXMsS_Z
12. Data, ML, and AI in Google Cloud
https://lnkd.in/gQ46XgH4?
13. Google Cloud Computing Foundations: Networking and Security in Google Cloud
https://lnkd.in/gited4Gn?
14. Google Advanced Data Analytics Capstone
https://lnkd.in/gvviE9-m
15. Data Analysis with R Programming
https://lnkd.in/gX8Qk4tX
lnkd.in
LinkedIn
This link will take you to a page thatβs not on LinkedIn
β€6π6
1. Google Ads Training By Google's Skillshop
β’ Time: 28h24m
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/g2MTic-e
2. Microsoft Advertising PPC Certification
β’ Time: 8h40m
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/g25Ux_DG
3. Google Ads for Beginners By Coursera
β’ Time: 2h
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/g8CWU7Cy
4. Google Ads Search Campaign By Coursera
β’ Time: 2h
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/gggn9R_A
5. Google Ads Essential Training by LinkedIn
β’ Time: 2h24m
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/g23Ue82b
6. Advanced Google Ads by LinkedIn
β’ Time: 2h02m
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/gq323P3D
7. PPC Fundamentals Course By Semrush
β’ Time: 5h
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/gxDrBiPu
8. PPC Foundations by Simplilearn
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β’ Certification: Yes
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Link: https://lnkd.in/grSpMvNb
9. Diploma in Google Ads By Alison
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β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/gifrQaq4
β’ Time: 28h24m
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/g2MTic-e
2. Microsoft Advertising PPC Certification
β’ Time: 8h40m
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/g25Ux_DG
3. Google Ads for Beginners By Coursera
β’ Time: 2h
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/g8CWU7Cy
4. Google Ads Search Campaign By Coursera
β’ Time: 2h
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/gggn9R_A
5. Google Ads Essential Training by LinkedIn
β’ Time: 2h24m
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/g23Ue82b
6. Advanced Google Ads by LinkedIn
β’ Time: 2h02m
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/gq323P3D
7. PPC Fundamentals Course By Semrush
β’ Time: 5h
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/gxDrBiPu
8. PPC Foundations by Simplilearn
β’ Time: 4h
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/grSpMvNb
9. Diploma in Google Ads By Alison
β’ Time: 15h
β’ Certification: Yes
β’ Cost: Free
Link: https://lnkd.in/gifrQaq4
lnkd.in
LinkedIn
This link will take you to a page thatβs not on LinkedIn
π8β€2
Useful Excel Shortcuts:
β Ctrl + A: Select all contents of the page.
β Ctrl + B: Bold highlighted selection.
β Ctrl + C: Copy selected text.
β Ctrl + X: Cut selected text.
β Ctrl + P: Open the print window.
β Ctrl + F: Open find box.
βCtrl + I: Italic highlighted selection.
β Ctrl + K: Insert link (Shortcut Keys and their Functions).
β Ctrl + U: Underline highlighted selection.
β Ctrl + V: Paste.
β Ctrl + Y: Redo the last action performed.
β Ctrl + Z: Undo last action.
β Ctrl + L: Aligns the line or selected text to the left of the screen.
β Ctrl + E: Aligns the line or selected text to the center of the screen.
β Ctrl + R: Aligns the line or selected text to the right of the screen.
β Ctrl + M: Indent the paragraph.
β Ctrl + Shift + F: Change the font.
β Ctrl + Shift + >: Increase selected font +1pts up to 12pt and then increases font +2pts.
β Ctrl + ]: Increase selected font +1pts.
β Ctrl + Shift + <: Decrease selected font -1pts if 12pt or lower, if above 12 decreases font by +2pt.
β Ctrl + [: Decrease selected font -1pts.
β Ctrl + Shift + *: View or hide non printing characters.
β Ctrl + L: Moves one word to the left.
β Ctrl + R: Moves one word to the right.
β Ctrl + : Moves to the beginning of the line or paragraph.
β Ctrl + : Moves to the end of the paragraph.
β Ctrl + Del: Deletes word to right of cursor.
β Ctrl + Backspace: Deletes word to left of cursor.
β Ctrl + End: Moves the cursor to the end of the
document.
β Ctrl + Home: Moves the cursor to the beginning of the document.
β Ctrl + Spacebar: Reset highlighted text to the default font.
β Ctrl + 1: Single-space lines.
β Ctrl + 2: Double-space lines.
β Ctrl + 5: 1.5-line spacing.
β Ctrl + Alt + 1: Changes text to heading 1.
β Ctrl + Alt + 2: Changes text to heading 2.
β Ctrl + Alt + 3: Changes text to heading 3.
β Alt + Shift + D: Insert the current date.
β Alt + Shift + T: Insert the current time.
β Alt + F: File menu options in current program.
β Alt + E: Edit options in current program.
β F1: Universal Help in almost every Windows program.
β Ctrl + A: Select all text.
β Ctrl + X: Cut
β Shift + Del: Cut selected item.
β Ctrl + C: Copy selected item.
β Ctrl + Ins: Copy selected item.
β Ctrl + V: Paste selected item.
β Shift + Ins: Paste.
β Home: Goes to beginning of current line.
β Ctrl + Home: Goes to beginning of document.
β End: Goes to end of current line.
β Ctrl + End: Goes to end of document.
β Shift + Home: Highlights from current position to beginning of line.
β Shift + End: Highlights from current position to end of line.
β Ctrl + Left arrow: Moves one word to the left at a time.
β Ctrl + Right arrow: Moves one word to the right at a time.
β Ctrl + A: Select all contents of the page.
β Ctrl + B: Bold highlighted selection.
β Ctrl + C: Copy selected text.
β Ctrl + X: Cut selected text.
β Ctrl + P: Open the print window.
β Ctrl + F: Open find box.
βCtrl + I: Italic highlighted selection.
β Ctrl + K: Insert link (Shortcut Keys and their Functions).
β Ctrl + U: Underline highlighted selection.
β Ctrl + V: Paste.
β Ctrl + Y: Redo the last action performed.
β Ctrl + Z: Undo last action.
β Ctrl + L: Aligns the line or selected text to the left of the screen.
β Ctrl + E: Aligns the line or selected text to the center of the screen.
β Ctrl + R: Aligns the line or selected text to the right of the screen.
β Ctrl + M: Indent the paragraph.
β Ctrl + Shift + F: Change the font.
β Ctrl + Shift + >: Increase selected font +1pts up to 12pt and then increases font +2pts.
β Ctrl + ]: Increase selected font +1pts.
β Ctrl + Shift + <: Decrease selected font -1pts if 12pt or lower, if above 12 decreases font by +2pt.
β Ctrl + [: Decrease selected font -1pts.
β Ctrl + Shift + *: View or hide non printing characters.
β Ctrl + L: Moves one word to the left.
β Ctrl + R: Moves one word to the right.
β Ctrl + : Moves to the beginning of the line or paragraph.
β Ctrl + : Moves to the end of the paragraph.
β Ctrl + Del: Deletes word to right of cursor.
β Ctrl + Backspace: Deletes word to left of cursor.
β Ctrl + End: Moves the cursor to the end of the
document.
β Ctrl + Home: Moves the cursor to the beginning of the document.
β Ctrl + Spacebar: Reset highlighted text to the default font.
β Ctrl + 1: Single-space lines.
β Ctrl + 2: Double-space lines.
β Ctrl + 5: 1.5-line spacing.
β Ctrl + Alt + 1: Changes text to heading 1.
β Ctrl + Alt + 2: Changes text to heading 2.
β Ctrl + Alt + 3: Changes text to heading 3.
β Alt + Shift + D: Insert the current date.
β Alt + Shift + T: Insert the current time.
β Alt + F: File menu options in current program.
β Alt + E: Edit options in current program.
β F1: Universal Help in almost every Windows program.
β Ctrl + A: Select all text.
β Ctrl + X: Cut
β Shift + Del: Cut selected item.
β Ctrl + C: Copy selected item.
β Ctrl + Ins: Copy selected item.
β Ctrl + V: Paste selected item.
β Shift + Ins: Paste.
β Home: Goes to beginning of current line.
β Ctrl + Home: Goes to beginning of document.
β End: Goes to end of current line.
β Ctrl + End: Goes to end of document.
β Shift + Home: Highlights from current position to beginning of line.
β Shift + End: Highlights from current position to end of line.
β Ctrl + Left arrow: Moves one word to the left at a time.
β Ctrl + Right arrow: Moves one word to the right at a time.
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