Boost Your Skills with Free Google, IBM, and Microsoft Courses

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You Should Know:

1. Google Data Analytics

https://lnkd.in/dMpgZ5YD
– Practice Command: Use `pandas` in Python to analyze datasets.

import pandas as pd
data = pd.read_csv('data.csv')
print(data.describe())

2. Google Project Management

https://lnkd.in/d8pHAARA
– Practice Command: Use `Trello` or `Jira` for task management.


<h1>Install Trello CLI (if available)</h1>

npm install -g trello-cli

3. Google to Generative AI

https://lnkd.in/dbDJKAyk
– Practice Command: Run a simple GPT model using Hugging Face.

from transformers import pipeline
generator = pipeline('text-generation', model='gpt2')
print(generator("Hello, AI!"))

4. Google Cybersecurity

https://lnkd.in/diPwu7Sj
– Practice Command: Use `nmap` for network scanning.

nmap -sP 192.168.1.0/24

5. Google IT Support

https://lnkd.in/ducYBhxj
– Practice Command: Troubleshoot network issues using `ping` and tracert.

ping google.com
tracert google.com

6. Get Started with Python

https://lnkd.in/dyVyVxvY
– Practice Command: Write a simple Python script.

print("Hello, World!")

7. Generative AI for Cybersecurity Professionals

https://lnkd.in/dSKXhipX
– Practice Command: Use `Wireshark` for packet analysis.

wireshark

8. SQL Basics for Data Science

https://lnkd.in/dAwsNtA5
– Practice Command: Run a SQL query.

SELECT * FROM users WHERE age > 30;

9. Machine Learning Specialization

https://lnkd.in/dXJAmEsE
– Practice Command: Train a simple ML model using scikit-learn.

from sklearn.linear_model import LinearRegression
model = LinearRegression()
model.fit(X_train, y_train)

10. to Data Science

https://lnkd.in/dnvmZxgf
– Practice Command: Visualize data using matplotlib.

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.show()

What Undercode Say:

The courses listed above are excellent resources for anyone looking to upskill in IT, cybersecurity, AI, and data science. By practicing the commands and steps provided, you can gain hands-on experience and deepen your understanding of these fields. Whether you’re analyzing data with Python, scanning networks with nmap, or training machine learning models, these skills are essential for staying competitive in the tech industry. Keep learning and experimenting!

References:

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Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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