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

1. Google Data Analytics

👉 https://lnkd.in/gv4whkFn

2. Advanced Google Analytics

👉 https://lnkd.in/gnswTs7t

3. Google Project Management

👉 https://lnkd.in/geUMD3K9

4. Foundations of Project Management

👉 https://lnkd.in/gJCjD6us

5. IBM Project Manager

🔗 https://lnkd.in/gTaaHHPQ

6. IBM Data Analyst

🔗 https://lnkd.in/gMingmB2

7. IBM Data Analytics with Excel and R

🔗 https://lnkd.in/gejqD9ry

8. IBM Data Science

🔗 https://lnkd.in/guyY26Ye

9. IBM Data Engineering

🔗 https://lnkd.in/geFjWDCj

10. IBM AI Engineering

🔗 https://lnkd.in/gQpHeu7e

11. Learn SQL Basics for Data Science

🌀 https://lnkd.in/gKcT3SdP

12. Excel for Business

🌀 https://lnkd.in/geHAfHAK

13. Python for Everybody

🌀 https://lnkd.in/gUga4caw

14. Data Analysis Visualization Foundations

🌀 https://lnkd.in/geWz5T-v

15. Machine Learning Specialization

🌀 https://lnkd.in/gCZqk6-J

16. to Data Science

🌀 https://lnkd.in/gK_C8XKy

17. Microsoft Azure Data Scientist Associate

👉 https://lnkd.in/gaX-nhS3

18. Microsoft Cybersecurity Analyst Professional

👉 https://lnkd.in/g_WYd7iw

19. Microsoft Power BI Data Analyst Professional

👉 https://lnkd.in/gi2FQkf7

What Undercode Say

In today’s fast-paced digital world, mastering IT and cybersecurity skills is no longer optional—it’s essential. Whether you’re diving into data analytics, exploring machine learning, or securing systems with cybersecurity expertise, the courses listed above provide a solid foundation. Here are some practical commands and tools to complement your learning:

• Linux Commands for Cybersecurity:
  – `nmap -sP 192.168.1.0/24` – Scan your network for connected devices.
  – `tcpdump -i eth0` – Capture network traffic on a specific interface.
  – `chmod 600 file.txt` – Restrict file permissions to enhance security.

• Windows Commands for IT Professionals:
  – `ipconfig /all` – Display detailed network configuration.
  – `netstat -an` – Show active connections and listening ports.
  – `tasklist /svc` – List all running processes and services.

• Data Analysis with Python:
  – `import pandas as pd` – Load data into a DataFrame for analysis.
  – `df.describe()` – Generate summary statistics for your dataset.
  – `plt.plot(x, y)` – Visualize data using Matplotlib.

• SQL for Data Science:
  – `SELECT * FROM table_name;` – Retrieve all data from a table.
  – `GROUP BY column_name;` – Aggregate data based on specific columns.
  – `JOIN table1 ON table2.column = table1.column;` – Combine data from multiple tables.

By combining these commands with the courses above, you’ll be well-equipped to tackle real-world challenges in IT, cybersecurity, and data science. Keep learning, practicing, and exploring new tools to stay ahead in the ever-evolving tech landscape.

For further exploration, visit the course links provided and start your journey today!

References:

Hackers Feeds, Undercode AI