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Hereβs a curated list of free courses to enhance your IT, cybersecurity, and data analytics skills:
1. Google Data Analytics
π Google Data Analytics Course
2. Advanced Google Analytics
π Advanced Google Analytics Course
3. Google Project Management
π Google Project Management Course
4. IBM Project Manager
π IBM Project Manager Course
5. IBM Data Analyst
6. IBM Data Analytics with Excel and R
π IBM Data Analytics with Excel and R Course
7. IBM Data Science
8. IBM Data Engineering
π IBM Data Engineering Course
9. Learn SQL Basics for Data Science
π SQL Basics for Data Science Course
10. Excel for Business
π Excel for Business Course
11. Python for Everybody
π Python for Everybody Course
12. Microsoft Cybersecurity Analyst Professional
π Microsoft Cybersecurity Analyst Course
13. Microsoft Power BI Data Analyst Professional
π Microsoft Power BI Data Analyst Course
14. Google AI Essentials
π Google AI Essentials Course
15. Google Prompting Essentials
π Google Prompting Essentials Course
16. IBM AI Developer Professional Certificate
17. ChatGPT for Beginners
π ChatGPT for Beginners Course
18. Generative AI for Cybersecurity
π Generative AI for Cybersecurity Course
What Undercode Say
In the ever-evolving world of IT and cybersecurity, staying updated with the latest skills and tools is crucial. The courses listed above provide a solid foundation in data analytics, cybersecurity, AI, and project management. Here are some practical commands and tools to complement your learning:
- Linux Commands for Cybersecurity:
– `nmap -sP 192.168.1.0/24` (Scan a network for active devices)
– `tcpdump -i eth0` (Capture network traffic on a specific interface)
– `chmod 600 file.txt` (Set file permissions for security)
– `sudo ufw enable` (Enable Uncomplicated Firewall for basic protection) Windows Commands for IT Professionals:
– `ipconfig /all` (Display detailed network configuration)
– `netstat -an` (Show active connections and listening ports)
– `tasklist /svc` (List running processes and services)
– `sfc /scannow` (Scan and repair system files)Python for Data Analysis:
import pandas as pd data = pd.read_csv('data.csv') print(data.describe())
SQL for Data Science:
SELECT COUNT(*) FROM users WHERE age > 30;
These resources and commands will help you build a strong foundation in IT and cybersecurity. Keep practicing and exploring new tools to stay ahead in your career.
For more advanced learning, visit the official documentation and communities for tools like Wireshark, Kali Linux, and Microsoft Azure.
Happy learning! π
References:
Hackers Feeds, Undercode AI