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

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You Should Know:

1. Microsoft Azure Data Scientist Associate

2. Microsoft Cybersecurity Analyst Professional

3. Microsoft Power BI Data Analyst Professional

4. Microsoft Azure Data Engineering Associate (DP-203) Professional

5. Microsoft Azure Developer Associate (AZ-204) Professional

  • Course Link: Microsoft Azure Developer Associate
  • Practice Command: Deploy a web app using Azure CLI:
    az webapp up --name mywebapp --resource-group myresourcegroup --location eastus
    

6. Microsoft Azure Security Engineer Associate (AZ-500) Professional

  • Course Link: Microsoft Azure Security Engineer Associate
  • Practice Command: Use Azure CLI to enable network security group (NSG) logging:
    az network watcher flow-log configure --nsg mynsg --enabled true --resource-group myresourcegroup
    

7. Advanced Google Analytics

  • Course Link: Advanced Google Analytics
  • Practice Command: Use Google Analytics API to fetch data:
    from googleapiclient.discovery import build
    service = build('analytics', 'v3', credentials=credentials)
    

8. Google Project Management

  • Course Link: Google Project Management
  • Practice Command: Use Google Sheets API to create a project tracker:
    from googleapiclient.discovery import build
    service = build('sheets', 'v4', credentials=credentials)
    

9. Agile Project Management

  • Course Link: Agile Project Management
  • Practice Command: Use Jira CLI to create a sprint:
    jira sprint create --name "Sprint 1" --start-date 2023-10-01 --end-date 2023-10-15
    

10. Project Execution: Running the Project

11. Foundations of Project Management

  • Course Link: Foundations of Project Management
  • Practice Command: Use Trello API to create a board:
    import trello
    client = trello.TrelloClient(api_key='your_key', token='your_token')
    

12. Project Initiation: Starting a Successful Project

13. Project Planning: Putting It All Together

14. Google Data Analytics

  • Course Link: Google Data Analytics
  • Practice Command: Use BigQuery to run a query:
    SELECT * FROM `myproject.mydataset.mytable` LIMIT 10
    

15. Get Started with Python

16. Crash Course on Python

  • Course Link: Crash Course on Python
  • Practice Command: Use Python to create a virtual environment:
    python -m venv myenv
    

17. Data Analysis with R Programming

What Undercode Say:

These courses and commands are essential for anyone looking to enhance their skills in IT, cybersecurity, and data analytics. By practicing these commands and steps, you can gain hands-on experience and improve your proficiency in these areas. Always ensure you have the necessary permissions and access rights before executing any commands in a production environment.

References:

Reported By: Rushika Rai – Hackers Feeds
Extra Hub: Undercode MoN
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