Free Online Courses with Certification from IBM, META, and GOOGLE

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You Should Know:

Here are some verified commands and steps to help you get started with the courses mentioned:

1. IBM Data Science Professional Certificate

  • Command to install Python for Data Science:
    sudo apt-get install python3
    sudo apt-get install python3-pip
    pip3 install numpy pandas scikit-learn
    

2. Python

  • Command to run a Python script:
    python3 script_name.py
    

3. R

  • Command to install R:
    sudo apt-get install r-base
    

4. PowerBI

  • Command to install PowerBI on Windows:
    choco install powerbi
    

5. Mathematics

  • Command to install a symbolic mathematics library in Python:
    pip3 install sympy
    

6. Tableau

  • Command to install Tableau on Linux (via Wine):
    sudo apt-get install wine
    wine setup_tableau.exe
    

7. Excel and PowerBI

  • Command to install Excel on Linux (via PlayOnLinux):
    sudo apt-get install playonlinux
    playonlinux
    

8. Probability

  • Command to install a probability library in Python:
    pip3 install scipy
    

9. Statistics

  • Command to install a statistics library in Python:
    pip3 install statsmodels
    

10. Linear Algebra

  • Command to install a linear algebra library in Python:
    pip3 install numpy
    

11. Machine Learning

  • Command to install a machine learning library in Python:
    pip3 install tensorflow
    

12. Deep Learning

  • Command to install a deep learning library in Python:
    pip3 install keras
    

13. Data Analysis

  • Command to install a data analysis library in Python:
    pip3 install pandas
    

14. Data Visualization

  • Command to install a data visualization library in Python:
    pip3 install matplotlib seaborn
    

15. SQL

  • Command to install SQLite on Linux:
    sudo apt-get install sqlite3
    

What Undercode Say:

These courses are a great way to enhance your skills in data science, programming, and data analysis. The commands provided will help you set up the necessary tools and libraries to get started with these courses. Make sure to follow the installation steps carefully and practice the commands to get comfortable with the tools. Happy learning! 🌟

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