Free Online Courses With Certification From IBM, META, And GOOGLE

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! 🌟

URLs:

References:

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