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Welcome to an introduction to data science. There are 12 learning modules. The final project of the is to do the data analysis to estimate thermal conductivity. If you are just starting Python, try the [[Main/CourseProjects|Begin Python]] first.

# [[https://github.com/APMonitor/data_science/blob/master/01.%20Overview.ipynb|Overview]]
# [[https://github.com/APMonitor/data_science/blob/master/02.%20Import_Export.ipynb|Data Import and Export]]
# [[https://github.com/APMonitor/data_science/blob/master/03.%20Analyze.ipynb|Data Analysis]]
# [[https://github.com/APMonitor/data_science/blob/master/04.%20Visualize.ipynb|Visualize Data]]
# [[https://github.com/APMonitor/data_science/blob/master/05.%20Prepare_data.ipynb|Prepare (Cleanse, Scale, Divide) Data]]
# [[https://github.com/APMonitor/data_science/blob/master/06.%20Regression.ipynb|Regression]]
# [[https://github.com/APMonitor/data_science/blob/master/07.%20Features.ipynb|Features]]
# [[https://github.com/APMonitor/data_science/blob/master/08.%20Classification.ipynb|Classification]]
# [[https://github.com/APMonitor/data_science/blob/master/09.%20Interpolation.ipynb|Interpolation]]
# [[https://github.com/APMonitor/data_science/blob/master/10.%20Solve_Equations.ipynb|Solve Equations]]
# [[https://github.com/APMonitor/data_science/blob/master/11.%20Differential_Equations.ipynb|Differential Equations]]
# [[https://github.com/APMonitor/data_science/blob/master/12.%20Time_Series.ipynb|Time Series]]

%width=30px%Attach:udemy.png [[https://www.udemy.com/course/python-data-science-with-tclab/|Data Science on Udemy]]

%height=20px%Attach:aiche.png [[https://www.aiche.org/academy/courses/ela271/introduction-data-science-python|ELA271: Intro to Data Science with Python 🐍 on AIChE Academy]]

%height=20px%Attach:aiche.png [[https://www.aiche.org/academy/courses/ela271/introduction-data-science-python|ELA271: Introduction to Data Science with Python 🐍 on AIChE Academy]]

%height=20px%Attach:aiche.png [[https://www.aiche.org/academy/courses/ela270/introduction-python-chemical-engineers|ELA271: Introduction to Data Science with Python 🐍 on AIChE Academy]]

%height=25px%Attach:aiche.png [[https://www.aiche.org/academy/courses/ela270/introduction-python-chemical-engineers|ELA271: Introduction to Data Science with Python 🐍 on AIChE Academy]]

%width=30px%Attach:classroom.png [[https://classroom.google.com/c/NDQxMDU5MDIwNTY1?cjc=mev4emk|Data Engineering in Google Classroom]]

Attach:download.png [[https://apmonitor.github.io/data_science|Data Science 🐍 with Python (GitHub)]]

Attach:classroom.png [[https://classroom.google.com/c/NDQxMDU5MDIwNTY1?cjc=mev4emk|Data Engineering in Google Classroom]]

Attach:download.png [[https://apmonitor.github.io/data_science|Data Science 🐍 with Python]]

The 12 modules step through the basics of data science.

1. [[https://github.com/APMonitor/data_science/blob/master/01.%20Overview.ipynb|Overview]]
2. [[https://github.com/APMonitor/data_science/blob/master/02.%20Import_Export.ipynb|Data Import and Export]]
3. [[https://github.com/APMonitor/data_science/blob/master/03.%20Analyze.ipynb|Data Analysis]]
4. [[https://github.com/APMonitor/data_science/blob/master/04.%20Visualize.ipynb|Visualize Data]]
5. [[https://github.com/APMonitor/data_science/blob/master/05.%20Prepare_data.ipynb|Prepare (Cleanse, Scale, Divide) Data]]
6. [[https://github.com/APMonitor/data_science/blob/master/06.%20Regression.ipynb|Regression]]
7. [[https://github.com/APMonitor/data_science/blob/master/07.%20Features.ipynb|Features]]
8. [[https://github.com/APMonitor/data_science/blob/master/08.%20Classification.ipynb|Classification]]
9. [[https://github.com/APMonitor/data_science/blob/master/09.%20Interpolation.ipynb|Interpolation]]
10. [[https://github.com/APMonitor/data_science/blob/master/10.%20Solve_Equations.ipynb|Solve Equations]]
11. [[https://github.com/APMonitor/data_science/blob/master/11.%20Differential_Equations.ipynb|Differential Equations]]
12. [[https://github.com/APMonitor/data_science/blob/master/12.%20Time_Series.ipynb|Time Series]]

The 12 modules step through the basics of data science. They give the skills needed to work on the final project. In the final project, metal coins, plastic, and cardboard are inserted in between the two heaters so that there is a conduction path for heat between the two sensors. The temperature difference and temperature levels are affected by the ability of the material to conduct heat from heater 1 and temperature sensor {`(T_1)`} to the other temperature sensor {`(T_2)`}.

Attach:download.png [[https://github.com/APMonitor/data_science|Data Science 🐍 with Python]]

Attach:download.png [[https://github.com/APMonitor/begin_python|Data Science 🐍 with Python]]

(:title Begin Python 🐍 with TCLab:)

Welcome to an introduction to data science. There are 12 learning modules. The final project of the is to do the data analysis to estimate thermal conductivity. If you are just starting Python, try the [[Main/CourseProject|Begin Python]] first.