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Welcome to an introduction to data science. There are 12 learning modules. The final project of the course is to do the data analysis to estimate how much heat is transferred. If you are just starting Python, try the Begin Python first.

1️⃣ Overview

2️⃣ Data Import and Export

3️⃣ Data Analysis

4️⃣ Visualize Data

5️⃣ Prepare (Cleanse, Scale, Divide) Data

6️⃣ Regression

7️⃣ Features

8️⃣ Classification

9️⃣ Interpolation

1️⃣0️⃣ Solve Equations

1️⃣1️⃣ Differential Equations

1️⃣2️⃣ Time Series

The 12 modules are a step-by-step guide through the basics of data science.

1. Overview
2. Data Import and Export
3. Data Analysis
4. Visualize Data
5. Prepare (Cleanse, Scale, Divide) Data
6. Regression
7. Features
8. Classification
9. Interpolation
10. Solve Equations
11. Differential Equations
12. Time Series

The 12 modules step through the basics of data science.

1. Overview 2. Data Import and Export 3. Data Analysis 4. Visualize Data 5. Prepare (Cleanse, Scale, Divide) Data 6. Regression 7. Features 8. Classification 9. Interpolation 10. Solve Equations 11. Differential Equations 12. Time Series

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)`.

(:title Data Science 🐍 Python Course:)

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 Begin Python first.

(:title Begin Python 🐍 with TCLab:) (:keywords data, science, learn, tutorial, Jupyter, IPython, introduction, TensorFlow, Keras, gekko, scikit:) (:description Data Science with Python has 12 learning modules and a final project. Source code is available on GitHub:)

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 Begin Python? first.

Data Science 🐍 with Python

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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)`.

You may not always know how to solve the problems initially or how to construct the algorithms. You may not know the function that you need or the name of the property associated with an object. This is by design. You are to search out the information that you might need using help resources, online resources, textbooks, etc.

You will be assessed not only on the ability of the program to give the correct output, but also on good programming practices such as ease of use, code readability and simplicity, modular programming, and adequate, useful comments. Just remember that comments, indentation, and modular programming can really help you and others when reviewing your code.

Temperature Control Lab

The projects are a review of all course material with real data from temperature sensors in the Temperature Control Lab (TCLab). The temperatures are adjusted with heaters that are adjusted with the TCLab. This lab hardware is also used in the Process Dynamics and Control Course and the Dynamic Optimization Course.

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