All in One Offer! | Access Unlimited Courses in any category starting at just $29. Offer Ends in:

Browse Library

  • Business Solutions
  • Become an Instructor
  • 0
    Shopping Cart

    Your Cart is empty. Keep shopping to find a course!

    Browse Courses
Get Unlimited Learning Access
$29
2 days left at this price!
30-Day Money-Back Guarantee

This plan includes

  • Instant access to 11,000+ online courses
  • Play & Pause Course Videos
  • HD Video Recorded Lectures
  • Learn on Mobile/PC/Tablet
  • Quizzes and Real Projects
  • Lifetime Course Certificate
  • Instructor Chat Support
  • Cancel Plan Anytime
Subscribe to Learnfly’s top courses
Get this course, plus 11,000+ of our top-rated courses for one year with Go Annually Plan.
$348 $244 a year Save 30%
2 days left at this price!
30-Day Money-Back Guarantee

This plan includes

  • Instant access to 11,000+ online courses
  • Play & Pause Course Videos
  • HD Video Recorded Lectures
  • Learn on Mobile/PC/Tablet
  • Quizzes and Real Projects
  • Lifetime Course Certificate
  • Instructor Chat Support
  • Cancel Plan Anytime
$29
$244
  • Visualize data to understand relationships and assess data quality
  • Understand the differences between classification, regression, and clustering and when each can be applied
  • Detect overfitting and implement strategies to improve prediction
  • Understand engineering and business objectives to plan applications
  • Implement data science techniques successfully to complete a project

These modules are intended to help you develop data science and machine learning skills in Python. The 12 modules have video tutorials for each exercise with solutions for each exercise. One of the unique things about these modules is that you work on basic elements and then test your knowledge with real data exercises with a heat transfer design project. You will see your Python code have a real impact by designing the materials for a new product.

One of the best ways to start or review a programming language is to work on a project. These exercises are designed to teach data science Python programming skills. Data science applications are found across almost all industries where raw data is transformed into actionable information that drives scientific discovery, business innovations, and development. This project is to determine the thermal conductivity of several materials. Thermal conductivity is how well a material conducts or insulates against heat transfer. The specific heat transfer project shows how to apply data science to solve an important problems with methods that are applicable to many different applications.

Objective: Collect and analyze data from the TCLab to determine the thermal conductivity of three materials (metal, plastic, and cardboard) that are placed between two temperature sensors. Create a digital twin that predicts heat transfer and temperature.

To make the problem more applicable to a real situation, suppose that you are designing a next-generation cell phone. The battery and processor on the cell phone generate a lot of heat. You want to make sure that the material between them will prevent over-heating of the battery by the processor. This study will help you answer questions about material properties for predicting the temperature of the battery and processor.

Topics

There are 12 lessons to help you with the objective of learning data science in Python. The first thing that you will need is to install Python to open and run the IPython notebook files in Jupyter. There are additional instructions on how to install Python and manage modules. Any Python distribution or Integrated Development Environment (IDE) can be used (IDLE, Spyder, PyCharm, and others) but Jupyter notebook or VSCode is required to open and run the IPython notebook (.ipynb) files. All of the IPython notebook (.ipynb) files can be downloaded. Don't forget to unzip the folder (extract the archive) and copy it to a convenient location before starting.

  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 T1 to the other temperature sensor T2.

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. If you do not have a TCLab module, use the digital twin simulator by replacing TCLab() with TCLabModel().

  • Students need access to a computer where they can install Python or an Internet browser where they can run Google Colab..
  • There is an optional TCLab device that is needed for the course. Without the TCLab, use the simulator TCLabModel() whereever TCLab() is called.
  • Beginner Python developers interested in Data Science
  • Aspiring and experienced scientists and engineers
  • Students and professionals who want to adopt Data Science in practice
View More...
  • Section 1 : Course Introduction 2 Lectures 00:18:10

    • Lecture 1 :
    • Lecture 2 :
    • Install Python and Data Science
  • Section 2 : Import Data, Basic Statistics, Visualize 5 Lectures 00:12:08

    • Lecture 1 :
    • Install and Overview (Module 1)
    • Lecture 2 :
    • Import and Export Data(Module 2)
    • Lecture 3 :
    • Summarize with Statistics(Module 3)
    • Lecture 4 :
    • Visualize Data(Module 4)
    • Lecture 5 :
    • Knowledge Check
    • Knowledge Check
  • Section 3 : Regression and Classification 5 Lectures 00:15:23

    • Lecture 1 :
    • Prepare Data (Module 5)
    • Lecture 2 :
    • Regression (Module 6)
    • Lecture 3 :
    • Features (Module 7)
    • Lecture 4 :
    • Classification ( Module 8)
    • Lecture 5 :
    • Knowledge Check
    • Knowledge Check
  • Section 4 : Interpolation and Dynamics 5 Lectures 00:27:13

    • Lecture 1 :
    • Interpolation(Module 9)
    • Lecture 2 :
    • Solve Equations (Module 10)
    • Lecture 3 :
    • Differential Equations (Module 11)
    • Lecture 4 :
    • Time Series(Module 12)
    • Lecture 5 :
    • Knowledge Check
    • Knowledge Check
  • How do i access the course after purchase?

    It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.
  • Are these video based online self-learning courses?

    Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
  • Can i play & pause the course as per my convenience?

    Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
  • How do i contact the instructor for any doubts or questions?

    Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
  • Do i need a pc to access the course or can i do it on mobile & tablet as well?

    Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly.
  • Do i get any certificate for the courses?

    Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
  • For how long can i access my course on the platform?

    You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions.
  • Is there any free trial?

    Currently, we do not offer any free trial.
  • Can i cancel anytime?

    Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?

568240 Course Views

1 Courses

  • Unmatched Variety and Value!
    Learnfly's monthly subscription offers unlimited access to a vast range of courses. Affordable pricing, compared to competitors, makes it the ultimate choice for continuous learning.
    Jessica M.

    4.7

    JM
  • Top-Notch Quality, Affordable Rates!
    High-quality courses with certified instructors make Learnfly stand out. The affordable pricing is a game-changer for those seeking premium education.
    Alex P.

    4.5

    AP
  • Certified Excellence Every Time!
    Learnfly's courses, taught by certified instructors, ensure top-notch learning experiences. The course completion certificates add significant value to one's skill set.
    Sarah R.

    4.3

    SR
  • Round-the-Clock Support!
    Learnfly goes the extra mile with 24/7 course support. Their dedication to helping students succeed is commendable.
    Ryan K.

    4.1

    RK
  • Learn Anywhere, Anytime!
    Whether on mobile, PC, or tablet, Learnfly's platform offers flexibility. Learning on the go has never been easier.
    Emily S.

    4.7

    ES
  • Job-Ready Skills!
    Learnfly's job-oriented courses equip learners with practical skills for the workplace. An investment in career growth!
    Jake M.

    4.2

    JM
  • Budget-Friendly Brilliance!
    Learnfly's pricing is a steal for the quality and variety of courses offered. Quality education without breaking the bank.
    Olivia T.

    4.5

    OT
  • Instructor Excellence Unleashed!
    Learn from the best with Learnfly's certified instructors. The platform ensures that knowledge is imparted by industry experts.
    Daniel L.

    4.0

    DL
  • Achievement Unlocked!
    Learnfly not only offers courses but also recognizes your efforts with course completion certificates. A sense of accomplishment with every course finished.
    Maya H.

    4.6

    MH
  • Learning Revolution!
    Learnfly's platform is a revolution in education. Access to unlimited courses at affordable rates is a game-changer.
    Ethan W.

    4.7

    EW
  • big-data-pipeline-applied-to-ufos

    Big Data Pipeline Applied to UFOs

    By : Eduardo Morelli

    Lectures 6 Beginner 0:16:47
  • git-and-github-version-control-the-complete-startup-guide

    Git and GitHub Version Control - Th...

    By : Abhilash Nelson

    Lectures 15 Beginner 1:34:6
  • statistics-for-data-scientists-and-data-analysts

    Statistics for Data Scientists and ...

    By : Phikolomzi Gugwana

    Lectures 31 Intermedite 0:36:49
  • big-data-and-hadoop

    Big Data and Hadoop

    By : Saheb Singh chaddha

    Lectures 26 Beginner 0:1:29
  • technical-writing-how-to-write-software-documentation-using-dita-xml

    Technical Writing: How to Write Sof...

    By : Jordan Stanchev

    Lectures 21 Beginner 3:35:45
  • apache-nifi-the-complete-guide-part-1

    Apache NiFi - The Complete Guide (P...

    By : Manoj G T

    Lectures 19 Beginner 1:23:18

Students learning on Learnfly works with Fortune 500 companies around the globe.

Sign Up & Start Learning
By signing up, you agree to our Terms of Use and Privacy Policy
Reset Password
Enter your email address and we'll send you a link to reset your password.