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Free Data Science in Python Course

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  • Get hands-on project experience by working on a movie recommendation system project.
  • Access to recorded videos of 1 complete project.
  • Learn Data Science by working on real problem solving project.
  • Start coding from the first few minutes. No time wasted on slides and theory.

About Introduction to Data Science in Python Course

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Solve Full Case Study

Access to recorded videos solving a complete case study of movie recommendation system.

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Online Python Lab

Access to online lab where you can run and practice your python programs. This is a browser based coding environment which allows you to follow the instructor step by step.

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Discussion Forum

Interact with other students to troubleshoot your issues while solving this case study.

Benefits of Introduction to Data Science in Python

How will this Introduction to Data Science in Python Training Benefit me?

  • How to write programs in Python
  • How to use different data types in Python
  • How to implement euclidean distance algorithm

Introduction to Data Science in Python Course Curriculum

Project 1

Finding Similar Movie Critics - Recommendation System

We are having a small data set of movie critics with their reviews/ratings for different movies. We will be building an algorithm using the basic concepts of python programming. It will find similar to a given critic's name based on their movie reviews.

  • Variable declaration, assigning values to the variables and using print function.
  • Conditional and loop statements - Use of if and for
  • Use of different data types and handling the data
  • Functions and use of user defined functions
  • Euclidean Distance Algorithm

Enrollment for Introduction to Data Science in Python

 
  • Access to recordings of 1 full solved case study
  • Access to online lab to work on your Python project
  • Learn from industry expert
  • Total Fees $0
    Pay as little as $66/month for 6 months, during checkout with PayPal
  • Enroll
 

Introduction to Data Science in Python Course Reviews

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Introduction to Data Science in Python short tutorials

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  • What will be the output of the following code- DeZyre_DataScience_List = [1, 20, 3, 40, 5, 60]; DeZyre_DataScience_List.append ([“45”,”55”]);?

    On executing the above python list append function both the values will be appended at the end of the list as a single element only. When using append for python lists, regardless of whether you have a single element or multiple elements- it will be added as a single element. To confirm this you can just try to print the length of the DeZyre_DataScience_List after executing the python list append function as shown above.

    Print (“Number of Elements in the List is: len (DeZyre_DataScience_List));

    Output:

    Number of Elements in the List is: 7

  • How do Random Forest Works?

    Random forests are a combination of tree predictors such that each tree depends on the values of a random vector sampled independently and with the same distribution or all trees in the forest. The generalization error for forests converges as to a limit as the number of trees in the forest becomes large. The generalization error of a forest of tree classifiers depends on the strength of the individual trees in the forest and the correlation between them.

  • How do Random Forest Works?

    Random forests are a combination of tree predictors such that each tree depends on the values of a random vector sampled independently and with the same distribution or all trees in the forest. The generalization error for forests converges as to a limit as the number of trees in the forest becomes large. The generalization error of a forest of tree classifiers depends on the strength of the individual trees in the forest and the correlation between them.