Technology and Digital

Introduction to Python for Data Science Course

Teaches: Tanya Ramirez - Data Scientist - Uber for Latam Countries

  • Intermediate
  • 24138 students
  • 4.5
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Online course description

In this course, you will learn the basics of Python, and the basis for analyzing data using this programming language. To do so, you will learn about the types of variables, expressions and operations with text, and how to create the first variables and the different types of data. Likewise, the different Python structures, the operations that can be performed, how to install packages, and how to import and export data will be explained. Finally, the basic concepts to perform an exploratory data analysis will be defined.

What will I learn?

At the end of the course, the student will be able to learn the basics of Python and the basics of how to analyze data using this programming language.

Who is it aimed at?

General public, interested in learning Python in order to develop analytical and modeling skills.

Requirements

none

Content of the course Introduction to Python for Data Science

  • Module 1Introductionto Python

    3 Capsules 00:17:42

    • Capsule 1: Teacher's presentation
      Free View
    • Capsule 2: What is Python and how do I use it?
      Premium Access
    • Capsule 3: Operations with variables
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  • Module 2Data Structuresin Python

    3 Capsules 00:21:16

    • Capsule 1: Lists
      Premium Access
    • Capsule 2: Operations with lists
      Premium Access
    • Capsule 3: Dictionaries
      Premium Access
  • Module 3Programmingin Python

    3 Capsules 00:24:46

    • Capsule 1: Conditions and loops
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    • Capsule 2: Functions
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    • Capsule 3: Function Packs
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  • Module 4Importingand exporting data

    3 Capsules 00:19:44

    • Capsule 1: Opening and saving data
      Premium Access
    • Capsule 2: Opening and saving data using Pandas
      Premium Access
    • Capsule 3: Introduction to data tables
      Premium Access
  • Module 5Introductionto exploratory data analysis

    3 Capsules 00:22:13

    • Capsule 1: Data preparation
      Premium Access
    • Capsule 2: Exploratory analysis
      Premium Access
    • Capsule 3: Visualization
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Final examTo obtain your course pass certificate, you will have 2 attempts per day to pass a multiple-choice exam with more than 70%.

About our expert

Tanya Ramirez teacher of the course Introduction to Python for Data Science

Tanya Ramirez

Data Scientist - Uber for Latam countries

She holds a Master's degree in Data Science from the University of Essex in the United Kingdom, and a Bachelor's degree in Mathematics/Actuarial Science from the Instituto Tecnológico Autónomo de México. She started her career in consulting, specializing in analytical solutions consulting in various industries such as finance, consumer and mining. She currently works as a data scientist at Uber for Latam countries.

Get certified and boost your career

On behalf of Saint Ignatius University
Optional certificate template for our course*San Ignacio University will certify all NETZUN students.

About the institutions

Netzun - online courses
Edtech company, founded in 2015 and specialized in virtual education based on the 'microlearning' methodology. Its purpose is to democratize the knowledge of extraordinary people throughout Latin America.
San Ignacio University certifies our courses
San Ignacio University is a U.S. university that stands out for offering a unique and cutting-edge academic experience. It has a highly qualified faculty committed to academic excellence and the integral development of its students.

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BENEFITS

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  • Downloadable materials
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  • Certificate of Completion
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