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IBM: Python Basics for Data Science

4.4 stars
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This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

Python Basics for Data Science
3 semanas
4–10 horas por semana
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Please Note: Learners who successfully complete this IBM course can earn a skill badge —a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python. ~~~~

Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.

You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning, and data visualization with this introductory course.

Premios

Python Basics for Data Science

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  • Institution IBM
  • Subject Análisis de datos
  • Level Intermediate
  • Prerequisites

    Basic Math

  • Language English
  • Video Transcripts اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文

Lo que aprenderás

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  • Learn Python - the most popular programming language and easy to learn for beginners
  • Develop fundamental Python skills for Data Science and Software Development
  • Work with commonly used Python libraries such as Pandas and Numpy
  • Utilize Jupyter Notebooks to develop, experiment with and execute Python code
  • Access and webscrape data using APIs and libraries like Beautiful Soup

Plan de estudios

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Module 1 - Python Basics
Your first program
Types
Expressions and Variables
String Operations

Module 2 - Python Data Structures
Lists and Tuples
Sets
Dictionaries

Module 3 - Python Programming Fundamentals
Conditions and Branching
Loops
Functions
Objects and Classes

Module 4 - Working with Data in Python
Reading files with open
Writing files with open
Loading data with Pandas
Working with and Saving data with Pandas

Module 5 - Working with Numpy Arrays
Numpy 1d Arrays
Numpy 2d Arrays

Este curso es parte del programa DevOps and Software Engineering Professional Certificate

Más información 
Instrucción por expertos
15 cursos de capacitación
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1 año 1 mes
7 - 9 horas semanales

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