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ColumbiaX: Analytics in Python

Learn the fundamental of programming in Python and develop the ability to analyze data and make data-driven decisions.

Analytics in Python
12 semanas
8–10 horas por semana
Al ritmo del instructor
Con un cronograma específico
Este curso está archivado
Se anunciarán próximas fechas

Sobre este curso

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Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data.

The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data.

In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data.

This is an intensive hands-on course that will equip and reward learners with proficiency in data management skills.

De un vistazo

  • Institución: ColumbiaX
  • Tema: Negocios y administración
  • Nivel: Intermediate
  • Prerrequisitos:

    We will review basic Python programming concepts in week 1 and 2 and no prior programming experience is necessary. But, if you have had some exposure to programming you will get more out of this class.

    No specific math capability is required though it will be helpful if you are familiar with the basic concepts of algebra, set theory, and probability.

  • Idioma: English
  • Transcripción de video: English
  • Habilidades asociadas:Data Management, Python (Programming Language), Data Acquisition, Big Data

Lo que aprenderás

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  • Become familiar with working with relational databases, using SQL based languages such as MySql, dealing with formatted data (XML, JSON, etc.)
  • Use Python to work with and analyze data from databases as well as from the web

Plan de estudios

Omitir Plan de estudios
  • Week 1: Python review
  • Week 2: Python review
  • Week 3: Data interchange formats: JSON and XML
  • Week 4: Web scraping and web crawling
  • Week 5: Database basics: Relational databases
  • Week 6: SQL
  • Week 7: Data analysis and visualization I
  • Week 8: Data analysis and visualization II
  • Week 9: Text mining
  • Week 10: Analysis of networks
  • Week 11: Machine learning: Part 1
  • Week 12: Machine learning: Part 2

¿Quién puede hacer este curso?

Lamentablemente, las personas residentes en uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.

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