[Linkedin] Python: Data Analysis

Course by: Michele Vallisneri

Course Info

  • Duration: 2h 16m 20s
  • Skill Level: Intermediate
  • Released: November 12, 2015
  • Viewers: 100,458

Learn the most in-demand business, tech and creative skills from industry experts.

Course details

If you’re going to work with big data, you’ll probably be using R or Python. And if you’re using Python, you’ll be definitely using Pandas and NumPy, the third-party packages designed specifically for data analysis. This course provides an opportunity to learn about them. Michele Vallisneri shows how to set up your analysis environment and provides a refresher on the basics of working with data containers in Python. Then he jumps into the big stuff: the power of arrays, indexing, and DataFrames in NumPy and Pandas. He also walks through two sample big-data projects: one using NumPy to analyze weather patterns and the other using Pandas to analyze the popularity of baby names over the last century. Challenges issued along the way help you practice what you’ve learned.

Instructor

  • Michele Vallisneri

    Michele Vallisneri

    Director’s Fellow at JPL (NASA’s Jet Propulsion Laboratory)

    Learn MoreShow lessView on LinkedIn

    Michele Vallisneri is a theoretical astrophysicist at NASA Jet Propulsion Laboratory.

    He obtained his PhD in physics at the California Institute of Technology in 2002. His research spans the detection and interpretation of gravitational waves with LIGO, in space, and with pulsar timing. He is an expert in data analysis, Bayesian inference, and computational physics, and he believes that elegant, transparent programming can illuminate the hardest problems. He is a Fellow of the American Physical Society, and he was awarded the NASA Exceptional Scientific Achievement Medal.

    View all courses by Michele Vallisneri

100,458 Viewers watched this course

What they do

  • Research Fellow
  • Software Developer
  • Student
  • Software Developer
  • Research Fellow

Where they work

  • IBMIBM
  • AccentureAccenture
  • Tata Consultancy ServicesTata Consultancy Services
  • EYEY
  • CognizantCognizant

Skills covered in this course

  • NumPy
  • Object-Oriented Programming (OOP)
  • Python (Programming Language)
  • Big Data

Size: 363.66M


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One Comment

  1. Shubh Saxena May 8, 2019 Reply

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