Udemy

Data Analysis in Python with Pandas

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  • 5,798 Students
  • Updated 8/2015
3.9
(765 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 49 Minute(s)
Language
English
Taught by
Bill Chambers
Rating
3.9
(765 Ratings)

Course Overview

Data Analysis in Python with Pandas

Getting an introduction to doing data analysis with the Python pandas library with hours of video and code.

Ever wonder how you can best analyze data in python? Wondering how you can advance your career beyond doing basic analysis in excel? Want to take the skills you already have from the R language and learn how to do the same thing in python and pandas?


THEN THIS COURSE IS FOR YOU!


By taking the course, you will master the fundamental data analysis methods in python and pandas!


You’ll also get access to all the code for future reference, new updated videos, and future additions for FREE! You'll Learn the most popular Python Data Analysis Technologies!


By the end of this course:


- Understand the data analysis ecosystem in Python.


- Learn how to use the pandas data analysis library to analyze data sets


- Create how to create basic plots of data using MatPlotLib


- Analyze real datasets to better understand techniques for data analysis


At the end of this course you will have learned a lot of the tips and tricks that cut down my learning curve as a business analyst and as a Master’s Student at UC Berkeley doing data analysis. I designed this course for those that have an intermediate programming ability and are ready to take their data analysis skills to the next level.


You’ll understand cutting edge techniques used by data analysts, data scientists, and other data researches in Silicon Valley.


Complete with working files and code samples, over 5 hours with 40+ lectures you’ll learn all that you need to know to turn around and apply data analysis strategies to the data that you work with. You’ll be able to work along side the instructor as we work through different data sets and data analysis approaches using cutting edge data science tools!

Course Content

  • 7 section(s)
  • 34 lecture(s)
  • Section 1 Introduction to the Course
  • Section 2 IPython Notebooks and Raw Python Data Analysis
  • Section 3 The Basics of NumPy
  • Section 4 Pandas Basics
  • Section 5 pandas Series
  • Section 6 pandas DataFrame
  • Section 7 BONUS: Advanced pandas Topics

What You’ll Learn

  • Perform data analysis with python using the pandas library., Understand some of the basic concepts of data analysis., Have used n-dimensional arrays in NumPy as well as the pandas Series and DataFrames to analyze data., Learned the basics of plotting with matplotlib


Reviews

  • z
    zohar dalumi
    1.0

    no

  • A
    Asaf Gilad
    5.0

    It's a very good course. I knew nothing about python before taking this course. The topics make perfect sense. The instructor is very clear and I found it really easy to follow his instructions. I feel that this was a safe place to jump into the deep water :) ... Thanks

  • A
    Anonymized User
    4.5

    This course is great. The instructor showed us the basic stuff about numpy and pandas. The only thing that drives me crazy sometimes is that because this course was created a few years ago and since then, syntax has changed for certain parts. Most of the time I could figure out the new syntax but sometimes I was stuck. When I asked the question on the Q&A section of each video, I never received a response. Overall, this is a good course.

  • K
    Krzysztof Musialik
    4.5

    Course is good; the only thing i find annoying is instructor fast typing with errors;

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