Python for Data Analysis

PYTH-130 (3 Days)
4.4 out of 5 (64 reviews)  

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Python Data Analyst Training Overview

Accelebrate's Python Programming training for Data Analysis course teaches data analysts how to search, manipulate, and analyze data using the powerful Python programming language.

Location and Pricing

Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.

In addition, some courses are available as live, online classes for individuals. See a schedule of online courses.

Python Data Analyst Training Objectives

All students will learn to:

  • Extract data from binary files or other binary data streams
  • Create data structures using classes and named tuples
  • Search and replace text with regular expressions
  • Read and write CSV and other data formats
  • Serialize data to pickle files, JSON, and XML
  • Consume and process data from the Web
  • Deal with missing data
  • Share data with Excel spreadsheets
  • Analyze data with SciPy/NumPy

Python Data Analyst Training Outline

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Introduction
File I/O
  • Opening a file
  • Iterating over lines
  • Reading characters or bytes
  • Reading all lines
  • Formatted output
  • Using fileinput
Classes
  • Defining classes
  • Constructors
  • Instance methods and data
  • Class/static methods and data
Generators and Other Iterables
  • Iterables
  • Saving memory with generators
  • Generator expressions
  • Generator functions
  • Generator classes
  • Stacking generators
Data Structures
  • How to store data
  • The basics: lists and tuples
  • Named access with dictionaries
  • Named tuples: best of both worlds
  • Using classes as data structures
Serializing Data
  • Pickle
  • JSON
  • CSV
  • XML
Consuming Data from the Web
  • Web data sources
  • Data via URL
  • RESTful data
  • Screen-scraping
Excel Spreadsheets
  • The xlrd, xlwr, and xlutil modules
  • Reading an existing spreadsheet
  • Creating a spreadsheet from scratch
  • Modifying an existing spreadsheet
Dates and Times
  • Python date and time objects
  • The time module
  • Using calendars
  • Converting between formats
  • Parsing and printing
  • Time zones
Regular Expressions
  • RE syntax overview
  • Basic patterns
  • RE objects
  • Searching and matching
  • Compilation flags
  • Grouping
  • Replacing text
  • Splitting a string
Working with Binary Data
  • Isn't all data binary?
  • Binary file handling
  • Parsing raw data
  • Writing a binary stream
Analyzing Datasets
  • Sorting data
  • Filtering values
  • Basic statistics
  • Leveraging SciPy/NumPy
  • Using pandas
Bigger Data - Working with PyTables
  • About HDF5 data
  • Using PyTables
  • Reading a dataset
  • Pulling data
  • Updating the dataset
  • Writing to HDF5
Conclusion
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Lecture percentage

40%

Lecture/Demo

Lab percentage

60%

Lab

Course Number:

PYTH-130

Duration:

3 Days

Prerequisites:

All attendees should have basic Python programming skills.

Training Materials:

All attendees receive comprehensive courseware and a textbook.

Software Requirements:

  • Any Windows, Linux, or Mac OS X operating system
  • Python 2.6, 2.7, or 3.x
  • A text editor or IDE (PyCharm Community Edition recommended)

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

Contact Us Train For Us

Toll-free in US/Canada:
877 849 1850
International:
+1 678 648 3113

Toll-free in US/Canada:
866 566 1228
International:
+1 404 420 2491

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PMB 378
Atlanta, GA 30309-3918
USA

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