EncartaLabs

Python for Data Analysis

( Duration: 3 Days )

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

By attending Python for Data Analysis workshop, delegates 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 Programming Skills.

COURSE AGENDA

1

Introduction

2

File I/O

  • Opening a file
  • Iterating over lines
  • Reading characters or bytes
  • Reading all lines
  • Formatted output
  • Using fileinput
3

Classes

  • Defining classes
  • Constructors
  • Instance methods and data
  • Class/static methods and data
4

Generators and Other Iterables

  • Iterables
  • Saving memory with generators
  • Generator expressions
  • Generator functions
  • Generator classes
  • Stacking generators
5

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
6

Serializing Data

  • Pickle
  • JSON
  • CSV
  • XML
7

Consuming Data from the Web

  • Web data sources
  • Data via URL
  • RESTful data
  • Screen-scraping
8

Excel Spreadsheets

  • The xlrd, xlwr, and xlutil modules
  • Reading an existing spreadsheet
  • Creating a spreadsheet from scratch
  • Modifying an existing spreadsheet
9

Dates and Times

  • Python date and time objects
  • The time module
  • Using calendars
  • Converting between formats
  • Parsing and printing
  • Time zones
10

Regular Expressions

  • RE syntax overview
  • Basic patterns
  • RE objects
  • Searching and matching
  • Compilation flags
  • Grouping
  • Replacing text
  • Splitting a string
11

Working with Binary Data

  • Isn't all data binary?
  • Binary file handling
  • Parsing raw data
  • Writing a binary stream
12

Analyzing Datasets

  • Sorting data
  • Filtering values
  • Basic statistics
  • Leveraging SciPy/NumPy
  • Using pandas
13

Bigger Data - Working with PyTables

  • About HDF5 data
  • Using PyTables
  • Reading a dataset
  • Pulling data
  • Updating the dataset
  • Writing to HDF5

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 4,000 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting http://encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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