Python for Data Analysis

171 Ratings

Course Number: PYTH-130

Duration: 3 days (19.5 hours)

Format: Live, hands-on

Python Data Analyst Training Overview

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

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some Programming courses are available as live, online classes for individuals.

Objectives

  • 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

Prerequisites

All attendees should have basic Python programming skills.

Outline

Expand All | Collapse All

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

Training Materials:

All python training attendees receive comprehensive courseware and a textbook.

Software Requirements:

  • Any Windows, Linux, or macOS operating system
  • Anaconda Python 3.5 or later
  • A text editor or IDE (PyCharm Community Edition recommended)


Very interactive and pertinent training to introduce Python concepts for scientific data analysis.

 Yvonnick L. - Fisheries and Oceans Canada, Ottawa, Canada

Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



Recent Training Locations

Alabama

Birmingham

Huntsville

Montgomery

Alaska

Anchorage

Arizona

Phoenix

Tucson

Arkansas

Fayetteville

Little Rock

California

Los Angeles

Oakland

Orange County

Sacramento

San Diego

San Francisco

San Jose

Colorado

Boulder

Colorado Springs

Denver

Connecticut

Hartford

DC

Washington

Florida

Fort Lauderdale

Jacksonville

Miami

Orlando

Tampa

Georgia

Atlanta

Augusta

Savannah

Hawaii

Honolulu

Idaho

Boise

Illinois

Chicago

Indiana

Indianapolis

Iowa

Cedar Rapids

Des Moines

Kansas

Wichita

Kentucky

Lexington

Louisville

Louisiana

New Orleans

Maine

Portland

Maryland

Annapolis

Baltimore

Frederick

Hagerstown

Massachusetts

Boston

Cambridge

Springfield

Michigan

Ann Arbor

Detroit

Grand Rapids

Minnesota

Minneapolis

Saint Paul

Mississippi

Jackson

Missouri

Kansas City

St. Louis

Nebraska

Lincoln

Omaha

Nevada

Las Vegas

Reno

New Jersey

Princeton

New Mexico

Albuquerque

New York

Albany

Buffalo

New York City

White Plains

North Carolina

Charlotte

Durham

Raleigh

Ohio

Akron

Canton

Cincinnati

Cleveland

Columbus

Dayton

Oklahoma

Oklahoma City

Tulsa

Oregon

Portland

Pennsylvania

Philadelphia

Pittsburgh

Rhode Island

Providence

South Carolina

Charleston

Columbia

Greenville

Tennessee

Knoxville

Memphis

Nashville

Texas

Austin

Dallas

El Paso

Houston

San Antonio

Utah

Salt Lake City

Virginia

Alexandria

Arlington

Norfolk

Richmond

Washington

Seattle

Tacoma

West Virginia

Charleston

Wisconsin

Madison

Milwaukee

Alberta

Calgary

Edmonton

British Columbia

Vancouver

Manitoba

Winnipeg

Nova Scotia

Halifax

Ontario

Ottawa

Toronto

Quebec

Montreal

Puerto Rico

San Juan