Introduction to Python for Data Analytics

Level: Foundation
Rating: 4.4/5 4.41/5 Based on 51 Reviews

Gain the skills you need to analyze and visualize data with Python. In this Python training, you learn the fundamentals of Python programming with a focus on data analytics, and work with popular statistical computing libraries — like numPy, Pandas, sciPy, and Scikit-learn — that allow you to begin analyzing data to answer key business questions.

Key Features of this Python for Data Analytics Training:

  • Attend online or bring this course to your facility
  • After-course instructor coaching

You Will Learn How To:

  • Use Python for statistical data analysis
  • Generate summary statistics with pandas
  • Clean, transform, and reshape data
  • Glean insights from the data through visualization

Choose the Training Solution That Best Fits Your Individual Needs or Organizational Goals

TRAINING AT YOUR SITE

Team Training

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  • Full - scale program development
  • Delivered when, where, and how you want it
  • Blended learning models
  • Tailored content
  • Expert team coaching

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BLENDED LEARNING

On-Demand & Live Review Session

Unlimited annual access to:

  • 12 eBooks
  • 2 on-demand video courses
  • 1-day instructor-led training course
View Bundle Details & Schedule

Standard $1740/Year CAD

Government $1530/Year CAD

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Our FlexVouchers help you lock in your training budgets without having to commit to a traditional 1 voucher = 1 course classroom-only attendance. FlexVouchers expand your purchasing power to modern blended solutions and services that are completely customizable. For details, please call 888-843-8733 or chat live.

Team Training

On-Demand & Live Review Session

Python for Data Analytics Training Information

  • Data Science Blended Training Description

    The eBooks and on-demand courses provided with this offering are a great way to explore your interest in the topics covered in the instructor-led course. At any time during your annual access to this offering, you may attend one of our 1-day review sessions, Course 4509: Introduction to Python for Data Analytics.

Course Outline & On-Demand Training Content

  • eBooks

    • Managing Data Science
    • Hands-On Data Analysis with Pandas
    • Hands-On Python Natural Language Processing
    • Data Science Algorithms in a Week - Second Edition
    • Machine Learning for Algorithmic Trading - Second Edition
    • Hands-On Neural Networks
    • Mastering Machine Learning Algorithms - Second Edition
    • Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
    • Hands-On Data Science for Marketing
    • Python Feature Engineering Cookbook
    • Artificial Intelligence By Example - Second Edition
    • Hands-On Machine Learning on Google Cloud Platform
  • On-Demand Videos

    • Exploratory Data Analysis with Pandas and Python 3.x
    • Advanced Data Structures and Algorithms in Python

One Day Instructor-Led Review

You'll be able to register for a Training Review Session at any time after you've placed your order.

  • May 11 (1 Day)
    9:00 AM - 4:30 PM EDT
    Online (AnyWare) Online (AnyWare)
  • Aug 17 (1 Day)
    9:00 AM - 4:30 PM EDT
    Online (AnyWare) Online (AnyWare)
  • Nov 16 (1 Day)
    9:00 AM - 4:30 PM EST
    Online (AnyWare) Online (AnyWare)
  • Jan 31 (1 Day)
    9:00 AM - 4:30 PM EST
    Online (AnyWare) Online (AnyWare)
  • May 9 (1 Day)
    9:00 AM - 4:30 PM EDT
    Online (AnyWare) Online (AnyWare)

Important Python for Data Analytics FAQs

  • What background do I need?

    Just an interest in gaining foundational knowledge of data science. This data scientist training course is designed for technical and non-technical beginners.

  • What on-demand content will I receive?

    An outline of the content you will receive can be seen above. 
  • How will I access my course materials if I choose this method?

    Once payment is received, you will receive an email from Learning Tree with all the links and information you need to get started.
  • How can I sign up for a review session?

    Once you are enrolled in the program, specific details and dates will be sent to you.

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