Applied Data Science with Python and Jupyter

Level: Foundation

Attend this Applied Data Science with Python and Jupyter training course and learn about some of the most commonly used libraries that are part of the Anaconda distribution and then explore machine learning models with real datasets. You will also learn about creating reproducible data processing pipelines, visualizations, and prediction models, all with the goal of giving you the skills and exposure you’ll need for the real world.

Data Science is one of the fastest growing professions across all industries. Open source tools like Python have become increasingly popular, and when paired with Jupyter Notebooks, can provide a variety of data-science applications. Attend this one-day hands-on course and learn to leverage all that these powerful tools have to offer.

Key Features of this Applied Data Science with Python and Jupyter Training:

  • After-course instructor coaching benefit

You Will Learn How To:

  • Jupyter Fundamentals
  • Data Cleaning and Advanced Modeling
  • Web Scraping and Interactive Visualizations
  • Machine learning classification strategy
  • Exploratory data analysis and investigation

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

LIVE, INSTRUCTOR-LED

In Class & Live, Online Training

  • 1-day instructor-led training course
  • One-on-one after course instructor coaching
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Standard $900

Government $790

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PRODUCT #1263

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  • Blended learning models
  • Tailored content
  • Expert team coaching

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In Class & Live, Online Training

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Note: This course runs for 1 Day *

*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.

  • Aug 17 9:00 AM - 4:30 PM EDT Online (AnyWare) Online (AnyWare) Reserve Your Seat

  • Sep 14 9:00 AM - 4:30 PM EDT Online (AnyWare) Online (AnyWare) Reserve Your Seat

  • Oct 13 9:00 AM - 4:30 PM EDT Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Reserve Your Seat

  • Nov 9 9:00 AM - 4:30 PM EST Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Reserve Your Seat

  • Dec 14 9:00 AM - 4:30 PM EST New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

  • Jan 11 9:00 AM - 4:30 PM EST Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Reserve Your Seat

  • Feb 8 9:00 AM - 4:30 PM EST Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Reserve Your Seat

  • Mar 22 9:00 AM - 4:30 PM EDT New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

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Partial Day Event

Learning Tree offers a flexible schedule program. If you cannot attend full day sessions, this option consists of four-hour sessions per day instead of the full-day session.

Important Applied Data Science with Python and Jupyter Training Information

  • Requirements

    • Knowledge of programming fundamentals and some experience with Python, including Python libraries, Pandas, Matplotlib, and scikit-learn.

Applied Data Science with Python and Jupyter Training Outline

  • Lesson 1: Jupyter Fundamentals

    • Basic Functionality and Features
    • Our First Analysis - The Boston Housing Dataset
  • Lesson 2: Data Cleaning and Advanced Machine Learning

    • Preparing to Train a Predictive Model
    • Training Classification Models
  • Lesson 3: Web Scraping and Interactive Visualizations

    • Scraping Web Page Data

Team Training

Applied Data Science with Python and Jupyter Training FAQs

  • What does a Python developer do?

    Python developers write the code necessary to develop applications using Python's built-in statements, functions, and collection types. Python is also a very popular language for data analytics.
  • Will I learn how to Program in Python?

    No. This course is intended for people who already know the basics of Python Programming. This course will teach you the basics of Data Analysis.
Online (AnyWare)
Online (AnyWare)
Ottawa / Online (AnyWare)
Herndon, VA / Online (AnyWare)
New York / Online (AnyWare)
Ottawa / Online (AnyWare)
Herndon, VA / Online (AnyWare)
New York / Online (AnyWare)
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