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Applied Data Science with Python and Jupyter
Nivå: Foundation
Snittbetyg:
4,39/5 Based on 31 Reviews
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, visualisations, 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.
Nyckelfunktioner:
- After-course instructor coaching benefit
Du kommer lära dig att:
- Jupyter Fundamentals
- Data Cleaning and Advanced Modelling
- Web Scraping and Interactive Visualisations
- Machine learning classification strategy
- Exploratory data analysis and investigation
Välj den utbildningsform som passar dig bäst
LIVE, LÄRARLEDD
I klass & Live, Online-utbildning
- 1-day instructor-led training course
- One-on-one after course instructor coaching
FÖRETAGSINTERN UTBILDNING
Teamträning
- Bring this or any training to your organisation
- Full - scale program development
- Delivered when, where, and how you want it
- Blended learning models
- Tailored content
- Expert team coaching
Anpassa kurs och innehåll efter teamets behov
Kontakta ossUtveckla dig och ditt team med anpassade eller öppna kurser alternativt e-learning
Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .
I klass & Live, Online-utbildning
Note: This course runs for 1 dag
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6 dec 9:00 - 16:30 GMT Online (AnyWare)
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14 mar 9:00 - 16:30 GMT Online (AnyWare)
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13 jun 9:00 - 16:30 BST Online (AnyWare)
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12 sep 9:00 - 16:30 BST Online (AnyWare)
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22 nov 15:00 - 22:30 CCET Ottawa / Online (AnyWare)
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14 feb 15:00 - 22:30 CCET Herndon, VA / Online (AnyWare)
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19 apr 15:00 - 22:30 CCST Ottawa / Online (AnyWare)
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15 aug 15:00 - 22:30 CCST Herndon, VA / Online (AnyWare)
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Kurs med startgaranti
När du ser symbolen för “Guaranteed to Run” vid ett kurstillfälle vet du att kursen blir av. Garanterat.Important Applied Data Science with Python and Jupyter Training Information
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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
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Lesson 1: Jupyter Fundamentals
- Basic Functionality and Features
- Our First Analysis - The Boston Housing Dataset
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Lesson 2: Data Cleaning and Advanced Machine Learning
- Preparing to Train a Predictive Model
- Training Classification Models
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Lesson 3: Web Scraping and Interactive Visualisations
- Scraping Web Page Data
Teamträning
Applied Data Science with Python and Jupyter Training FAQs
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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.