Introduction to Python for Data Analytics

Level: Foundation
Rating: 4.3/5 4.27/5 Based on 44 Reviews

Gain the skills you need to analyze and visualize data with Python. In this Python training course, 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

LIVE, INSTRUCTOR-LED

Live, Online Training

  • 1-day instructor-led training course
  • One-on-one after-course instructor coaching
  • Tuition can be paid later by invoice -OR- at the time of checkout by credit card
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Standard $1090

Government $1090

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PRODUCT #4509

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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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Live, Online Training

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Note: This course runs for 1 Day

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Python Programming Blended Training Information

  •  Recommended Experience

    A background in Python programming is helpful, but not required. Familiarity with basic statistics is also useful.

Python Programming Blended Training Outline

  • Working with data stored in pandas data frame objects
  • Generating summary statistics with pandas
  • Statistical modelling using NumPy and SciPy
  • Plotting and visualising data using MatPlotLib

Team Training

Python Programming Training FAQs

  • Who will benefit from this Python Programming training course?

    Anyone interested in the learning the fundamentals of analysing data with Python or those beginning to explore the landscape of data mining and data science, in general.

     

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