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Introduction to Python for Data Analytics

COURSE TYPE

Foundation

Course Number

4509

Duration

1 Day

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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.

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

Hands-On Experience:

  • Working with data stored in pandas data frame objects
  • Generating summary statistics with pandas
  • Statistical modeling using NumPy and SciPy
  • Plotting and visualizing data using MatPlotLib, and more ...

Convenient Ways to Attend This Instructor-Led Course

Hassle-Free Enrollment: No advance payment required to reserve your seat.
Tuition due 30 days after you attend your course.

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Private Team Training

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Tuition — Standard: $690   Government: $520

Sep 6 (1 Day)
9:00 AM - 4:30 PM EDT
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Dec 5 (1 Day)
9:00 AM - 4:30 PM EST
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Jan 29 (1 Day)
9:00 AM - 4:30 PM EST
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Jun 4 (1 Day)
9:00 AM - 4:30 PM EDT
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How would you like to attend?

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Guaranteed to Run

Private Team Training

Enrolling at least 3 people in this course? Consider bringing this (or any course that can be custom designed) to your preferred location as a private team training.

For details, call 1-888-843-8733 or Click Here »

Tuition

Standard

Government

In Classroom or
Online

Standard

$690

Government

$520

Private Team Training

Contact Us »

Course Tuition Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.

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Training Hours

Standard Course Hours:
9:00 am – 4:30 pm

Each Course Day:
Informal discussion with instructor about your projects or areas of special interest:
4:30 pm – 5:30 pm

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