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Scientific Python Mastery: Data Analysis for STEM Professionals

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1:36:31

  • 1 -Introduction.mp4
    05:22
  • 1 -Python for Engineers, Scientists and Analysts - Course Companion Document.pdf
  • 2 -Getting Python Up and Running.mp4
    06:40
  • 3 -Your First Command Breathing Life into Python.mp4
    04:47
  • 4 -The Fundamentals Understanding Pythons Data Types.mp4
    07:39
  • 5 -Harnessing the Power of Numbers with NumPy.mp4
    10:46
  • 6 -Decoding Data Working with Pandas and CSV Files.mp4
    06:55
  • 7 -Statistics Simplified Turning Data into Decisions.mp4
    10:40
  • 8 -2019 Bermuda wind simulation.csv
  • 8 -Visual Storytelling with Seaborn Making Data Speak Volumes - Part 1.mp4
    15:05
  • 9 -2019 Bermuda wind simulation.csv
  • 9 -Visual Storytelling with Seaborn Making Data Speak Volumes - Part 2.mp4
    08:21
  • 10 -2019 Bermuda wind simulation.csv
  • 10 -Function Focus Repeatable Code and Making New Data with Simulation.mp4
    07:20
  • 11 -Bringing it All Together Uniting Skills for Real-World Impact.mp4
    12:56
  • Files.zip
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    Course Overview

    Master Python programming specifically designed for engineers, scientists, and analysts. Learn essential data processing, visualization, and analysis techniques used in technical fields.

    What You'll Learn

    • Core Python programming for scientific computing
    • Data analysis with NumPy, Pandas, and Matplotlib
    • Automation of technical workflows and calculations

    Who This Is For

    • Engineers transitioning to Python for technical computing
    • Research scientists analyzing experimental data
    • Technical analysts processing large datasets

    Key Benefits

    • Practical examples from real engineering/scientific scenarios
    • Focus on numerical computing and data visualization
    • Immediately applicable to technical workflows

    Curriculum Highlights

    1. Python fundamentals for technical computing
    2. Scientific data processing and analysis
    3. Automation and visualization techniques
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    Category
    • language english
    • Training sessions 11
    • duration 1:36:31
    • Release Date 2025/04/19