Watch Applied Data Science using Python Video Tutorial


Tutorial Details & Info

Tutorial Title: Applied Data Science using Python
Instructor / Channel: Ascendient Learning
Lesson Runtime: 44:12 Minutes
Publish Date: April 13, 2019
Total Students / Views: 407 views

Master the concepts in Applied Data Science using Python created by Ascendient Learning. The total lesson runtime is 44:12 minutes providing step-by-step visual instructions. Access this full online lesson on any desktop PC, Mac, tablet, or smartphone.

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Course Description & Lesson Notes

Official Video Description:

Learn how to use Python in the realm of applied data science. Python leverages specialized libraries like NumPy, pandas, and scikit-learn to aid data science practitioners in solving problems related to regression, sample classification, and clustering. Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Related courses: WA2715 Applied Data Science with Python https://www.webagesolutions.com/courses/WA2715-applied-data-science-with-python Big Data Training and Courseware https://www.webagesolutions.com/courses/big-data-training #datascience #pythonprogramming #scikit WEB AGE SOLUTIONS - IT TRAINING FOR ENTERPRISES You are the expert in your industry. We're the experts in technical training. Our world-class instructors offer training for a multitude of industries. https://bit.ly/WebAgeSolutions 👈 Web Age Solutions is an IT training company serving large-scale enterprise clients including Fortune 500 companies. Learn about our custom instructor-led training https://bit.ly/customtrainingsolutions 💻 We maximize your training ROI while minimizing time away from work with multiple training options. Web Age Solutions has been in business for 23 Years and worked with 8,503 satisfied clients delivering 201,230 trainings so far. We support your team with a range of trusted learning solutions Reach out for more about how we can help meet your training goals https://bit.ly/WebAgeContact 📧 Since 1999, Web Age Solutions has been committed to helping our clients thrive. Whether that’s through off-the-shelf courses or fully customized programs, we tailor our offerings to meet client needs. As a result, we’ve had the privilege of working with some of the biggest names in business in a range of industries, including TELUS, Nokia, UPS, and Comcast. Serving clients throughout North America, Africa, Australia, Europe, and the Middle East, we offer flexibility, ease, and peace of mind. Here’s what makes us stand out from the others: https://bit.ly/AboutWebAge 🏆 Follow Web Age on social: Twitter https://twitter.com/WebAgeSolutions LinkedIn https://www.linkedin.com/company/web-age-solutions/ Facebook https://www.facebook.com/WebAgeSolutions Subscribe & turn on notifications! CONTACT US USA 1-877-517-6540 getinfousa@webagesolutions.com Canada 1-877-812-8887 getinfo@webagesolutions.com 0:00 Introduction 0:42 Introduction 1:04 Overview of Talk 3:24 Data Science, Machine Learning, AI? 5:32 Data Science Skill Sets Venn Diagram 8:39 Data Analytics Pipeline 13:38 Python Data Science Libraries 16:00 Numpy Select Operations 24:57 Handling Missing Data with pandas 26:35 The scikit-learn Package 28:02 The scikit-learn Estimators 29:58 Data Split for Training and Test Data Sets 33:34 K-Means Example 41:42 Applied Data Science Using Python

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Applied Data Science using Python taught by Ascendient Learning. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Applied Data Science using Python.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Ascendient Learning with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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