Watch Applied Data Science (using Python) Video Tutorial


Tutorial Details & Info

Tutorial Title: Applied Data Science (using Python)
Instructor / Channel: Ascendient Learning
Lesson Runtime: 00:13 Minutes
Publish Date: May 15, 2020
Total Students / Views: 187 views

Follow step-by-step with Applied Data Science (using Python) created by Ascendient Learning. This full video course has a total duration of 00:13 minutes providing step-by-step visual instructions. Watch this video tutorial for free 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. We’ll review specialized Python libraries like NumPy, pandas, and scikit. Learn that aid data science practitioners in solving practical problems using supervised, and unsupervised machine learning. Related courses: WA2715 Applied Data Science with Python https://www.webagesolutions.com/courses/WA2715-applied-data-science-with-python Presenter: Mikhail Vladimirov, Director of Curriculum Architecture #datascience #pythonprogramming #NumPy 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

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Explore how to understand Applied Data Science (using Python) with this complete video tutorial guide. In this detailed walkthrough, you will discover practical tips for 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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