Free Download Applied Python for Data Science and Analytics
Published 4/2024
Created by Jeff James
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 30 Lectures ( 6h 15m ) | Size: 3.73 GB
Ditch the Fluff, Embrace the Challenge: Master Python for Real-World Data Science and Analytics
What you'll learn:
Moving beyond basic Python tutorials into solving complex and practical problems
Mastering both Python and Pandas, while being fluent enough to let AI help you solve problems
Parsing natural language, structured data and analyze any kind of data you may encounter in business or research
Develop confidence in problem solving and your ability to think through a problem
Using AI as a Copilot as we get into progressively complex problem solving
Requirements:
Understanding the basics of Python
A Google account to use Colab Notebooks
Have some appreciation for problems data scientists and analyst must solve on a daily basis.
Description:
Unlock the Power of Python for Real-World Data Science and AnalyticsAre you ready to take your Python skills to the next level and tackle real-world data science and analytics challenges? Look no further than "Applied Python for Data Science and Analytics," a comprehensive Udemy course designed to bridge the gap between memorization and practical problem-solving.In this course, you'll learn from Jeff James, a senior machine learning engineering manager with 15 years of applied data analytics and coding experience, who has also taught at the University of Denver. Andrew will guide you through the complexities of the Python standard library, Pandas, SciPY, and powerful machine learning libraries like scikit-learn, empowering you to solve open-ended problems with confidence.Throughout the course, you'll dive deep into real-world scenarios, learning how to approach and solve challenges that go beyond the typical "table of contents" style video courses. You'll gain hands-on experience working with diverse datasets, applying advanced analytical techniques, and leveraging the full potential of Python's data science ecosystem.Whether you're a data analyst, aspiring data scientist, or a developer looking to expand your skill set, this course will equip you with the tools and knowledge you need to excel in the field. You'll learn how to:- Effectively utilize the Python standard library for data manipulation and analysis- Harness the power of pandas for efficient data wrangling and exploration- Apply statistical techniques using SciPY to gain deeper insights from your data- Implement machine learning algorithms using scikit-learn to solve real-world problems- Develop a problem-solving mindset to tackle open-ended challenges in data science and analyticsBy the end of this course, you'll have a robust portfolio of projects showcasing your ability to apply Python to real-world data science and analytics problems. You'll be ready to take on complex challenges, drive data-driven decision-making, and make a tangible impact in your organization.Don't miss this opportunity to learn from an experienced industry professional and elevate your Python skills to new heights. Enroll now in "Applied Python for Data Science and Analytics" and unlock your full potential in the world of data science and analytics!
Who this course is for:
Data Analysts and Data Scientists
Beginner Python Developers that want to develop deeper skills
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