Udemy – Learn Python for Data Science from Scratch – with 10 Projects 2023–11 – Download

Description

Learn Python for Data Science from Scratch – with 10 Projects. Python Learning Course for Data Science from Scratch – with 10 Projects. Harness the power of data with Python! Embark on a transformative journey into the dynamic world of data science with our Udemy course, Learning Python for Data Science From the Beginning. Whether you’re a beginner programmer or looking to improve your skills, this course is your gateway to mastering Python and harnessing its potential in data analysis and machine learning. What you’ll learn:

  • Python Basics: Understand the essentials with a detailed introduction to Python and Jupiter Notebook, culminating in a hands-on project to create a personal calculator program.
  • Master Data Manipulation: Dive into data types and structures and learn the art of sorting with a hands-on project that lays the foundation for your journey into the heart of data science.
  • Visualization magic: Use the power of Matplotlib to create beautiful visualizations and generate line charts and bar graphs from real-world data sets.
  • The Magic of Machine Learning: Explore Scikit-Learn to understand supervised and unsupervised learning, real estate price prediction, customer behavior, and more. Expand your skills with hands-on projects that combine theory and practice.
  • Projects: Complete your learning adventure with 10 exciting projects. From data preparation and model training to evaluation and deployment, you will put your new skills to the test in a real-world scenario.

For whom is that?

  • Beginners who want to enter the exciting field of data science.
  • Professionals looking to transition into data-driven roles.
  • Students and graduates are looking for practical skills for their careers.
  • Enthusiasts explore the potential of Python in data analysis and machine learning.

Ready to start your data science journey? Enroll now and equip yourself with the tools to turn raw data into actionable insights!

What you will learn in the course: Learn Python for Data Science from scratch – with 10 projects

  • Fundamentals of Python Programming for Data Science: Students gain a comprehensive understanding of Python, a programming language widely used in the field of data science.

  • Data manipulation and analysis skills: Participants acquire data management skills by exploring data types (integers, floating point numbers, strings, Booleans).

  • Visualization techniques with Matplotlib: Students develop the ability to visualize data using Matplotlib, a popular data visualization library.

  • Introduction to Machine Learning with Scikit-Learn: This course introduces students to the fundamentals of machine learning using the Scikit-Learn library.

  • At the end of the course, students will have a solid foundation in Python programming, data manipulation, visualization, and the fundamentals of the Lea machine.

This course is suitable for people who

  • This course is designed for people who are interested in getting started in the field of data science and want to build a solid foundation in Python programming for data analysis and machine learning.

Course details: Learn Python for Data Science from scratch – with 10 projects

  • Editor: Udemy
  • Lecturer: Damilare Abolaji
  • Training level: beginner to advanced
  • Training duration: 13 hours and 18 minutes
  • Number of courses: 75

Course headings

Learn Python for Data Science from scratch – with 10 projects

Prerequisites for the course: Learn Python for Data Science from scratch – with 10 projects

  • Basic computer skills.
  • Critical thinking and problem-solving skills.
  • No previous programming experience required

Course pictures

Learn Python for Data Science from scratch – with 10 projects

Sample video of the course

installation Guide

After extracting, you can watch it with your favorite player.

Subtitles: None

Quality: 1080p

Download link

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 2 GB

Download Part 4 – 2 GB

Download Part 5 – 98 MB

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Size

8.09GB

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