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AI, Machine Learning & Data ScienceUdemy2021-1 Edition100% Free Video Course

Data Science Real World Projects in Python

Data Science Real World Projects in Python is a data science course with Python published by Udemy Online Academy. Data science in Python includes the use of the Python programming language along with various libraries and tools to analyze, visualize and interpret data. Python has become a popular choice for data science due to its simplicity, versatility, and the availability of powerful libraries specifically designed for data analysis and machine learning. In this course, you will learn how to use the great potential of Python in data science. Data science is now widely adopted in many sectors such as banking, healthcare, airlines, logistics and technology. Is.These reasons have caused the demand for people with experience in data science to increase. In this educational course, you will get to know data science in depth and understand its basic concepts and principles. There is a different project in this training course and you will get to know the concepts and principles of data science through these projects. There are different types of exercises in this training course that will help you a lot in learning. This course is recommended for people interested in data science. After completing this training course, you will have high knowledge and skills in Python and data science and you will be able to use all the potential of Python in data science.

47 Video Lessons
18.2 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
Data Science Real World Projects in Python
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Course Features:
18.2 hours on-demand video
47 complete lectures
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Basic concepts and principles of data science
A thorough understanding of Python’s capabilities in data science
The work of powerful libraries for data science
Gain practical experience by working on different projects
And …

Course Curriculum47 Lectures

4 sections • 18.2 hours total length

Prefer offline learning? Download all 47 video lectures and project files for free.
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Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

Data Science Real World Projects in Python is a data science course with Python published by Udemy Online Academy. Data science in Python includes the use of the Python programming language along with various libraries and tools to analyze, visualize and interpret data. Python has become a popular choice for data science due to its simplicity, versatility, and the availability of powerful libraries specifically designed for data analysis and machine learning. In this course, you will learn how to use the great potential of Python in data science. Data science is now widely adopted in many sectors such as banking, healthcare, airlines, logistics and technology. Is.These reasons have caused the demand for people with experience in data science to increase. In this educational course, you will get to know data science in depth and understand its basic concepts and principles. There is a different project in this training course and you will get to know the concepts and principles of data science through these projects. There are different types of exercises in this training course that will help you a lot in learning. This course is recommended for people interested in data science. After completing this training course, you will have high knowledge and skills in Python and data science and you will be able to use all the potential of Python in data science.

Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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