Udemy – Data Science with Python and Machine Learning For Beginners 2024-6

Udemy – Data Science with Python and Machine Learning For Beginners 2024-6 Downloadly IRSpace

Apr 18, 2025 - 05:30 Updated: Apr 21, 2025 - 11:54

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Udemy – Data Science with Python and Machine Learning For Beginners 2024-6

Data Science with Python and Machine Learning For Beginners course. In today’s data-driven world, the ability to use and interpret data is not only a valuable skill, but a critical advantage. This comprehensive data science course provides a transformative learning experience for you, whether you are an aspiring data scientist, a seasoned professional looking to expand your skills, or an entrepreneur aiming to use data for strategic decision-making.

The course begins with a review of the basics of data science and introduces you to its principles and importance in various industries. You will understand the difference between data science, data engineering and data analytics and clearly understand the role and application of each. Using case studies and real-life examples, you’ll see how data science is driving innovation and influencing decision-making processes across sectors.

What you will learn

Understanding the fundamental concepts of data science
Understanding the applications and impact of data science on industry
Proficiency in Python and R programming languages for data analysis
Using essential data science libraries such as Pandas, NumPy, Matplotlib and Seaborn
Installing Python and setting up the development environment on Windows and macOS
Understanding the concept of virtual environments and creating and managing them
Getting to know Jupyter Notebook and using it for interactive data analysis
Explore and manipulate data using Pandas DataFrames
Create and manipulate Pandas Series for efficient data management
Load data into Pandas and perform initial data validation and cleaning
Data transformation and analysis using Pandas methods
Data visualization using Matplotlib and Seaborn for insight and reporting
Definition of machine learning and its application in data science
Understand supervised, unsupervised and reinforcement learning techniques
Data preprocessing for machine learning models, including handling of missing values and coding of grouping variables
Building, training and evaluating machine learning models using scikit-learn
Measure model performance using metrics such as accuracy, confusion matrix, and classification report
Deploying machine learning models for real-time predictions and understanding model interpretation techniques

This course is suitable for people who

Future data scientists
Students and graduates
Professionals who are changing career paths
Data analysts and engineers
Entrepreneurs and business owners
Anyone interested in data science

Data Science with Python and Machine Learning For Beginners course specifications

Publisher: Udemy
Instructor: Tech Academy
Training level: beginner to advanced
Training duration: 8 hours and 50 minutes
Number of courses: 122

Course headings

Data Science with Python and Machine Learning For Beginners course prerequisites

Basic Computer Literacy
No prior programming experience required, but familiarity with the basics of programming concepts (e.g., variables, loops, conditional statements) is beneficial.
Access to a computer with internet connectivity.
Ability to install software, including Python and necessary libraries (installation instructions will be provided).
Willingness to learn and explore new tools and technologies (e.g., Jupyter Notebook).