Udemy – Data Science Bundle: 180 Hands-On Projects – Course 1 of 3 2024-11

The Data Science Bundle: 180 Hands-On Projects – Course 1 of 3 is an exciting and practical journey into the world of data science. The first step in a three-step training program, this course is designed to empower you to become a skilled data science professional. Along the way, you’ll build and deploy advanced models in machine learning, artificial intelligence, natural language processing, and other related fields using the Python programming language and powerful web frameworks like Flask and Django.

This course emphasizes hands-on, experiential learning beyond mere theory. You will apply your skills in various areas of data science, including forecasting, classification, and analytics, by completing 180 real-world projects. These projects include topics as diverse as renewable energy generation forecasting, diamond and Ethereum prices, stress levels, brain tumor classification, age and gender detection from X-ray images, COVID-19 detection, DeepFakes detection, sensor data analysis, demand forecasting, and text analytics. In addition to hands-on projects, this course will provide you with a deep understanding of data science theoretical concepts. You will learn how to implement machine learning algorithms from scratch, select appropriate models for different tasks, and use powerful libraries such as SciKit-Learn and Matplotlib to analyze and visualize data.

What will you learn in this course?

• Machine Learning Fundamentals with Python: Master the leading language in data science and learn how to build robust machine learning models.
• Deploying Machine Learning Models: Learn how to deploy machine learning models in real-world, practical environments.
• Choosing the right model: Develop strong intuition for choosing the right machine learning models for different tasks.
• Implementing Algorithms: Implementing popular machine learning algorithms from scratch to gain a deep understanding of their performance.
• Powerful libraries: Use SciKit-Learn and Matplotlib to efficiently perform various machine learning and data visualization tasks.
• Deep Learning and Neural Networks: Introduction to the concepts of deep learning, transfer learning, and neural networks.
• Escalating Projects to the Cloud: Learn how to use cloud platforms like Heroku, AWS, Azure, GCP, IBM Watson, and Streamlit to deploy and scale data science projects.

Who is this course for?

• People interested and beginners in data science
• Students and graduates of fields related to computer science, statistics, and mathematics
• Professionals in other fields who intend to enter the field of data science.
• People looking to enhance their practical skills in data science.

Data Science Bundle: 180 Hands-On Projects – Course 1 of 3 Course Details

• Publisher: Udemy
• Instructor: Pianalytix.
• Training level: Beginner to advanced
• Training duration: 73 hours and 39 minutes
• Number of lessons: 425

Course headings

Prerequisites for Data Science Bundle: 180 Hands-On Projects – Course 1 of 3

• Basic knowledge of data science

Course images

Sample video of the Data Science Bundle course: 180 Hands-On Projects – Course 1 of 3