Introduction to Data Science for AI
Data science serves as the backbone of artificial intelligence, providing the necessary tools and methodologies to analyze and interpret complex datasets. This course offers an introduction to the essential concepts of data science, focusing on data preparation, exploratory data analysis, machine learning basics, and ethical considerations. By the end of the course, learners will gain a foundational understanding of how data science drives AI innovations and the critical role it plays in decision-making processes across various industries.
15 Lessons
Module 1: Understanding Data Science
Lesson 2: The Data Science Process
Lesson 3: Types of Data
Module 2: Data Preparation and Cleaning
Lesson 2: Data Cleaning Fundamentals
Lesson 3: Data Transformation
Module 3: Exploratory Data Analysis (EDA)
Lesson 2: Summary Statistics
Lesson 3: Data Visualization Techniques
Module 4: Introduction to Machine Learning
Lesson 2: Basic Machine Learning Algorithms
Lesson 3: The Role of Data in Machine Learning
Module 5: Ethical Considerations in Data Science
Lesson 2: Bias and Fairness in Data Science
Lesson 3: The Future of Data Science and AI
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