Here’s an overview of what you might expect to learn in an “Introduction to Data Science in Python” :

1. Python Basics: The course usually starts with an introduction to Python programming for data science. You’ll learn the fundamentals of Python syntax, data types, variables, and control structures.

2. Data Manipulation: You’ll discover how to manipulate and analyze data using Python libraries such as NumPy and pandas. This includes data cleaning, filtering, aggregation, and merging datasets.

3. Data Visualization: Visualization is a crucial aspect of data science. You’ll explore libraries like Matplotlib and Seaborn to create various types of plots and charts to visualize data effectively.

4. Statistical Analysis: The course may cover basic statistical concepts and techniques commonly used in data science, including measures of central tendency, variability, hypothesis testing, and regression analysis.

5. Introduction to Machine Learning: Some courses introduce the fundamentals of machine learning. You might learn about supervised learning, unsupervised learning, and the scikit-learn library.

6. Practical Projects: Hands-on projects and exercises are often included to apply what you’ve learned. These projects may involve data analysis, visualization, and simple machine learning tasks.

7. Data Ethics and Privacy: Ethical considerations related to data collection, privacy, and responsible data use are increasingly important in data science. Some courses touch on these topics.

8. Real-World Applications: You may explore real-world applications of data science in various domains, such as business, healthcare, finance, and social sciences.

9. Programming Challenges: Some courses incorporate coding challenges and quizzes to reinforce your understanding of the material.

10. Final Project: Many introductory data science courses conclude with a final project where you apply your skills to a real-world dataset and present your findings.

11. Certification: Upon completion of the course, you may receive a certificate, which can be a valuable credential for your resume.