To secure a data science internship, you need a combination of foundational skills, practical experience, and strategic job-hunting. Here’s a step-by-step guide: 1. Build Your Foundation • Learn programming languages like Python and R . • Understand statistics, probability, and linear algebra. • Gain proficiency in data manipulation tools (e.g., SQL, Pandas, NumPy ) and visualization tools (e.g., Matplotlib, Tableau ). 2. Develop Key Data Science Skills • Master machine learning frameworks like Scikit-learn or TensorFlow . • Familiarize yourself with big data tools like Hadoop or Spark . • Learn to work with cloud platforms like AWS, Azure, or GCP. 3. Work on Projects • Build real-world projects using public datasets (e.g., Kaggle , UCI Repository ). • Create a portfolio on GitHub showcasing data cleaning, analysis, and predictive modeling. 4. Gain Certifications • Consider certifications in data science, such as: • Google Data Analytics...