These are some of the popular books and online courses where you need to start learning data science. Books : “Python for Data Analysis” by Wes McKinney “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron “Introduction to Statistical Learning” by Gareth James et al. (free online version available) Online Courses: Coursera: “ Data Science Specialization ” by Johns Hopkins University, or “Machine Learning” by Andrew Ng. edX: Data Science MicroMasters Program (e.g., from UC San Diego). Kaggle Learn: Hands-on mini-courses on topics like Python, machine learning, and data visualization . Other tips to consider: Join LinkedIn groups or local meetups related to data science. Contribute to open-source projects on GitHub. Start applying for internships or junior roles, even if you have to start with less technical positions to build experience. Some of the key takeaways: Focus on core programming, statistics, and data manipulation first. Build a portfol...