To start learning about data science, you should take the following steps: Understand basic concepts: Take up a course and learn statistics, probability, and data analysis fundamentals. Learn data manipulation and analysis: Master tools and libraries like Pandas, NumPy, and Matplotlib in Python or Tidyverse in R. Study machine learning: Understand basic machine learning algorithms and principles. Work on projects: Apply your knowledge to real-world datasets in order to gain practical experience. Explore advanced topics: Explore advanced topics like deep learning, big data technologies, and specialized areas of interest. Continuous learning: Stay up-to-date with the latest trends and advancements in the field.
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