About Course

This beginner-friendly course provides an introduction to Data Science, covering fundamental concepts, tools, and techniques used to extract insights from data. You’ll learn about data collection, cleaning, visualization, and basic machine learning techniques. By the end of this course, you will have a solid foundation in Data Science and be ready to explore more advanced topics.

What Will You Learn?

  • Overview of Data Science and its applications
  • Introduction to data types, structures, and data manipulation
  • Data collection and preprocessing techniques
  • Exploratory Data Analysis (EDA) using visualization tools (Matplotlib, Seaborn)
  • Introduction to statistics and probability for Data Science
  • Basics of machine learning (supervised vs. unsupervised learning)
  • Introduction to Python for Data Science (NumPy, Pandas, Scikit-learn)
  • Fundamentals of data ethics and responsible data handling
  • Career paths and opportunities in Data Science

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