Data Science covers a wide range of topics, including:
- Data Collection & Preprocessing: Gathering, cleaning, and transforming raw data for analysis.
- Statistics & Probability: Understanding distributions, hypothesis testing, and statistical models.
- Machine Learning: Supervised and unsupervised learning, classification, regression, clustering, and model evaluation.
- Data Visualization: Using tools like Tableau, Matplotlib, or Power BI to present insights visually.
- Big Data: Working with large datasets using tools like Hadoop or Spark.
- Artificial Intelligence: Advanced algorithms for prediction and automation.
- Programming: Proficiency in languages like Python, R, and SQL for data analysis.
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