Data Analysis with Python
A complete guide to Data Analysis with Python, covering data manipulation, visualization, statistical analysis, machine learning, automation, and Big Data processing to extract insights and make data-driven decisions.
Requirements:
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- 🔹 Basic Python programming knowledge, including variables, loops, and functions.
- 🔹 Familiarity with Jupyter Notebook, VS Code, or other Python environments (recommended but not required).
- 🔹 Basic understanding of mathematics and statistics, including averages, probability, and linear algebra concepts.
Data Science Masters Course
Data Science is the branch of study that integrates programming abilities, subject-matter expertise, and competence in statistics and mathematics to draw valuable insights from data.
Requirements:
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- Data Science
- Artificial Intelligence (AI)
- MLOps
