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Data Science & Analytics

  • Data analysis and manipulation using Python
  • Working with key libraries like Pandas and NumPy
  • Visualizing and interpreting real-world datasets

Python Programming for Problem Solving

  • Core programming logic and syntax
  • Building problem-solving skills through coding exercises
  • Foundational concepts for further data and software work

  • Fundamentals of relational databases
  • Writing SQL queries for data retrieval and manipulation
  • Basic database design and structuring

Data Science & Statistical Computing

  • Statistical methods used in data analysis
  • Computational techniques for handling data
  • Applying statistics to real-world problem solving

  • Turning raw data into clear visual insights
  • Dashboarding and reporting techniques
  • Storytelling with data for business decisions

Data Analytics & Power BI for Business

  • Using Power BI for business reporting
  • Building interactive dashboards
  • Data-driven decision-making for organizations

  • Building and managing data pipelines
  • Working with large-scale datasets
  • Introduction to big data tools and frameworks

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