Diploma in Data Science

Course Description

The Diploma in Data Science and Analytics allows students to advance their careers while also learning skills for the new digital economy. The curriculum is designed for working professionals and emphasizes collaboration, experiential learning, and team building to solve data-driven challenges.

Students will learn interdisciplinary data collection, data modeling, data visualization, statistical and computational analytics, presentation skills, and how to apply data thinking fundamentals and tools to their work in any industry or sector.

This program focuses on

  • Analyze data statistically to provide a foundation for decision making.
  • Utilize data analysis tools for the analysis of data sets.
  • Create computer programs with python for accessing and manipulating data sets.
  • Create data visualizations to communicate the results of statistical analysis.
  • Using data analysis techniques, analyze real-world problems.
  • Demonstrate your ability to manage a project from design to completion.
  • Self-assurance and mastery of the entire AI algorithm development process (understanding business problem to analytical and mathematical problem, data understanding, data preparation, modelling and evaluation).
  • Knowledge of algorithm development and data visualization tools such as R, Python, and Tableau
  • Extensive hands-on experience developing and applying learning to simple and complex projects involving structured and unstructured data.

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Course Content

  • Analytics With Excel
  • Statistics
  • Python
  • Database Management System
  • Machine learning
  • Data visualization with Power BI
  • R programming
  • Artificial intelligence
  • Deep learning with Python
  • Big Data