Course Description

Elevate your expertise with our Principles of Data Science course, meticulously designed for the Master of Computer Science (MCS) program. This course empowers aspiring data scientists and computer science professionals to master the foundational principles and practical applications of data science through four comprehensive modules:

  • Introducing Data Science and Data Collection – Explore the essence of data, its collection methods, and the pivotal role of data science in transforming information into actionable insights.
  • Analyzing Data Using Statistics – Apply advanced statistical techniques to uncover patterns, trends, and relationships within complex datasets.
  • Predicting and Modeling Using Data – Develop proficiency in building predictive models and leveraging machine learning to forecast outcomes and inform strategic decisions.
  • Maintaining a Professional and Ethical Data Science Practice – Master best practices for ethical data use, ensuring fairness, transparency, and responsibility in professional settings.

Through hands-on projects, you’ll gain practical skills to analyze, model, and interpret data effectively. Tailored for MCS students, Principles of Data Science equips you with the tools to excel in the rapidly evolving field of data science.

What will i learn?

  • Define the principles of data science and its applications in computer science and industry.
  • Collect, clean, and organize complex datasets for advanced analysis.
  • Apply sophisticated statistical methods to interpret data and derive actionable insights.
  • Build and evaluate predictive models using cutting-edge machine learning techniques.
  • Implement ethical standards in data science, ensuring fairness and transparency in professional practice.
  • Apply advanced data science skills to solve complex problems in academic and industry settings.

Requirements

  • A computer with reliable internet access.
  • Foundational knowledge of computer science and mathematics (e.g., linear algebra, probability, and statistics).
  • Familiarity with programming (e.g., Python or R) is recommended but not mandatory.
  • A commitment to mastering advanced data science concepts.

Frequently asked question

This course is designed for Master of Computer Science students and professionals transitioning into advanced data science roles.

Basic knowledge of computer science concepts is expected, but no specific data science experience is required.

The course is self-paced, typically requiring 8–12 weeks with a weekly commitment of 4–6 hours.

You’ll engage in advanced projects, such as analyzing complex datasets, building sophisticated predictive models, and addressing ethical challenges in data science.

Course Management

$ 0

Lectures

0

Skill level

Intermediate

Expiry period

Lifetime

Certificate

Yes

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