What is the syllabus for the Level 3 Diploma in Data Science?

The syllabus for the Level 3 Diploma in Data Science covers a comprehensive range of topics designed to equip students with the skills and knowledge necessary to excel in the field of data science. Below is a detailed breakdown of the syllabus:

• Introduction to Data Science:
  • Definition and importance of data science.
  • Overview of the data science process.
  • Data Collection and Management.
• Statistics for Data Science:
  • Descriptive and Inferential Statistics.
  • Probability theory and distributions.
  • Hypothesis testing.
• Data Analysis Techniques:
  • Exploratory Data Analysis (EDA).
  • Data Visualization Techniques.
  • Data Cleaning and Pre-processing.
• Programming for Data Science:
  • Introduction to Python and R.
  • Data Manipulation using Pandas.
  • Data Visualization libraries like Matplotlib and Seaborn.
• Machine Learning:
  • Overview of Machine Learning techniques.
  • Supervised and Unsupervised Learning.
  • Implementing algorithms using Scikit-Learn.
• Big Data Technologies:
  • Introduction to Big Data.
  • Tools like Hadoop and Spark.
  • Data storage solutions.
• Capstone Project:
  • Practical application of data science knowledge.
  • Working on real-world datasets.
  • Presentation of findings.

The course is designed with a balance of theory and practical application, ensuring students gain a robust understanding of data science.