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Diploma in Data Analytics

The Diploma in Data Analytics is a practical, industry-aligned program aimed at equipping learners with essential skills…

The Diploma in Data Analytics is a practical, industry-aligned program aimed at equipping learners with essential skills in the rapidly growing field of data analytics. This course introduces the fundamentals of data handling, descriptive and inferential statistics, programming for analytics (commonly Python or R), data visualization, database management (SQL), and the use of analytics tools for business and technology applications.

Through a balanced mix of theoretical instruction and hands-on assignments, students learn to gather, clean, analyze, and present data to drive data-driven decision-making. The curriculum builds core abilities in statistical thinking, critical analysis, machine learning basics, and report generation, preparing graduates for entry-level roles in analytics, business intelligence, and digital transformation across multiple sectors.

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What Will You Learn?

  • Core concepts of data analytics and its application in real-world scenarios
  • Basics of probability, statistics, data distributions, and hypothesis testing
  • Data management: data collection, cleaning, transformation, and storage
  • Programming for analytics (Python or R): variables, functions, libraries, and scripts
  • Database querying (SQL), data extraction, and manipulation
  • Data visualization: charts, dashboards, and presentation with Excel, Power BI, or Tableau
  • Exploratory data analysis and identifying patterns
  • Introduction to predictive analytics and simple machine learning models
  • Business analytics use-cases in sectors like finance, marketing, retail, and healthcare
  • Ethical considerations and data privacy basics

Course Curriculum

Introduction to Data Analytics

Statistics and Probability Basics

Data Collection and Cleaning

Programming for Analytics (Python/R Basics)

Databases and SQL

Data Visualization

Exploratory Data Analysis & Patterns

Introduction to Predictive Analytics

Capstone Project & Assessment

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