Honors Diploma in
Data Analytics


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Honors Diploma in Data Analytics

DURATION: 12 MONTHS

Most businesses collect large volumes of data every day, but raw data on its own means very little. Data analytics is the process of turning that raw data into meaningful, actionable insight that drives smarter business decisions.

This 12-month Honors Diploma is delivered across two semesters. Semester 1 builds your analytical core — advanced data analysis in Microsoft Excel, programming for data analytics with Python, and numerical computing and data handling using NumPy, Pandas and Matplotlib.

Semester 2 moves into professional practice — statistical analysis and visualization with R, business intelligence dashboards with Power BI, and a Data Analytics Capstone Project where you apply the full workflow to a real-world dataset and present your findings to a panel.

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Course Learning Outcomes

  • Gather, clean, and prepare data for analysis.
  • Perform advanced data analysis and modelling in Microsoft Excel.
  • Write Python programs to access, manipulate and automate work with data sets.
  • Use NumPy and Pandas for numerical computing and large-scale data handling.
  • Build clear, accurate charts with Matplotlib and R.
  • Apply statistical techniques in R to draw meaningful conclusions.
  • Design interactive business intelligence dashboards in Power BI.
  • Create compelling visualizations that communicate insights to non-technical audiences.
  • Analyze real-world business problems using structured data analysis techniques.
  • Develop actionable recommendations based on data findings.
  • Manage a data analytics project from design through to delivery.
  • Present a complete capstone project demonstrating the full analytics workflow.

Career Opportunities

Upon successful completion of our Honors Diploma in Data Analytics, you'll be well-prepared for diverse roles, including:

📊

Data Analyst

Turn raw business data into insight that supports decision-making

💼

Business Intelligence Analyst

Build Power BI dashboards and reporting for management teams

🔍

Market Researcher

Analyze market trends and consumer behavior

📈

Reporting & MIS Analyst

Automate recurring reports and maintain data quality

🧭

Business Analyst

Bridge technology and business strategy

Course Content

Honors Diploma
Semester – 1
6 Months
Module 1
❯ Advanced Data Analysis with Microsoft Excel
Module 2
❯ Programming for Data Analytics with Python
Module 3
❯ Numerical Computing and Data Handling with NumPy, Pandas and Matplotlib
Honors Diploma
Semester – 2
6 Months
Module 4
❯ R for Data Analysis and Visualization
Module 5
❯ Business Intelligence with Power BI
Module 6
❯ Data Analytics Capstone Project

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