Professional Degree in Information Technology
Project Management (DPM102)
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Introduction to Data Analytics (BDP206) provides you with the essential skills to interpret, manipulate, and analyze data for meaningful business insights. You'll explore core topics like data structures, file formats, collection methods, and statistical foundations — building the groundwork for effective data-driven decision-making.
Gain practical experience through data cleaning and transformation exercises, visualization and summary labs, and real-world analysis projects across operations, finance, and marketing. This course empowers you to apply descriptive and inferential statistics confidently and develop analytical thinking for solving business problems.
Learn how data informs smarter decisions in today’s digital world.
Learn how data informs smarter decisions in today’s digital world.
Explore core analytics concepts used in business and operations.
Explore core analytics concepts used in business and operations.
Analyze and present data using charts, graphs, and dashboards.
Transform, analyze, and visualize data to support smarter decision-making.
Use practical data techniques to solve real-world business problems.
Use practical data techniques to solve real-world business problems.
Turn raw data into clear insights with statistical thinking.
Turn raw data into clear insights with statistical thinking.
Master the art of preparing clean, usable data sets.
Master the art of preparing clean, usable data sets.
Transform data into actionable business intelligence.
Transform data into actionable business intelligence.
Apply descriptive and inferential statistics to real data.
Apply descriptive and inferential statistics to real data.
Gain real experience through guided analysis and reporting tasks.
Gain real experience through guided analysis and reporting tasks.
Collect, format, and reshape data for analysis and modeling.
Collect, format, and reshape data for analysis and modeling.
Students dive into hands-on data analytics projects — collecting, cleaning, and transforming datasets to uncover meaningful insights. Captured moments show learners working with spreadsheets, exploring file formats and schemas, building visual dashboards, and applying statistical techniques to real-world business cases. Whether summarizing sales data or analyzing marketing trends, these sessions reflect practical skills in data profiling, visualization, and decision-making. Each snapshot highlights the journey from raw data to actionable business intelligence.
