Data Analytics for Decision-Making [DADM]
Course Overview:
This course provides professionals with data analytics skills to extract insights, visualize trends, and make data-driven decisions. Participants will learn data processing, statistical analysis, and predictive modeling using tools like Excel, Python, R, Power BI, and SQL.
Learning Objectives:
By the end of this course, participants will:
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Understand data analytics fundamentals and key methodologies.
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Apply data cleaning, transformation, and visualization techniques.
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Use statistical and machine learning models for predictive analysis.
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Interpret data insights to support business and policy decisions.
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Work with big data tools for large-scale analytics.
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Understanding structured and unstructured data
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Data types and sources
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Overview of analytics tools (Excel, Python, R, SQL)
Target Audience:
- Business analysts and decision-makers
- Data scientists and researchers
- IT professionals and developers
- Policy analysts and consultants
Course Format & Duration:
- Duration: 4–8 weeks (intensive or flexible formats)
- Mode: Online or in-person training
- Practical Component: Hands-on exercises, case studies, real-world projects
- Certification: Data Analytics Certificate upon completion