Description
Program Duration
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Full-time: 12–18 months
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Part-time/Online: 18–24 months
Eligibility Criteria
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High school diploma or equivalent (some institutions may require a bachelor’s degree).
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Basic knowledge of mathematics and statistics is preferred.
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No prior coding experience required (but helpful).
Course Modules
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Introduction to Business Analytics
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Overview of analytics in business
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Types of analytics (descriptive, predictive, prescriptive)
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Role of a business analyst
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Data Management & SQL
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Database fundamentals
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SQL for data extraction and manipulation
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Data cleaning and preprocessing
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Statistical Analysis for Business
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Probability & descriptive statistics
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Hypothesis testing & regression analysis
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Statistical tools (Excel, R, Python)
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Data Visualization & Reporting
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Principles of data storytelling
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Tools: Tableau, Power BI, Google Data Studio
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Dashboard creation & KPIs
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Predictive Analytics & Machine Learning
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Supervised vs. unsupervised learning
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Regression, classification, clustering
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Applications in business (customer segmentation, sales forecasting)
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Big Data & AI in Business
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Introduction to big data technologies (Hadoop, Spark)
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AI & automation in decision-making
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Ethical considerations in data analytics
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Business Applications & Case Studies
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Real-world analytics projects
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Industry use cases (retail, finance, healthcare, marketing)
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Capstone project
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Tools & Technologies Covered
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Programming: Python, R
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Database & Querying: SQL, Excel
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Visualization: Tableau, Power BI
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Big Data: Basics of Hadoop, Spark
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Machine Learning: Scikit-learn, TensorFlow (introductory)
Career Opportunities
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Business Analyst
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Data Analyst
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Market Research Analyst
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Business Intelligence Analyst
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Analytics Consultant
Certification & Assessment
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Continuous assessments (quizzes, assignments)
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Practical projects & case studies
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Final capstone project & presentation
Why Choose This Diploma?
✅ Hands-on training with industry tools
✅ High demand for business analytics professionals
✅ Flexible learning options (online/offline)
✅ Career support & internship opportunities