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Module 1. Statistical Foundations for Data Analytics
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A) Business Statistics-[15 Hours]
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B) Statistical Analysis Using Excel-[10 Hours]
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C) Statistical Computing Using R Software-[5 Hours]
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D) Statistical Computing Using Python-[5 Hours]
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Module 2. Data Analysis Using Advanced Excel and Power Query-[30 Hours]
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Module 3. Data Visualization Using Excel and Google Data Studio-[10 Hours]
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Module 4. Data Analysis Using R 20 Module-[20 Hours]
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Introduction to Python Programming-[25 Hours]
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Module 1. Inferential Statistics (Using R and Python)-[15 Hours]
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Module 2. Data Analysis Using Python-[20 Hours]
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Module 3. Data Visualization and Storytelling
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A) Principles of Data Visualization -[10 Hours]
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B) Data Visualization Using R-[5 Hours]
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5 C) Data Visualization Using Python-[10 Hours]
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D) Data Visualization and Modelling Using Power BI-[30 Hours]
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E) Data Visualization Using Tableau-[25 Hours]
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Module 4. SQL for Data Analysis (MySQL/Microsoft SQL Server)-[25 Hours]
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Module 5. Case Studies/Mini Projects-[10 Hours]
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Module 6. Interview Preparation
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