​Course Syllabus

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Week-1: Data Analysis Basics

• ​What is Data
• Importance of Data and Data Analysis 
• Different types of Data
• Benefits of Data Analysis
• Trends and example of Data Analysis

Week-2: Data Collection for ETL  Analysis

• Source of Data
• Example of Source of Data 
• Data analyst and Business Analyst
• Introduction to SQL

​Week-2 till end : Tools used

• ​SQL Server Management Studio
• Azure Data Factory
• JIRA
• Miro 
• GitHub
• Snipping tool

Week-3: Data Science Methodology

• Data understanding 
• Data preparation
• Modeling
• Statistical Parameters
• Model Monitoring​

Week-3: Details about SQL

• ​Installation of Tools 
• Types of Data
• Qualitative and Quantitative Data
• Data Levels of Measurement 

Week-4: Power BI

• Licensing
• Security
• Understand Power BI Services
• Generate Power BI report and perform the Analysis

Week-4: Power BI

• Introduction to PowerBI 
• Use of Power BI in various industries 
• Visualization in Power BI
• DAX functions in PowerBI

Week-5: What is Scrum and SAFe

• What is Scrum 
• What is SAFe
• Roles and Responsibilities in Scrum and SAFe 

Week-5: Cloud concepts & API

• ​Cloud computing 
• APIs
• Wireframe