Course Title: Microsoft Power BI for Self-Employment

Course Duration: 3 Months (Part-time)

Course Objectives:

• Provide comprehensive training on Microsoft Power BI, empowering students with skills essential for data analysis and visualization.
• Equip students with the ability to connect to various data sources, transform data, and create insightful reports and dashboards.
• Foster practical learning through hands-on projects to enhance proficiency and readiness for self-employment opportunities.
• Enable students to leverage Power BI effectively for career advancement and entrepreneurial pursuits.

Course Overview: This course is designed to impart in-depth knowledge of Microsoft Power BI, a leading business analytics tool. Over the course of three months, students will delve into various aspects of Power BI, from data preparation and modeling to visualization techniques and report publishing. The syllabus is structured to provide a balance between theoretical understanding and practical application, ensuring students develop the necessary skills to utilize Power BI for self-employment or career growth.

Course Teaching Methodology:

• Interactive lectures to introduce concepts and techniques.
• Hands-on exercises and demonstrations for practical application.
• Real-world projects and case studies to reinforce learning and build a portfolio.
• Group discussions and peer collaboration to foster a dynamic learning environment.
• Regular assessments and feedback sessions to monitor progress and comprehension.

Importance for Learners in Career Growth and Self-Employment:

• Proficiency in Microsoft Power BI is highly sought after in the job market, with demand for skilled professionals in data analysis and visualization roles.
• Mastery of Power BI opens doors to diverse career opportunities, including data analyst, business intelligence developer, and consultant.
• Skills acquired in this course are transferable and applicable across various industries, offering flexibility and adaptability in career pursuits.
• For aspiring entrepreneurs, knowledge of Power BI can be leveraged to provide data-driven insights and consultancy services, facilitating self-employment and business growth.

Syllabus:

Foundations of Power BI

1. Introduction to Microsoft Power BI
2. Connecting to different data sources
3. Splitting columns and changing data types
4. Working with dates and conditional columns
5. Removing and reordering columns

Data Transformation and Modeling

1. Connecting files in a folder
2. Merging queries and transforming less structured data
3. Entering data and creating calculated columns
4. Optimizing models for reporting
5. Creating calculated measures

Visualization Techniques

1. Creating and managing hierarchies
2. Time intelligence functions
3. Manually typing in a data table and include/exclude options
4. Pie and treemap visualizations
5. Applying filters and slicers

Advanced Visualizations

1. Date slicers and map visualizations
2. Table and matrix visualizations
3. Table styles and waterfall charts
4. Gauge card and KPI visualizations
5. Coloring charts and customizing visuals

Dashboard Creation

1. Adding shapes, text boxes, and images
2. Page layout and formatting
3. Duplicating pages and handling categories with no data
4. Importing Excel data using simple tables
5. Adding text box image widgets and dashboard settings

Project Work and Review

1. Hands-on projects incorporating learned concepts
2. Pinning a live page and printing/exporting dashboard data
3. Publishing a report to the web and row-level security implementation
4. Final project presentation and evaluation

Note: The course syllabus can be tailored based on the specific requirements and skill level of the learners. Practical projects will be integrated throughout the course to provide real-world application of Power BI skills.

Course Title: Microsoft Power BI for Self-Employment

Course Duration: 3 Months (Part-time)

Course Objectives:

• Provide comprehensive training on Microsoft Power BI, empowering students with skills essential for data analysis and visualization.
• Equip students with the ability to connect to various data sources, transform data, and create insightful reports and dashboards.
• Foster practical learning through hands-on projects to enhance proficiency and readiness for self-employment opportunities.
• Enable students to leverage Power BI effectively for career advancement and entrepreneurial pursuits.

Course Overview: This course is designed to impart in-depth knowledge of Microsoft Power BI, a leading business analytics tool. Over the course of three months, students will delve into various aspects of Power BI, from data preparation and modeling to visualization techniques and report publishing. The syllabus is structured to provide a balance between theoretical understanding and practical application, ensuring students develop the necessary skills to utilize Power BI for self-employment or career growth.

Course Teaching Methodology:

• Interactive lectures to introduce concepts and techniques.
• Hands-on exercises and demonstrations for practical application.
• Real-world projects and case studies to reinforce learning and build a portfolio.
• Group discussions and peer collaboration to foster a dynamic learning environment.
• Regular assessments and feedback sessions to monitor progress and comprehension.

Importance for Learners in Career Growth and Self-Employment:

• Proficiency in Microsoft Power BI is highly sought after in the job market, with demand for skilled professionals in data analysis and visualization roles.
• Mastery of Power BI opens doors to diverse career opportunities, including data analyst, business intelligence developer, and consultant.
• Skills acquired in this course are transferable and applicable across various industries, offering flexibility and adaptability in career pursuits.
• For aspiring entrepreneurs, knowledge of Power BI can be leveraged to provide data-driven insights and consultancy services, facilitating self-employment and business growth.

Syllabus:

Foundations of Power BI

1. Introduction to Microsoft Power BI
2. Connecting to different data sources
3. Splitting columns and changing data types
4. Working with dates and conditional columns
5. Removing and reordering columns

Data Transformation and Modeling

1. Connecting files in a folder
2. Merging queries and transforming less structured data
3. Entering data and creating calculated columns
4. Optimizing models for reporting
5. Creating calculated measures

Visualization Techniques

1. Creating and managing hierarchies
2. Time intelligence functions
3. Manually typing in a data table and include/exclude options
4. Pie and treemap visualizations
5. Applying filters and slicers

Advanced Visualizations

1. Date slicers and map visualizations
2. Table and matrix visualizations
3. Table styles and waterfall charts
4. Gauge card and KPI visualizations
5. Coloring charts and customizing visuals

Dashboard Creation

1. Adding shapes, text boxes, and images
2. Page layout and formatting
3. Duplicating pages and handling categories with no data
4. Importing Excel data using simple tables
5. Adding text box image widgets and dashboard settings

Project Work and Review

1. Hands-on projects incorporating learned concepts
2. Pinning a live page and printing/exporting dashboard data
3. Publishing a report to the web and row-level security implementation
4. Final project presentation and evaluation

Note: The course syllabus can be tailored based on the specific requirements and skill level of the learners. Practical projects will be integrated throughout the course to provide real-world application of Power BI skills.