Complete Power BI Book
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https://www.linkedin.com/posts/sql-analysts_power-bi-book-sqlspecialist-activity-7128010834630369280-AQAR
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https://www.linkedin.com/posts/sql-analysts_power-bi-book-sqlspecialist-activity-7128010834630369280-AQAR
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10 Important Tableau Project Ideas for Data Analysts
https://datasimplifier.com/tableau-project-ideas-for-data-analysts/
https://datasimplifier.com/tableau-project-ideas-for-data-analysts/
👍8
Tableau Free Book
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https://www.linkedin.com/posts/sql-analysts_tableau-free-book-for-2023-activity-7129072596897120256-s102?utm_source=share&utm_medium=member_android
Like and share the post with your friends :)
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https://www.linkedin.com/posts/sql-analysts_tableau-free-book-for-2023-activity-7129072596897120256-s102?utm_source=share&utm_medium=member_android
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👍10
Learn Data Analytics from Microsoft with this free course by @PowerBI_analyst
https://learn.microsoft.com/en-us/credentials/certifications/power-bi-data-analyst-associate/
https://learn.microsoft.com/en-us/credentials/certifications/azure-enterprise-data-analyst-associate/
https://learn.microsoft.com/en-us/credentials/certifications/power-bi-data-analyst-associate/
https://learn.microsoft.com/en-us/credentials/certifications/azure-enterprise-data-analyst-associate/
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Complete step-by-step syllabus of #Tableau for Data Analytics Preparation:-
Introduction to Tableau
Overview of Tableau's capabilities
Differences between Tableau Desktop, Tableau Server, and Tableau Public
Navigating the Tableau interface
Getting Started with Data in Tableau
Importing data from various sources (Excel, SQL, cloud platforms, etc.)
Live vs. Extract data connections
Data types and roles in Tableau
Organizing and managing data sources
Working with Data
Data transformation tools: split, pivot, group, create calculated fields, etc.
Handling missing data
Data blending and joining Level of Detail (LOD) expressions
Visualization Techniques
Basic charts: bar, line, scatter, pie, etc.
Advanced charts: waterfall, Pareto, treemap, histogram, etc.
Time series analysis
Geospatial analysis with maps
Interactivity with dashboard actions, filters, and parameters
Dashboard and Story Design
Organizing and designing dashboards for user experience
Best practices for visualization
Storytelling with data
Mobile dashboard design
Advanced Tableau Features
Sets and combined sets
Forecasting and trend lines
Clustering and data modeling
Reference lines and bands
Publishing and Sharing
Publishing to Tableau Public, Server, and Online
Managing users and permissions
Interacting with content on Tableau Server and Mobile Performance Optimization
Best practices for a speedy dashboard
Aggregating data and optimizing extracts
Efficient workbook design
Tips and Tricks Keyboard shortcuts
Utilizing Tableau's community and resources
Customizing Tableau's look and feel with style and formatting options
Real-world Projects and Case Studies
Practice datasets and project scenarios
Portfolio development
Introduction to Tableau
Overview of Tableau's capabilities
Differences between Tableau Desktop, Tableau Server, and Tableau Public
Navigating the Tableau interface
Getting Started with Data in Tableau
Importing data from various sources (Excel, SQL, cloud platforms, etc.)
Live vs. Extract data connections
Data types and roles in Tableau
Organizing and managing data sources
Working with Data
Data transformation tools: split, pivot, group, create calculated fields, etc.
Handling missing data
Data blending and joining Level of Detail (LOD) expressions
Visualization Techniques
Basic charts: bar, line, scatter, pie, etc.
Advanced charts: waterfall, Pareto, treemap, histogram, etc.
Time series analysis
Geospatial analysis with maps
Interactivity with dashboard actions, filters, and parameters
Dashboard and Story Design
Organizing and designing dashboards for user experience
Best practices for visualization
Storytelling with data
Mobile dashboard design
Advanced Tableau Features
Sets and combined sets
Forecasting and trend lines
Clustering and data modeling
Reference lines and bands
Publishing and Sharing
Publishing to Tableau Public, Server, and Online
Managing users and permissions
Interacting with content on Tableau Server and Mobile Performance Optimization
Best practices for a speedy dashboard
Aggregating data and optimizing extracts
Efficient workbook design
Tips and Tricks Keyboard shortcuts
Utilizing Tableau's community and resources
Customizing Tableau's look and feel with style and formatting options
Real-world Projects and Case Studies
Practice datasets and project scenarios
Portfolio development
👍19❤7
MUST ADD these 5 POWER Bl projects to your resume to get hired
Here are 5 mini projects that not only help you to gain experience but also it will help you to build your resume stronger
📌Customer Churn Analysis
🔗 https://www.kaggle.com/code/fabiendaniel/customer-segmentation/input
📌Credit Card Fraud
🔗 https://github.com/sahidul-shaikh/credit-card-fraud-
📌Movie Sales Analysis
🔗https://www.kaggle.com/datasets/PromptCloudHQ/imdb-data
📌Airline Sector
🔗https://www.kaggle.com/datasets/yuanyuwendymu/airline-
📌Financial Data Analysis
🔗https://www.kaggle.com/datasets/qks1%7Cver/financial-data-
✅ Free Courses with Certificate:
https://news.1rj.ru/str/free4unow_backup
Simple guide
1. Data Utilization:
- Initiate the process by using the provided datasets for a comprehensive analysis.
2. Domain Research:
- Conduct thorough research within the domain to identify crucial metrics and KPIs for analysis.
3. Dashboard Blueprint:
- Outline the structure and aesthetics of your dashboard, drawing inspiration from existing online dashboards for enhanced design and functionality.
4. Data Handling:
- Import data meticulously, ensuring accuracy. Proceed with cleaning, modeling, and the creation of essential measures and calculations.
5. Question Formulation:
- Brainstorm a list of insightful questions your dashboard aims to answer, covering trends, comparisons, aggregations, and correlations within the data.
6. Platform Integration:
- Utilize Novypro.com as the hosting platform for your dashboard, ensuring seamless integration and accessibility.
7. LinkedIn Visibility:
- Share your dashboard on LinkedIn with a concise post providing context. Include a link to your Novypro-hosted dashboard to foster engagement and professional connections.
Hope this helps you
Here are 5 mini projects that not only help you to gain experience but also it will help you to build your resume stronger
📌Customer Churn Analysis
🔗 https://www.kaggle.com/code/fabiendaniel/customer-segmentation/input
📌Credit Card Fraud
🔗 https://github.com/sahidul-shaikh/credit-card-fraud-
📌Movie Sales Analysis
🔗https://www.kaggle.com/datasets/PromptCloudHQ/imdb-data
📌Airline Sector
🔗https://www.kaggle.com/datasets/yuanyuwendymu/airline-
📌Financial Data Analysis
🔗https://www.kaggle.com/datasets/qks1%7Cver/financial-data-
✅ Free Courses with Certificate:
https://news.1rj.ru/str/free4unow_backup
Simple guide
1. Data Utilization:
- Initiate the process by using the provided datasets for a comprehensive analysis.
2. Domain Research:
- Conduct thorough research within the domain to identify crucial metrics and KPIs for analysis.
3. Dashboard Blueprint:
- Outline the structure and aesthetics of your dashboard, drawing inspiration from existing online dashboards for enhanced design and functionality.
4. Data Handling:
- Import data meticulously, ensuring accuracy. Proceed with cleaning, modeling, and the creation of essential measures and calculations.
5. Question Formulation:
- Brainstorm a list of insightful questions your dashboard aims to answer, covering trends, comparisons, aggregations, and correlations within the data.
6. Platform Integration:
- Utilize Novypro.com as the hosting platform for your dashboard, ensuring seamless integration and accessibility.
7. LinkedIn Visibility:
- Share your dashboard on LinkedIn with a concise post providing context. Include a link to your Novypro-hosted dashboard to foster engagement and professional connections.
Hope this helps you
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