Tableau Desktop is a powerful business intelligence (BI) tool developed by Tableau Software. It allows users to visually analyze and explore data to gain insights and make data-driven decisions. Tableau Desktop is specifically designed to help users create interactive and dynamic visualizations, reports, and dashboards.

Here are some key features and capabilities of Tableau Desktop for business intelligence:

1. Data Connectivity: Tableau Desktop can connect to a wide range of data sources, including databases, spreadsheets, cloud services, and more. It supports both structured and unstructured data, making it versatile for data analysis.

2. Data Preparation: Tableau Desktop provides tools for data preparation and cleansing. Users can transform, filter, and aggregate data to create meaningful representations.

3. Visual Analytics: The tool offers a drag-and-drop interface that enables users to create interactive visualizations easily. It supports various chart types, including bar charts, line charts, scatter plots, maps, and more. Users can customize and format the visualizations to convey information effectively.

4. Dashboard Creation: Tableau Desktop allows users to combine multiple visualizations into interactive dashboards. Dashboards provide an overview of key metrics and enable users to explore data in a coordinated manner.

5. Collaboration and Sharing: Tableau Desktop provides features for collaboration and sharing. Users can publish their visualizations and dashboards to Tableau Server or Tableau Online for others to access and interact with. This facilitates sharing insights across teams and organizations.

6. Data Blending: Tableau Desktop supports data blending, which enables users to combine data from multiple sources and create unified visualizations. This feature is useful when data resides in different systems or databases.

7. Advanced Analytics: Tableau Desktop includes advanced analytical capabilities such as statistical calculations, forecasting, and clustering. These features allow users to perform deeper analysis and uncover patterns and trends in the data.

Overall, Tableau Desktop is a popular choice for business intelligence because it empowers users to analyze and visualize data in a user-friendly and intuitive manner. Its interactive and dynamic approach to data exploration helps users gain insights quickly and effectively communicate findings to stakeholders.

Business Analytics with Tableau

Tableau provides a wide range of analytics capabilities that empower users to gain deeper insights from their data. Here are some of the analytics features available in Tableau:

1. Calculated Fields: Tableau allows users to create calculated fields using formulas and functions. These calculations can be used to perform mathematical operations, create aggregations, apply conditional logic, and derive new metrics from existing data.

2. Table Calculations: Tableau offers a set of table calculations that enable users to perform complex calculations across rows, columns, and partitions in their data. These calculations can include running totals, moving averages, percent of total, rank, and more.

3. Statistical Functions: Tableau provides a range of statistical functions that users can apply to their data. These functions include measures such as mean, median, standard deviation, correlation, and regression analysis, allowing for deeper statistical analysis of the data.

4. Forecasting: Tableau allows users to apply forecasting models to their data to predict future trends and patterns. Users can easily add forecasting to their visualizations and customize the parameters based on their specific needs.

5. Clustering: Tableau supports clustering analysis, which helps identify patterns and groups within the data. Users can apply clustering algorithms to segment their data and visualize clusters using different colors or shapes.

6. Trend Lines and Reference Lines: Tableau enables users to add trend lines and reference lines to their visualizations. Trend lines help identify and understand patterns in the data, while reference lines provide benchmarks or targets for comparison.

7. Geographic Analytics: Tableau has robust geographic mapping capabilities. Users can plot data on maps and perform spatial analysis such as geocoding, heat maps, density maps, and spatial aggregations.

8. Level of Detail (LOD) Expressions: Tableau's LOD expressions allow users to define calculations that aggregate data at different levels of detail, regardless of the visualization's level of aggregation. This flexibility enables users to perform complex analysis and comparisons across different dimensions.

9. Statistical Modeling Integration: Tableau integrates with popular statistical modeling tools like R and Python. This integration allows users to leverage the capabilities of these tools for advanced analytics and modeling directly within Tableau.

These are just a few examples of the analytics capabilities offered by Tableau. The tool provides a rich set of features that empower users to perform in-depth analysis and uncover valuable insights from their data.

1. 45 hours of instructor led training for Basic and Advanced together.

2. Only basic course 25 hours and Tableau Analytics 20 hours

3. Recorded videos of all the training days, except the last day

4. Only comfortable weekend (Sat & Sun only)

5. Key Industry Tips from the trainer

6. Doubt solving and revision on last day for 5 hours 

7. Industry recognized Certificate

8. Job oriented training

Tableau is a valuable tool for individuals across various domains and industries who want to analyze and visualize data effectively. Here are some specific roles and professionals who can benefit from learning Tableau:

1. Data Analysts: Tableau is a popular choice for data analysts as it provides powerful visualization and analysis capabilities. Learning Tableau allows data analysts to explore data, identify patterns and trends, and present insights in a visually appealing manner.

2. Business Analysts: Tableau can help business analysts in understanding and interpreting data to support decision-making. By learning Tableau, business analysts can create interactive dashboards, perform data exploration, and communicate insights to stakeholders.

3. Data Scientists: Tableau complements the work of data scientists by providing a platform for data visualization and communication. Data scientists can use Tableau to create visualizations that help explain complex models and results to non-technical audiences.

4. Business Intelligence Professionals: Tableau is widely used in the field of business intelligence (BI). Professionals in BI roles can leverage Tableau to create interactive reports and dashboards, perform ad-hoc analysis, and share insights with business stakeholders.

5. Managers and Executives: Tableau's intuitive interface and visualizations make it accessible to managers and executives who may not have a technical background. Learning Tableau allows them to gain insights from data and make informed decisions.

6. Consultants: Tableau is a valuable tool for consultants working on data-driven projects. It enables them to analyze and visualize data to provide actionable recommendations to their clients.

7. Researchers and Academics: Researchers and academics across disciplines can benefit from Tableau's data visualization capabilities. It helps them present their findings effectively and communicate complex data in a more understandable manner.

8. Anyone working with data: In today's data-driven world, individuals in various roles and industries can benefit from learning Tableau. Whether you work in marketing, finance, operations, or any other field that involves data analysis, Tableau can help you explore and communicate data insights effectively.

Tableau's user-friendly interface and powerful features make it accessible to both technical and non-technical professionals. Whether you are a data analyst, business analyst, manager, or researcher, learning Tableau can enhance your data visualization and analysis skills, enabling you to derive insights and make data-driven decisions.

1. You should have a passion to learn

2. No IT or Software knowledge required for this course

3. Your laptop or Desktop

4. Tableau Desktop installation

5. Office 365 / 2019 / 2021

6. We emphasize on writing own notes.

7. For analytics a pre reading of few topics are recommended which will be shared with the participants before beginning of trainings.

The salary offered to a Tableau certified professional can vary depending on various factors, including location, years of experience, job role, industry, and company size. However, obtaining a Tableau certification can potentially lead to higher earning potential and better job opportunities.

According to available data, the average salary for Tableau certified professionals ranges from around $70,000 to $120,000 per year. However, salaries can go higher for senior-level roles or individuals with extensive experience in data analytics and visualization. In locations with a higher cost of living or high demand for Tableau professionals, salaries can be even more lucrative.

It's important to note that Tableau certification alone may not be the sole factor determining salary. Employers also consider other qualifications, skills, and experience when determining compensation. It's beneficial to have a strong foundation in data analytics, data visualization, and other relevant technologies to enhance your value in the job market.

Additionally, continuous learning and staying updated with the latest developments in Tableau and the field of data analytics can help professionals command higher salaries over time.

It's recommended to research specific job markets, industry trends, and company salary ranges to get a better understanding of the compensation offered for Tableau certified professionals in your target location and role.

There is definitely value in learning Tableau and continuing to enhance your skills in the platform. Here are a few reasons why learning Tableau can be beneficial for the future:

1. Increasing Demand: The demand for data analytics and visualization skills is growing across industries. Tableau is one of the leading tools in this space, and organizations are increasingly adopting it for their data analysis and reporting needs. By learning Tableau, you position yourself to meet the growing demand for professionals with Tableau skills.

2. Versatility: Tableau is a versatile tool that can be used for a wide range of data analysis and visualization tasks. Whether you are working with large datasets, performing complex calculations, or creating interactive dashboards, Tableau provides the flexibility to handle diverse analytics requirements. This versatility makes Tableau relevant for various industries and roles.

3. Intuitive Interface: Tableau has a user-friendly and intuitive interface that allows users to quickly create visualizations and interact with data. This ease of use makes Tableau accessible to both technical and non-technical professionals, enabling better collaboration and communication around data.

4. Integration with Advanced Analytics: Tableau integrates well with advanced analytics tools and languages, such as R and Python. This allows you to leverage the power of statistical modeling, machine learning, and data science within the Tableau environment. By combining Tableau with advanced analytics, you can unlock deeper insights and enhance your analytical capabilities.

5. Community and Resources: Tableau has a vibrant user community and a wealth of online resources, including forums, blogs, and training materials. This active community provides opportunities for learning, sharing best practices, and staying updated with the latest developments in Tableau. Engaging with the Tableau community can help you expand your knowledge and network with other professionals in the field.

6. Career Advancement: Proficiency in Tableau can open up career opportunities in roles such as data analyst, business analyst, data visualization specialist, and more. Tableau skills are highly valued in organizations that prioritize data-driven decision-making. By mastering Tableau, you can position yourself for career advancement and potentially higher earning potential.

In summary, learning Tableau can be a valuable investment for your future. It equips you with sought-after skills in data analytics and visualization, helps you stay competitive in the job market, and empowers you to drive insights and make data-driven decisions.

Increasing Demand in the Corporate world for knowledgeable and Tableau Certified. Tableau certifications hold significant importance in the industry for professionals working in the field of data analytics and visualization. Here are some reasons why Tableau certifications are valuable:

1. Validation of Skills: Tableau certifications serve as a validation of your skills and expertise in using the Tableau platform. They demonstrate that you have a solid understanding of Tableau's functionalities, features, and best practices. Certification acts as a tangible proof to employers and clients that you possess the necessary knowledge and proficiency in Tableau.

2. Competitive Advantage: In a competitive job market, Tableau certifications can set you apart from other candidates. Having a certification shows your commitment to professional growth and highlights your dedication to mastering Tableau. It enhances your resume and makes you a more attractive candidate for job opportunities in data analytics and visualization roles.

3. Credibility and Trustworthiness: Tableau certifications add credibility to your profile and build trust with employers, clients, and colleagues. They provide assurance that you have met the standards set by Tableau for proficiency in their software. Employers often value certified professionals as they can contribute to more effective data analysis, reporting, and decision-making within their organizations.

4. Enhanced Career Opportunities: Tableau certifications can open up new career opportunities and advance your professional growth. Many organizations specifically seek Tableau-certified professionals to handle their data analytics needs. Certification can lead to job promotions, salary increases, and a broader range of job prospects in various industries and sectors.

5. Access to Tableau Community and Resources: Becoming certified in Tableau grants you access to the Tableau community and resources. This includes forums, online groups, and events where you can connect with other Tableau professionals, share knowledge, and learn from their experiences. The Tableau community can be an invaluable source of learning and networking opportunities.

6. Continued Professional Development: Tableau certifications often require ongoing learning and maintenance, ensuring that certified professionals stay updated with the latest features and advancements in the Tableau platform. This commitment to continuous professional development keeps you ahead of the curve in the fast-paced world of data analytics and visualization.

Ultimately, Tableau certifications provide a recognized standard of excellence and demonstrate your competence in using the Tableau software. They enhance your professional credibility, expand your career opportunities, and contribute to your overall growth as a data analytics professional.