Tableau

Tableau is a robust, intuitive business intelligence (BI) and data visualisation solution that assists users in transforming unstructured data into interactive dashboards, charts, and visual reports. Without the need for complex programming knowledge, it enables people and organisations to make data-driven decisions using clear graphics.

🌟 Key Features of Tableau

  1. Dashboards that are interactive

    • Visual analytics in real time with drill-down capabilities, tooltips, and filters

  2. Blending and Integrating Data

    • Integrate information from several sources (cloud services, databases, and CSV files).

  3. Drag-and-Drop User Interface

    • Create visualisations without knowing how to write code.

  4. Extracted and Live Data

    • For quicker performance, it supports live connections or data extraction.

  5. Tableau Server and Tableau Public

    • Dashboards can be shared online or in secure business settings.

  6. Dashboards That Are Mobile-Friendly

    • Dashboards can be viewed and used on any device.

  7. Features Driven by AI

    • Use Natural Language Queries to Ask Data and Provide Insights to Explain Data

🎯 Why Learn Tableau?

  • In-demand proficiency in data science, BI, and analytics

  • extensively utilised by businesses such as Facebook, Amazon, Deloitte, and Accenture

  • Drag-and-drop interface – no coding required

  • connects to several data sources, including cloud platforms, SQL, and Excel.

  • Excellent for managers, analysts, and career changersrs

🧠 Who Should Learn Tableau??

  • Business analysts and data analysts

  • Supervisors and Those Who Make Decisions

  • Professionals in Marketing and Finance

  • Students that want to work in BI or data science

  • Anyone with an interest in data storytelling

🏁 Conclusion

An industry-standard tool for data visualisation and business intelligence is Tableau. It enables users to swiftly extract insights, graphically analyse data, and make well-informed business decisions. Tableau is a vital tool for anyone dealing with data because of its strong features and low learning curve.

⏱️ Course Duration & Mode

  • 📘 Duration: 45 days / 6 weeks

  • 👨‍🏫 Mode: Online Live Classes / Recorded Video Lessons

  • 🕘 Session Times: 1 hour each day, Monday through Friday

  • 💼 Project Work:  Hands-on Real-World Applications

  • 🏅 Certificate: Upon Completion + Interview Preparation Support
  • 🎯 Career Support: Resume Help + Practice Interviews + Job Placement Help

🎯 Career Opportunities

You can work in roles like:

  • Data Analyst

  • Business Intelligence Analyst

  • Tableau Developer

  • Reporting Analyst

  • Junior Data Scientist

📚 Who is eligible to enrol?

  • 🧑‍🎓 Newly graduated students (B.Tech, B.Sc., MCA, BCA, or diploma): Launch your career with employable skills
  • Professionals in the workforce seeking to improve their skills

  • Career changers into tech or web development positions

  • Freelancers seeking to develop whole applications for customers