Tableau for Data Science

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Tableau for Data Science
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Course Curriculum

Module 1: Introduction to Tableau

  • Overview of Tableau and its features
  • Understanding the Tableau interface and workspace
  • Connecting to data sources
  • Importing and exporting data

Module 2: Data Visualization Basics

  • Understanding data visualization principles
  • Creating basic charts and graphs in Tableau
  • Customizing visual elements (color, size, labels, etc.)
  • Using filters and parameters for data exploration

Module 3: Advanced Data Visualization

  • Creating advanced charts (treemaps, heat maps, box plots, etc.)
  • Implementing interactive features (highlighting, tooltips, etc.)
  • Working with maps and geospatial data
  • Using dual-axis and combination charts for layered visualizations

Module 4: Data Preparation and Blending

  • Data cleaning and shaping in Tableau
  • Handling missing data and outliers
  • Joining and blending data from multiple sources
  • Creating calculated fields and data transformations

Module 5: Dashboard Design and Layout

  • Design principles for effective dashboards
  • Building interactive dashboards with multiple views
  • Creating filters and parameters for user interaction
  • Implementing actions and drill-down capabilities

Module 6: Advanced Analytics in Tableau

  • Using Tableau's statistical functions and calculations
  • Applying forecasting techniques
  • Implementing clustering and segmentation analysis
  • Integrating Tableau with R and Python for advanced analytics

Module 7: Tableau Server and Sharing

  • Publishing and sharing Tableau workbooks
  • Collaborating with others through Tableau Server
  • Implementing security and access controls
  • Creating automated data refresh schedules

Module 8: Tableau Extensions and Integration

  • Extending Tableau's functionality using extensions
  • Integrating Tableau with external applications and APIs
  • Embedding Tableau visualizations in web pages and applications
  • Exploring advanced Tableau features and add-ons

Course Overview

Tableau for Data Science Online Training in Hyderabad and Bangalore, India

Tableau is a powerful data visualization tool that is commonly used in data science projects. It provides a user-friendly interface for creating interactive and visually appealing dashboards and reports.

Here are some ways in which Tableau can be useful for data science:

  1. Data Exploration: Tableau allows data scientists to explore and analyze data quickly and easily. It provides various visualization options, such as scatter plots, bar charts, heat maps, and geographic maps, which help in identifying patterns, trends, and outliers in the data.

  2. Data Preparation: Tableau has built-in data preparation capabilities that enable data scientists to clean and transform the data before analysis. It allows users to join, blend, and pivot data from multiple sources, perform calculations, and create custom fields.

  3. Interactive Dashboards: Tableau allows data scientists to create interactive dashboards that provide a comprehensive view of the data. Users can create filters, parameters, and actions to enable dynamic exploration of the data and drill down into specific details. This makes it easier to communicate insights and findings to stakeholders.

  4. Statistical Analysis: While Tableau is primarily a visualization tool, it also offers basic statistical analysis capabilities. Users can perform calculations, aggregations, and statistical functions within Tableau to gain insights from the data. However, for more advanced statistical analysis, data scientists often use specialized tools like Python or R.

  5. Integration with Data Science Workflow: Tableau can be integrated into the data science workflow, allowing data scientists to leverage its visualization capabilities alongside other tools. For example, Tableau can connect to various data sources, including databases, spreadsheets, and cloud services, making it easy to access and analyze data from different platforms.

It's important to note that while Tableau is a powerful tool for data visualization and exploration, it's not a replacement for programming languages like Python or R, which are commonly used in data science for tasks such as data cleaning, statistical modeling, and machine learning. Tableau complements these tools by providing a visually appealing and interactive way to present the results of data analysis.

Is Tableau used in data science?

Yes, Tableau is used in data science.

Which is better Tableau or Powerbi for data science?

There is no definitive answer to which is better between Tableau and Power BI for data science because it depends on various factors, including specific requirements, preferences, and the context of the project. Both Tableau and Power BI are powerful data visualization tools with their own strengths and considerations:

Tableau:

  • Tableau has a user-friendly interface and offers a wide range of interactive and visually appealing visualizations.
  • It has robust data exploration and analysis capabilities, making it suitable for data scientists to explore and gain insights from data.
  • Tableau's drag-and-drop functionality allows for rapid prototyping and iterative visualization development.
  • It has a strong community support and a large user base.

Power BI:

  • Power BI is tightly integrated with other Microsoft products and services, making it a suitable choice for organizations already using Microsoft's ecosystem.
  • It provides strong connectivity and integration with various data sources, including Microsoft Azure and SQL Server.
  • Power BI has advanced data modeling capabilities, making it a good choice for working with complex datasets and creating data relationships.
  • It offers natural language query and AI-driven features that enhance data exploration and analysis.

Ultimately, the choice between Tableau and Power BI depends on specific project requirements, data sources, integration needs, and user preferences. It is recommended to evaluate both tools based on your specific use case and consider factors such as ease of use, feature set, integration capabilities, and the overall fit with your organization's technology ecosystem.

Does Tableau involve coding?
No, Tableau does not require coding for basic usage.
 
Does Tableau involve coding?
No, Tableau does not require coding for basic usage. However, it does offer scripting capabilities with Tableau Calculated Fields and Tableau Functions for more advanced data manipulation and analysis.
 

Faq’s

  • There is no specific technology background required.

Our Trainers have highly experience in Support, Implementation and Rollout projects real time solutions on different scenarios and expert in their professionals. BESTWAY Technologies verifies their technical background and experience.

We  record each live class session you undergo through this training and we will share the recordings of each class.

Yes we will schedule a demo class as per the student convenient time by sharing live online streaming access either through Gotomeeting or Webex..

Trainer will provide detailed installation of required Software through Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course. 

If you are enrolled in classes and you have paid fees, but want to cancel the registration for certain reason, it can be done within 48 hours of initial registration. Please make a note that refunds will be processed within 25 days of prior request.

  • We are one of the best Tableau for Data Science online training providers in the world, We have learning Tableau for Data Science customers from India, USA, Singapore, Canada, UK, UAE, Australia, New Zealand, Qatar, South Africa, Malaysia, Saudi Arabia, Mexico, Ireland, Denmark, Sweden and other parts of the world. We are located in India. Offering Online Training in Cities like Hyderabad, Bangalore, Delhi, Mumbai, Chennai, Pune, Kolkata, Ahmedabad, Patna, Jaipur, Lucknow, Kochi, Indore, Chandigarh, Bhopal, SÅ«rat, Kanpur, Coimbatore, Visakhapatnam, Vadodara, Gurgaon, Guwahati, Ludhiana, Allahabad, Nagpur, Noida, Mysore, Ranchi, Bhubaneswar, Faridabad, Raipur, Vijayawada, Jamshedpur, Hubli, Tirupati, Guntur, Kakinada, Rajahmundry, Nellore, Anantapur, Eluru, Warangal, Nizāmābād, Secunderabad, Salem, Trivandrum, kerala, Hubli, Bellary, Gulbarga, Hospet, Tumkur, Thane, Navi Mumbai, Kalyan, Nashik, Aurangabad, Solapur, Gandhinagar, Shenzhen, Hong Kong, Tokyo, Yokohama, Nagoya, Fukuoka, Kobe, Copenhagen, Osaka, Kyoto, Nairobi Kenya, Mombasa, Kisumu, Lagos Nigeria, Ibadan, Abuja, Benin, Sydney, New York, New jersey, Melbourne, Dallas, Adelaide, Perth, Brisbane, London, Paris, Berlin, Vienna, Barcelona, Rome, Madrid, Prague, Munich, Milan, Bucharest, Istanbul, Moscow, Birmingham, Seattle, Baltimore, San Jose, San Marcos, Franklin, Chicago, Philadelphia, Jacksonville, Towson, Minneapolis, Los Angeles, Davidson, Murfreesboro, Houston, San Francisco, Atlanta, Alexandria, San Diego, Washington DC, Sunnyvale, Santa clara, Carlsbad, Tacoma, California, St. Louis, Edison, Raleigh, Nashville, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Salt Lake City, Orlando, Fort Lauderdale, Miami, Gilbert, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Cape Town, Johannesburg, Durban, Dubbai, Abu Dhabi , Sharjah, Riyadh, Jeddah, Sanaa, Aden, Yemen, Muscat Oman, Kuwait, Doha, Brisbane, Wellington, Auckland, Kuala Lumpur, George Town, Jurong East etc… Hyderabad - Ameerpet, SR Nagar, KPHB, Gachibowli, Dilsukhnagar, madhapur, tarnaka, kukatpally, himayat nagar, Bangalore - Banashankari, Bannerghata Road, Basaveswara Nagar, BTM Layout, Domlur, Electronic city, H S R Layout, Indira Nagar, J P Nagar, Jaya Nagar, K R Puram, Koramangala, Krishnarajapuram, Madivala, Malleswaram, Marathahalli, Mathikere, R T Nagar, Rajaji Nagar, Ramamurthy Nagar, Richmond Road, Shivaji Nagar, Vijaya Nagar, White Field

yes all the training sessions will be a live online streaming using either through gotomeeting or Webex you will be shared with live meeting access while session starts.

Yes, there are some group discount available if group contain more than two.

 

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Reviews

Tableau for Data Science Rated 4.7 based on 3 reviews.

By: Karthik, Rating:
I recently had the pleasure of completing the Tableau for Data Science Online Training program at BESTWAY Technologies in Hyderabad, and I must say, it exceeded all my expectations. This review aims to highlight the outstanding quality of education, experienced trainers, and the overall experience I had during my time there.

By: Nisha, Rating:
The Tableau for Data Science Online Training at BESTWAY Technologies is worth every penny. The trainers are experts who make Tableau for Data Science concepts click. The course content is well-organized, and the practical exercises are enlightening. I highly recommend this training.

By: Rani, Rating:
I'm impressed with the Tableau for Data Science Online Training at BESTWAY Technologies. The trainers are knowledgeable and patient, making complex Tableau for Data Science concepts easy to grasp. The practical labs and real-world scenarios are a huge plus. This training elevated my Tableau skills.

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