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Use Tableau for your Data Science Workflow

Edureka

Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement. Uplift your expertise with advanced visualizations, mastering heatmaps, tree maps, and geographical mapping. Boost your career with our comprehensive Tableau training. Unlock the power of data visualization with our Tableau course.

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Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement. Uplift your expertise with advanced visualizations, mastering heatmaps, tree maps, and geographical mapping. Boost your career with our comprehensive Tableau training. Unlock the power of data visualization with our Tableau course.

This course provides an introduction to Tableau, a powerful data visualization tool, and its integration with fundamental data science concepts. Participants will gain hands-on experience in connecting to various data sources, creating insightful visualizations, and building interactive dashboards. Additionally, the course explores the synergy between Tableau and data science tools, empowering participants to leverage advanced analytics capabilities within the Tableau environment.

By the end of this course, you will be able to:

- Create foundational visualizations (bar charts, line charts, scatter plots).

- Learn effective data visualization practices.

- Connect to various data sources and perform basic data preparation.

- Explore advanced chart types and geographic mapping.

- Customize visualizing for specific insights.

This comprehensive short course is tailored for Beginners, Data Scientists, Business Analysts, and Data Engineers eager to delve into the world of data visualization and analysis using Tableau.

Previous experience with data analysis tools and basic understanding of data science concepts are beneficial but not essential for this course.

Embark on an insightful journey to master Tableau for Data Science workflows, learning how to effectively visualize, analyze, and glean insights from large datasets.

Enroll now

What's inside

Syllabus

Data Exploration and Visualization with Tableau in Data Science
This module is meticulously designed to empower participants with essential skills in data exploration and visualization using Tableau within the dynamic realm of data science. Participants will learn cutting-edge data visualization techniques, positioning themselves as adept practitioners in advanced analytics.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides hands-on experience, equipping learners with invaluable practical skills
Establishes a strong foundation for beginners, making it accessible to those new to data visualization
Covers advanced chart types and geographical mapping, expanding learners' visualization capabilities
Teaches effective data visualization practices, empowering learners to create impactful dashboards
Instructed by Edureka, recognized for their expertise in data science training

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Activities

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Career center

Learners who complete Use Tableau for your Data Science Workflow will develop knowledge and skills that may be useful to these careers:
Data Visualization Analyst
Data Visualization Analysts use data visualization tools and techniques to translate raw data into visual representations that communicate insights and trends. This course provides comprehensive training in Tableau, a leading data visualization tool, empowering you to create compelling and informative visualizations. By mastering Tableau's capabilities, you can effectively convey complex data insights to stakeholders, enabling them to make informed decisions.
Business Analyst
Business Analysts use data to identify and solve business problems. They work with stakeholders to understand their needs and develop solutions that improve efficiency, reduce costs, and increase revenue. This course provides a solid foundation in data visualization using Tableau, a tool that Business Analysts use to communicate their findings effectively. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive decision-making.
Data Analyst
Data Analysts use data to identify trends and patterns that can help businesses make better decisions. They work with various data sources, including structured and unstructured data, to uncover insights that can improve operations, increase efficiency, and drive growth. This course provides a solid foundation in data visualization using Tableau, a powerful tool that Data Analysts use to communicate their findings effectively. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive decision-making.
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course provides a strong foundation in data visualization using Tableau, a tool that Data Scientists use to communicate their findings effectively. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive decision-making.
Data Engineer
Data Engineers design, build, and maintain the infrastructure and processes that store, manage, and process data. They work closely with Data Analysts and Data Scientists to ensure that the data is reliable, accessible, and secure. This course provides a solid foundation in data visualization using Tableau, a tool that Data Engineers use to monitor and analyze data pipelines. By learning how to create clear and concise visualizations, you can effectively communicate the health and performance of your data infrastructure to stakeholders.
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency and effectiveness of business operations. They work with businesses to develop and implement solutions that optimize processes, reduce costs, and increase productivity. This course provides a solid foundation in data visualization using Tableau, a tool that Operations Research Analysts use to communicate their findings effectively. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive decision-making.
Market Research Analyst
Market Research Analysts use data to understand consumer behavior and market trends. They work with businesses to develop and implement marketing strategies that reach the target audience and achieve business goals. This course provides a solid foundation in data visualization using Tableau, a tool that Market Research Analysts use to communicate their findings effectively. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive decision-making.
Financial Analyst
Financial Analysts use data to analyze financial performance and make investment recommendations. They work with companies, investors, and other stakeholders to provide insights into the financial health of organizations. This course provides a solid foundation in data visualization using Tableau, a tool that Financial Analysts use to communicate their findings effectively. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive decision-making.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with stakeholders to define project scope, develop timelines, and ensure that projects are completed on time and within budget. This course provides a solid foundation in data visualization using Tableau, a tool that Project Managers use to track project progress, identify risks, and make data-driven decisions. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive project success.
Product Manager
Product Managers are responsible for the development and management of products. They work with stakeholders to define product requirements, develop roadmaps, and ensure that products meet customer needs. This course provides a solid foundation in data visualization using Tableau, a tool that Product Managers use to track product usage, identify trends, and make data-driven decisions. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive product development.
Web Developer
Web Developers design and develop websites and web applications. They work with stakeholders to understand requirements, develop solutions, and ensure that websites meet user needs. This course may be useful for Web Developers who want to learn how to use Tableau to visualize data and communicate their findings effectively. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive web development.
Data Architect
Data Architects design and manage the architecture of data systems. They work with stakeholders to understand data requirements, develop data models, and ensure that data systems meet business needs. This course may be useful for Data Architects who want to learn how to use Tableau to visualize data and communicate their findings effectively. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive data architecture.
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. They work with stakeholders to ensure that databases are available, secure, and meet user needs. This course may be useful for Database Administrators who want to learn how to use Tableau to visualize data and communicate their findings effectively. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive database administration.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with stakeholders to understand requirements, develop solutions, and ensure that software meets user needs. This course may be useful for Software Engineers who want to learn how to use Tableau to visualize data and communicate their findings effectively. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive software development.
Information Security Analyst
Information Security Analysts are responsible for protecting the confidentiality, integrity, and availability of information. They work with stakeholders to identify risks, develop security plans, and ensure that information is protected from unauthorized access. This course may be useful for Information Security Analysts who want to learn how to use Tableau to visualize data and communicate their findings effectively. By learning how to create clear and concise visualizations, you can effectively communicate your insights to stakeholders and drive information security.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Use Tableau for your Data Science Workflow.
Provides a comprehensive overview of data visualization principles and techniques. It serves as a foundational resource that complements the course content by offering a broader perspective on visualization best practices.
Provides a comprehensive overview of data science, covering concepts, techniques, and applications in a business context. It helps establish a foundation for data science concepts and their relevance in the field.
Serves as a comprehensive reference guide for Tableau. It provides detailed explanations of Tableau's features, functions, and usage scenarios. It can be used as a resource for deeper exploration of topics covered in the course.
Focuses on text analytics capabilities in Tableau, providing techniques for analyzing and visualizing text data. It enhances the course's coverage of data exploration and visualization by adding a specialized perspective on text data handling.
Introduces data manipulation techniques in R, a popular programming language for data science. It serves as a helpful companion to the course, providing a foundation for understanding data preparation and transformation tasks that are essential for effective data visualization.

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