Turn complex data into visually engaging Tableau dashboards that highlight key insights. Learn design techniques that enhance clarity and decision-making.
Learn how to use Tableau, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. This course will teach you how to connect to datasets, analyze and structure data, customize visualizations, and publish your work.
Learn Tableau for data visualization and become a certified Tableau Desktop Specialist in this hands-on certification course.
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
Tableau is a powerful data visualization platform that helps people see, understand, and intuitively interact with data. It allows users to connect to various data sources, explore and analyze the data, and create clear and visually appealing charts, graphs, and dashboards to communicate insights. It offers a vast library of customizable charts and graphs, allowing you to represent your data in various ways, such as bar charts, pie charts, line graphs, scatter plots, and heat maps.
Tableau’s journey began in the early 2000s, driven by the goal of making data analysis more accessible and interactive. Tableau’s story began at Stanford University, where Pat Hanrahan, Christian Chabot, and Chris Stolte aimed to revolutionize data analysis by making it visual and intuitive. They developed the foundational technology behind Tableau, known as VizQL, which translates drag-and-drop actions into data queries, allowing users to explore data visually. In 2019, Salesforce acquired Tableau for $15.7 billion, marking the largest acquisition in Salesforce’s history at that time. Tableau continues to operate as a subsidiary under the Salesforce umbrella, offering its data visualization and analytics platform to a broader audience.
Tableau’s data visualization capabilities are a powerful tool for exploring and communicating insights compellingly. If you are a data-driven San Francisco sports fan, Tableau can help you analyze game statistics, player performance metrics, and team trends. You can create visualizations to compare players, analyze win/loss probabilities based on historical data, or track how different game strategies affect outcomes. You can also use Tableau for traveling. Tableau can help you visualize your travel data. You can map your past trips, categorize them by location type (e.g., beaches, mountains, cities), and analyze factors like travel costs and weather patterns.
Tableau classes will equip you with a range of technical skills related to data visualization and working with the Tableau software itself. You’ll learn how to connect Tableau to various data sources, including spreadsheets (Excel, CSV), databases (SQL, MySQL), cloud storage platforms (Dropbox, Google Drive), and even big data systems. Classes will also cover techniques for importing data into Tableau, handling missing values, correcting data inconsistencies, and transforming data for analysis.
The difficulty of learning Tableau depends on your existing skills and experience with data analysis and visualization. Known for its user-friendly interface and drag-and-drop functionality, Tableau is accessible even to beginners. If you’re comfortable with data concepts, cleaning, and basic analysis, you’ll pick up Tableau’s functionalities faster. Beginner Tableau classes focus on foundational skills, while advanced courses delve into complex data sources and visualizations.
The time it takes to learn Tableau depends on several factors, but most people can grasp its core functionalities within two to six months with dedicated learning. Some comfort with technology and software navigation is helpful, but even beginners can learn with proper guidance. It could take up to six months to become proficient in creating various visualizations and dashboards. Becoming a master can take much longer and involves advanced data manipulation, complex visualizations, and potential scripting with Tableau. You can optimize your learning by practicing regularly, supplementing with tutorials, and challenging yourself.
Learning SQL is not required to use Tableau, but it is beneficial to learn for the software. This database querying language is essential for retrieving data from relational databases, a common source for Tableau. Learn to select, filter, sort, and join data tables using SQL, which allows you to extract the specific data you need for Tableau. SQL is considered a beginner-friendly language. There are numerous online tutorials, courses, and practice exercises to help you grasp the fundamentals.
Python is a complementary data tool to learn alongside Tableau. This versatile programming language offers powerful data analysis capabilities. Learning Python can empower you to automate data cleaning tasks, perform complex calculations, and create custom visualizations beyond Tableau’s built-in functionalities. Python can help you perform advanced data analysis to complement your visualizations and extend Tableau’s functionalities for specific needs. Additional skills that complement Python are math, statistics, and visualization skills.
Tableau can be a valuable tool across various industries, like finance and banking. From portfolio analysis and risk management to customer segmentation and fraud detection, financial institutions leverage Tableau to gain insights from complex financial data. Sales teams also use Tableau to visualize sales pipelines, track performance metrics, and identify target audiences. Marketing teams leverage it to analyze campaign effectiveness, understand customer behavior, and optimize marketing strategies. Researchers, healthcare providers, and pharmaceutical companies use Tableau to analyze clinical trial data, track patient outcomes, and identify trends in healthcare utilization.
In San Francisco, Tableau is especially prevalent in the technology industry, where companies like Salesforce, Airbnb, and Asana use it to monitor product usage, customer engagement, and business KPIs across global user bases. The city has a strong FinTech sector as well, which includes companies like Chima. Their data management teams rely on Tableau to visualize transaction data and assess financial risks. This leads to better business decisions but also improved customer satisfaction. Additionally, San Francisco’s healthcare and health tech systems are incredibly prevalent, including UCSF Health and One Medical. They use Tableau to track operational performance, patient outcomes, and public health trends, supporting overall data-driven improvements in patient outcomes and the way patients receive care.
A Tableau Developer is a specialized programmer who works with Tableau to create customized solutions and enhance its functionalities to fit the specific needs of an organization. Tableau Developers play a crucial role in enabling data visualization and analysis within organizations. They go beyond basic data exploration and focus on the technical aspects of building, maintaining, and deploying data visualizations using Tableau. The San Francisco Bay Area is a hub for technology and data analysis, making it a prime location for Tableau developer opportunities. In San Francisco, a Tableau developer can make anywhere between $126,000 and $184,000 per year.
A Data Analyst is a problem-solver who uses data collection, organization, and analysis skills to extract valuable insights from information. Data analysts leverage Tableau as a powerful tool throughout their workflow to extract insights from data and communicate them effectively. The San Francisco Bay Area is a hub for tech and data analysis, brimming with opportunities for data analysts. Data analysts make between $60,000 and $100,000 per year.
A BI Developer acts as a bridge between Data Analysts and the data itself, by creating the tools and interfaces that allow users to easily access, analyze, and visualize data to gain valuable insights for business decisions. BI Developers establish secure connections between Tableau and various data sources, including databases, spreadsheets, cloud storage platforms, and potentially big data systems. The San Francisco Bay Area is a hub for technology and data analysis, making it a prime location for BI developer opportunities. They make between $85,000 and $107,000 per year.
Data scientists use scientific methods, statistics, and programming knowledge to extract knowledge and insights from data. They play a crucial role in transforming raw data into actionable information that can be used to improve decision-making across various industries. Tableau allows data scientists to quickly explore large datasets and get a high-level understanding of the data distribution, identify trends, and uncover potential outliers. This initial visual exploration can guide further statistical analysis in other tools. Data scientists in San Francisco make between $108,000 and $190,000 per year.
A Business Analyst is a problem-solver who unites the business world and the world of technology. They act as translators, turning business needs into technical requirements. Business analysts leverage Tableau throughout their data analysis process to extract insights from data and communicate them effectively to business users. Tableau allows analysts to connect to spreadsheets, databases, cloud storage platforms, and big data systems. The San Francisco Bay Area is a hub for technology and business, making it a prime location for Business Analyst opportunities, where they make between $75,000 and $120,000 per year.
Noble Desktop is a leading training provider, offering classes in-person at their Midtown Manhattan location or in a live online setting. For Tableau training, you can check out Tableau Level I and Level II, particularly if you want to pace your learning experience out a little further. Level I begins with the fundamentals of data visualization and getting familiar with the interface. Students will create graphs, charts, and maps through various projects and exercises. In Level II, students will explore more advanced concepts and learn more about the specific tools and customization options.
If you prefer to take both courses all at once, consider the Tableau Bootcamp. This will take you through the entirety of Level I and Level II, getting you fully familiar with the material. On the other hand, you may be dedicated to earning a certification. In that case, Noble Desktop offers a Tableau Certification Program that consists of the Tableau Bootcamp, additional one-on-one mentoring, and the Tableau Desktop Specialist exam with a free retake.
The best corporate training programs in NYC have been developed and provided by Noble Desktop for more than 20 years. We have great expertise in creating curricula for a range of professional settings. Our programs are fully tailored to your team’s unique needs. Noble Desktop can run training sessions onsite or live online through a teleconferencing platform like Zoom. Companies can facilitate corporate Tableau training at Noble Desktop’s midtown Manhattan facility or purchase bulk vouchers for regularly scheduled classes, offering employees the freedom to choose their own training schedule.
Contact Noble Desktop for more information about corporate Tableau training programs or to schedule a complimentary consultation.
If you’re searching for professional opportunities in fields related to tech, design, business, and data, look no further than San Francisco. The city is a global hub for innovative technologies, startups, and financial institutions, with some big-name companies like Google and Wells Fargo calling the Bay Area home. Tableau is one skill that can really get you further in a place like San Francisco. This data visualization tool is used across industries and allows users to perform data analysis quickly and visualize insights with ease. Through Noble Desktop’s quality instructors, you’ll be able to start your career in one of these fields quicker than you think. Their combined decades of experience give professionals and aspiring experts the skills that they’ll need to excel in a real-world setting without having to sacrifice hands-on learning. It’s an ideal place to find training that teaches technical skills and practical applications to serve you well in the job search and beyond.
As an experienced educator, researcher, and conference speaker, Dr. Deanne Larson brings her industry experience to the classroom, often teaching classes related to data, AI, Python, and project management. Her professional career is exceptional, beginning with her earning three doctorates in Computer Science (AI), International Management, and Management, as well as a Master’s in Business Analytics. Beyond academia. Dr. Larson has also worked in the field of data science and analytics for over 20 years, serving as an advisor to Fortune 500 companies, global enterprises, and FinTech startups through her firm, Larson & Associates, LLC. Her work spans AI-driven strategies, fraud detection machine learning models, and data governance solutions in cloud and blockchain environments. Her extensive training and career accomplishments give her the credibility to impart her knowledge to her students.