Data Visualization Courses
Data visualization is the visual representation and communication of data. To clearly and efficiently share information, data visualization uses statistical graphics, plots, information graphics and other tools in data science.
442 Data Visualization Courses
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The Communicating Data Through Storytelling online short course from the MIT Sloan School of Management teaches professionals how to transform complex data into persuasive, audience-centered narratives. Over six weeks of online learning, students will explore data perception, effective visualization, presentation design, clear communication, persuasive arguments, and delivering with impact. Before You Learn / Who This Course Is For Professionals who regularly present data insights, regardless of technical expertise Analysts, analytics managers, and decision-makers seeking clearer communication Managers, consultants, and entrepreneurs aiming to persuade stakeholders with data What to Expect Six weeks of online learning Modules on visualization, presentation design, and persuasive communication Use of the TOP-T (Topic, Orientation, Point, Transition) framework from MIT Sloan to structure data stories What You’ll Achieve Ability to craft persuasive, logically sound data-driven presentations Skills to design graphs and communicate insights with clarity A digital certificate of completion from the MIT Sloan School of Management
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The University of Maryland Global Campus offers a fully online Machine Learning Engineering & AI Bootcamp, allowing flexibility in learning pace and schedule. Students will design, prototype, and deploy machine learning systems while gaining a comprehensive understanding of ethics, data handling, and deep learning. A certificate of completion is awarded upon finishing the course. Before You Learn / Who This Course Is For Designed for aspiring machine learning engineers Ideal for self-motivated learners seeking flexibility No prerequisites required, open to all backgrounds What to Expect Self-paced online learning with flexible scheduling Hands-on projects building and deploying applications Coverage of ethics and bias in machine learning What You'll Achieve Certificate of completion from University of Maryland Global Campus Proficiency in machine and deep learning systems Skills applicable to AI and data-driven roles
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This comprehensive program offers a deep dive into essential data science techniques and methodologies. Delivered online, it covers Python, SQL, and machine learning, with a focus on practical applications like linear regression and decision trees. Learners will engage in project-based learning to master both quantitative and qualitative research methods, Agile practices, and CRISP-DM methodology. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites; open to beginners and professionals Perfect for those interested in data-driven decision making What to Expect Self-paced online format with interactive modules Hands-on projects and real-world data analysis Focus on Python, SQL, and machine learning applications What You'll Achieve Gain proficiency in Python, SQL, and machine learning Master Agile and CRISP-DM methodologies Prepare for data science roles with practical skills
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The Master in Data Analytics is an online, self-paced course designed to equip learners with essential data skills. Covering topics like Python, web scraping, SQL, and data visualization, this program offers comprehensive insights into business intelligence tools such as Tableau and Power BI. Through project-based learning, participants engage in practical exercises, applying concepts to real-world scenarios. Before You Learn / Who This Course Is For Designed for aspiring data analysts and professionals Ideal for beginners and those enhancing data skills No prerequisites required, open to all learners What to Expect Self-paced online format for flexible learning Project-based activities using real-world data scenarios Hands-on practice with tools like Tableau and Power BI What You'll Achieve Master data analytics concepts and tools Gain proficiency in Python and SQL Enhance career prospects in data-driven roles
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The Master in Data Analytics & Science is an online program designed to equip learners with essential skills in data analysis and science. Covering Python, databases, SQL, and data visualization, this course blends theory with practical application. Learners will gain hands-on experience with tools like Tableau and Power BI, and explore advanced topics such as machine learning, deep learning, and generative AI. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and scientists Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Self-paced online format with flexible learning Hands-on projects using Python, SQL, and Tableau In-depth exploration of AI and machine learning What You'll Achieve Comprehensive understanding of data analytics and science Proficiency in tools like Power BI and Tableau Skills applicable to various data-driven roles
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The Master in Data Science is a comprehensive online program designed for both beginners and professionals. Participants will explore essential topics such as Python, SQL, databases, and data visualization. The course includes hands-on projects in machine learning, deep learning, and generative AI, providing a practical learning experience. Ethical considerations and data governance are also covered, ensuring a well-rounded understanding of the field. Before You Learn / Who This Course Is For Suitable for beginners and experienced professionals Ideal for aspiring data scientists and analysts No specific prerequisites required What to Expect Self-paced online learning modules Hands-on projects with real-world data sets In-depth coverage of AI and machine learning What You'll Achieve Comprehensive understanding of data science techniques Ability to use tools like Python and SQL Skills applicable to data-driven decision-making
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This online certification course provides essential skills in data modeling, visualization, and business intelligence reporting. Designed for flexible learning, it offers 12-month unlimited access with self-paced study options. Learners gain expertise in Power BI, supported by an AI-powered tutor for instant assistance. The course also includes comprehensive exam preparation tools, making it ideal for those pursuing the PL-300 certification exam. Before You Learn / Who This Course Is For Ideal for Data Analysts, Business Intelligence Specialists, Business Analysts No prerequisites required for enrollment Welcomes learners of all experience levels What to Expect Self-paced online learning with 12-month access AI-powered tutor for instant support Includes interactive quizzes and gamified practice tests What You'll Achieve Master Power BI for effective data visualization Prepare for PL-300 certification exam
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The Product Management Career Pathway is an online program designed to equip learners with essential skills in product management. The course covers fundamental topics such as SQL, APIs, JavaScript, data visualization, and tools like Tableau and PowerBI. Delivered through a blend of interactive sessions and practical projects, this course prepares students for real-world product management challenges. Before You Learn / Who This Course Is For Ideal for aspiring product managers and team leads Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Online interactive sessions and project-based learning Hands-on practice with SQL, APIs, and JavaScript Utilize Tableau and PowerBI for data visualization What You'll Achieve Gain skills in product lifecycle and team leadership Develop data analysis and product design expertise
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Actuarise's R Expert Advanced Analytics bootcamp is an online course focusing on advanced R modeling, statistical analysis, and data visualization tailored for actuarial work. The program combines self-paced learning with practical projects to provide hands-on experience in HTML and data analytics. Designed for professionals seeking to deepen their expertise in data-driven decision-making, the course offers a comprehensive approach to mastering analytical tools and techniques. Before You Learn / Who This Course Is For Ideal for actuarial professionals seeking advanced skills Suitable for those with foundational R knowledge No specific prerequisites required What to Expect Self-paced online format with practical projects Hands-on experience with R and HTML Focus on statistical analysis and data visualization What You'll Achieve Advanced skills in R modeling and data visualization Enhanced capability in statistical analysis for actuarial tasks
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Code First Girls' Software Engineering Career Pathway is a comprehensive online program designed to prepare learners for a career in software engineering. The course covers essential topics such as JavaScript, APIs, data visualization, and Python, with tools like Tableau and PowerBI. Delivered through self-paced modules, this program emphasizes practical, hands-on learning to equip students with the necessary skills for the tech industry. Before You Learn / Who This Course Is For Aimed at aspiring software engineers Ideal for beginners and career changers No prerequisites required What to Expect Self-paced online learning format Hands-on projects using JavaScript and Python In-depth exploration of APIs and data visualization What You'll Achieve Proficiency in JavaScript and Python Skills in data visualization with Tableau and PowerBI