Data Visualization Courses

The University of North Florida's Data Science Bootcamp offers a 400+ hour intensive program designed to equip learners with essential data science skills. This online course includes two portfolio-worthy capstone projects and covers 18 comprehensive units. Participants will explore the Data Science Method and can specialize in one of three tracks to align with their career goals. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; open to all backgrounds Perfect for career changers or skill enhancers What to Expect 400+ hours of intensive online learning Two capstone projects for practical experience Specialization tracks aligned with career goals What You'll Achieve Comprehensive understanding of the Data Science Method Skills in Python, data wrangling, and machine learning Portfolio-ready projects to showcase expertise

Vertical Institute's Data Science Bootcamp is an online, self-paced course designed for aspiring data scientists. The program covers essential topics such as Python, Jupyter Notebook, data visualization, and machine learning techniques like linear regression and decision trees. Learners will engage in hands-on projects, culminating in a capstone project that showcases their predictive modeling skills. Before You Learn / Who This Course Is For Aspiring data scientists with no prerequisites Ideal for beginners wanting practical data science skills Suitable for both technical and non-technical backgrounds What to Expect Self-paced online learning format Hands-on projects with tools like Python and Pandas Capstone project on predictive modeling What You'll Achieve Hands-on experience in data science tools and techniques Skills in data cleaning and visualization Predictive model creation for real-world applications

The Data Science with Python bootcamp is an intensive online program designed to equip learners with essential skills in Python, SQL, data analysis, visualization, machine learning, and predictive modeling. This course is ideal for those aiming to enter the rapidly expanding field of data science, offering a comprehensive curriculum through hands-on projects and practical instruction. Before You Learn / Who This Course Is For Aimed at aspiring data scientists and analysts Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Self-paced online format with flexible scheduling Hands-on projects using Python, SQL, and machine learning Focus on practical data analysis and visualization skills What You'll Achieve Gain proficiency in Python and SQL for data science Develop skills in machine learning and predictive modeling

The Data Science with Python & R bootcamp is an intensive online program designed to equip learners with comprehensive data science skills. Participants will explore Python, R, Anaconda, Spyder, R-Studio, machine learning, and data visualization through a mix of theoretical and practical exercises. The course is delivered in a structured format, allowing learners to gain hands-on experience and apply their knowledge to real-world scenarios. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts Suitable for both technical and non-technical backgrounds No prerequisites; basic computer skills recommended What to Expect Structured online format with flexible pacing Hands-on projects using Python and R In-depth exploration of data visualization tools What You'll Achieve Proficiency in Python and R for data science Ability to perform machine learning tasks Skills in data visualization and analysis

The Data Science with Sports Bootcamp offers an intensive, hands-on experience focusing on sports analytics. This fully certified online program equips students with the skills to analyze real sports data through projects and case studies. Designed to prepare learners for a career in sports analytics, the course emphasizes data leverage, performance optimization, and strategic decision-making. Before You Learn / Who This Course Is For Aspiring sports analysts and data enthusiasts Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Interactive online format with hands-on projects In-depth analysis of real sports data Case studies and strategic decision-making exercises What You'll Achieve Earn a certification in sports analytics Develop data-driven decision-making skills Enhance career opportunities in sports analytics

The Master in Data Science, AI, & Big Data Analytics is an intensive program designed for professionals seeking to enhance their skills in data science. Offered online, this course covers key topics such as Python, AI, data visualization, machine learning, and more. It provides a comprehensive learning experience through practical projects and expert instruction. Before You Learn / Who This Course Is For Designed for aspiring data scientists and analysts Ideal for professionals in tech and business fields No prerequisites; basic programming knowledge helpful What to Expect Online format with expert-led instruction Hands-on projects using Python, AI, and Spark Focus on practical applications and real-world scenarios What You'll Achieve Enhanced skills in AI and data analytics Proficiency in tools like Python, Pandas, and PowerBI Applicable skills for data-driven decision-making

Skiller Education's Digital Analytics Bootcamp is an online, self-paced course designed to equip learners with essential skills in data analytics. Covering tools like Google Analytics, Tableau, and Hotjar, the program provides a comprehensive understanding of both quantitative and qualitative analysis. Through project-based learning, participants will gain practical experience in data visualization and analysis using industry-standard tools. Before You Learn / Who This Course Is For Open to both technical and non-technical individuals Ideal for aspiring data analysts and marketers No prerequisites; suitable for beginners What to Expect Self-paced online learning with flexible scheduling Hands-on projects using Google Analytics and Tableau In-depth exploration of data visualization techniques What You'll Achieve Enhanced skills in digital analytics and data visualization Practical knowledge of tools like Hotjar and Microsoft Clarity

Johns Hopkins University's Foundations of Data Visualization course is a self-paced, online program designed for professionals seeking to enhance their data communication skills. Participants will learn to translate complex data into clear, ethical visualizations through engaging video lectures and real-world applications. The course covers key design principles and human perception theories, providing a comprehensive understanding of effective data visualization techniques. Before You Learn / Who This Course Is For Ideal for data professionals and organizations Suitable for analysts and researchers Open to students and academics What to Expect Self-paced, asynchronous learning format Real-world use cases and assessments What You'll Achieve Earn two Continuing Education Units Earn a globally recognized data visualization Certificate of Completion from Johns Hopkins University upon completing the course.

The Full-Stack Developer Career Pathway is an online program designed to equip learners with essential web development skills. Covering HTML, CSS, JavaScript, React, APIs, and more, this course emphasizes practical, hands-on learning. Participants will engage in project-based activities to master data visualization tools like Tableau and PowerBI, alongside UX/UI design and Linux fundamentals. Before You Learn / Who This Course Is For Aimed at aspiring full-stack developers Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Self-paced online learning format Hands-on projects using HTML, CSS, JavaScript Engagement with tools like Tableau and PowerBI What You'll Achieve Proficiency in full-stack development skills Ability to create data visualizations Foundational knowledge in UX/UI design

The Google Data Analytics Professional Certificate is a self-paced online course designed to equip learners with essential data analytics skills. Participants will gain insights into the practices of junior data analysts, learning key tools like spreadsheets, SQL, R programming, and Tableau. The course includes AI training from Google experts, focusing on data cleaning, analysis, and visualization, with no prerequisites required. Before You Learn / Who This Course Is For Open to anyone, no degree or experience required Ideal for aspiring data analysts and business professionals Suitable for learners seeking flexible, self-paced study What to Expect Self-paced online learning with flexible scheduling Hands-on projects using spreadsheets, SQL, and R AI training from Google experts integrated in the curriculum What You'll Achieve Professional certificate from Google upon completion Mastery of data cleaning, analysis, and visualization Skills applicable to junior data analyst roles