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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Barcelona Code School's Machine Learning and AI Engineering Bootcamp is a 13-week, part-time course designed to teach students how to build and understand AI systems, moving beyond traditional black-box usage. The program offers flexible learning through text and video materials, supplemented by 1:1 mentor guidance. Participants will explore advanced topics in machine learning, deep learning, and AI, with a focus on hands-on project-based learning. Before You Learn / Who This Course Is For Open to anyone eager to build AI systems Designed for learners with a passion for deep learning No specific prerequisites required What to Expect 13-week part-time mentored format Flexible schedule with text and video materials Regular 1:1 sessions with instructors What You'll Achieve Industry-recognized graduation certificate Skills in AI development with BERT and GPT Proficiency in building neural networks and language models
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Data Science Dojo offers an immersive bootcamp that equips professionals with essential data science skills through live, in-person, instructor-led sessions. The curriculum combines foundational concepts with hands-on exercises, focusing on R programming and Azure machine learning. Participants will learn to extract actionable insights from data, preparing them to tackle real-world business challenges effectively. Before You Learn / Who This Course Is For Working professionals seeking data science skills Ideal for those with interest in data science Basic programming knowledge recommended, not mandatory What to Expect Live, in-person, instructor-led tutorials Hands-on exercises with R and Azure tools Focus on practical data interpretation and insights What You'll Achieve Gain skills in R programming and Azure Ability to solve real-world data problems
16 Week Remote DSDojo Bootcamp
16 weeks may seem like a daunting time commitment, but the course is so worth it! The way the Data Science Dojo crew runs their bootcamp program is very thorough. The lessons and homework flow very intuitively. The modules covered build on concepts in a way that really helps with understanding. The instructors really promote class interaction which is good for tackling these topics in such a sh...
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Data Science Dojo's course for managers and business leaders offers a comprehensive overview of machine learning and data science. This online, instructor-led course provides insights into business challenges and core concepts, delivered live for an interactive learning experience. Participants will engage in theory, practical exercises, and Q&A sessions, ensuring a thorough understanding of the data science landscape. Before You Learn / Who This Course Is For Designed for managers and business leaders No prerequisites required Ideal for those seeking data-driven decision-making skills What to Expect Live, instructor-led online sessions Interactive theory and practical exercises Engaging Q&A sessions with real instructors What You'll Achieve In-depth understanding of machine learning concepts Ability to tackle business challenges using data science
16 Week Remote DSDojo Bootcamp
16 weeks may seem like a daunting time commitment, but the course is so worth it! The way the Data Science Dojo crew runs their bootcamp program is very thorough. The lessons and homework flow very intuitively. The modules covered build on concepts in a way that really helps with understanding. The instructors really promote class interaction which is good for tackling these topics in such a sh...
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Data Science Dojo's Python for Data Science bootcamp is an intensive, five-day online course designed for those eager to enhance their data science skills using Python. Over 15 hours of live instruction, participants will explore both foundational and advanced Python techniques, culminating in a hands-on project. This course is ideal for individuals aiming to transfer their programming skills across various industries, particularly in data science, machine learning, and AI. Before You Learn / Who This Course Is For Aspiring data scientists and analysts Ideal for Python beginners and intermediate users No prerequisites required, just a passion for learning What to Expect Live online instruction over five days Hands-on projects and advanced Python techniques Interactive sessions with real-world data applications What You'll Achieve Enhanced Python skills for data science Completion project showcasing data analysis abilities Foundation for career advancement in tech fields
16 Week Remote DSDojo Bootcamp
16 weeks may seem like a daunting time commitment, but the course is so worth it! The way the Data Science Dojo crew runs their bootcamp program is very thorough. The lessons and homework flow very intuitively. The modules covered build on concepts in a way that really helps with understanding. The instructors really promote class interaction which is good for tackling these topics in such a sh...
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Codemify’s Machine Learning Engineer Program is a hands-on bootcamp designed for career changers seeking practical ML skills. Participants gain real-world experience through internships with U.S.-based startups and engage in intensive interview preparation. The program emphasizes building projects, training models, and deploying applications with support from live mentors, ensuring students acquire tools like Python, Pandas, and scikit-learn for real-world applications. Before You Learn / Who This Course Is For Ideal for career changers entering machine learning Open to all with no specific prerequisites Perfect for those seeking hands-on experience in ML What to Expect Internship at a U.S.-based startup for real-world experience Live mentorship and a supportive learning community Intensive interview preparation with up to six sessions weekly What You'll Achieve Proficiency in Python, Pandas, NumPy, and scikit-learn Skills in data modeling, visualization, and ML pipelines
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CodingNomads offers a comprehensive online bootcamp designed to take learners from beginner to professional in data analysis, data science, machine learning, and AI. The program includes courses in Python, SQL, and deep learning, utilizing real-world datasets and popular tools like Numpy and Pandas. Students benefit from one-on-one mentorship, chat support, and a community of learners, with most completing the curriculum within 6-10 months, plus additional career support. Before You Learn / Who This Course Is For Open to beginners and aspiring data professionals Ideal for career changers in tech fields No prerequisites; commitment to learning required What to Expect Online, self-paced learning with flexible schedule Access to real-world datasets and tools like Numpy One-on-one mentorship and peer support channels What You'll Achieve Skills in Python, SQL, and machine learning Career mentorship to guide job transitions Potential for career advancement and salary increase
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CodingNomads offers a comprehensive Data Science and Machine Learning course designed for professionals seeking to leverage Python in analyzing large datasets. This 4-month, self-paced program includes pre-recorded lectures and personalized mentorship through regular screen-sharing sessions. Participants can access assistance via chat channels and engage with a network of peers. The course emphasizes problem-solving with data science and machine learning techniques, tailored to individual tasks. Before You Learn / Who This Course Is For Designed for those with Python proficiency Ideal for data analysts and engineers Prerequisite: Python programming skills What to Expect Self-paced with pre-recorded lectures 1:1 mentor sessions for personalized guidance Collaboration through chat and peer networking What You'll Achieve Master data science and ML techniques Apply skills to real-world decision-making
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CodingNomads' Deep Learning with Python course is an online, self-paced program focusing on artificial intelligence fundamentals. Students engage in hands-on projects using PyTorch, neural networks, and computer vision. The course spans approximately four months, requiring around 15 hours of study per week. Participants design, train, and evaluate their own deep learning models, gaining practical experience in AI applications. Before You Learn / Who This Course Is For Ideal for technical professionals in AI and data science Proficiency in Python and basic calculus required Targeted at learners interested in deep learning models What to Expect Self-paced online learning with flexible scheduling Hands-on projects using PyTorch and neural networks Focus on computer vision and natural language processing What You'll Achieve Develop skills in designing and evaluating AI models Gain practical experience with deep learning tools
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Metana.io's AI and Machine Learning Bootcamp offers an immersive online experience for professionals seeking to advance in AI. The program includes comprehensive coverage of AI fundamentals, data preprocessing, predictive modeling, deep learning, NLP, and computer vision. Delivered through hands-on projects, participants apply knowledge in real-world scenarios, supported by expert instructors and a collaborative learning environment. Before You Learn / Who This Course Is For Ideal for professionals enhancing AI skills Suitable for technical backgrounds No specific prerequisites required What to Expect Interactive online format with expert instruction Hands-on projects and real-world applications Collaborative environment with networking opportunities What You'll Achieve Certificate of completion from Metana.io Skills in AI, NLP, and computer vision Foundation for AI career advancement
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The Data Analytics Bootcamp is an intensive, online program designed to equip learners with essential data skills. Delivered over a flexible schedule, it covers key topics such as HTML, CSS, JavaScript, Python, SQL, PowerBI, and Tableau. The course focuses on practical, hands-on learning, enabling participants to build real-world projects and enhance their data analytics capabilities. Before You Learn / Who This Course Is For Suitable for beginners and career switchers Ideal for aspiring data analysts and developers No prerequisites required What to Expect Flexible online format with project-based learning Hands-on practice with HTML, CSS, and JavaScript Utilizes Python, SQL, PowerBI, and Tableau What You'll Achieve Gain proficiency in data analytics tools Develop skills for real-world data projects