SQL Courses
Find the right course to build your skills or take the next step in your career.
916 courses
5.0
CodingNomads offers a part-time, four-month online program focusing on Java and computer science fundamentals. This self-paced course includes Java, SQL, and Git & GitHub, essential skills for various industries. Learners receive personalized mentorship, engaging in regular one-on-one sessions with mentors for guidance and support, while completing coursework on their own schedule. This program serves as the initial stage of the Java Enterprise Career Track. Before You Learn / Who This Course Is For Ideal for aspiring Java developers and career changers No prerequisites; suitable for beginners Perfect for those seeking flexible, part-time learning What to Expect Self-paced learning with structured modules Regular mentor-led screen-sharing calls Access to a supportive community and resources What You'll Achieve Gain proficiency in Java, SQL, and Git Receive personalized feedback and guidance Prepare for advanced Java career tracks
5.0
The 42 program offers a flexible, self-paced learning experience spanning 3 to 5 years. It is designed to equip students with essential skills for the tech industry, focusing on practical, project-based learning. The program is conducted online, allowing students to progress through requirements at their individual pace, ensuring a comprehensive understanding of the material. Before You Learn / Who This Course Is For Aspiring tech professionals and developers Ideal for self-motivated learners No specific prerequisites required What to Expect Self-paced online learning format Project-based activities for practical skills Collaborative projects with peers What You'll Achieve Comprehensive tech industry skills Readiness for various tech roles
5.0
CoderSchool offers an intensive, full-time Machine Learning course designed for aspiring Data Analysts and Machine Learning Engineers. Held on-campus in Ho Chi Minh City, this 12-week program runs from Monday to Friday, with optional weekend sessions. Participants will gain hands-on experience with Python, TensorFlow, SQL, and Deep Neural Networks, ensuring they acquire essential skills for the field. Before You Learn / Who This Course Is For Aspiring Data Analysts and Machine Learning Engineers Open to all with passion and commitment No specific technical prerequisites required What to Expect Full-time, on-campus instruction in Ho Chi Minh City Hands-on experience with Python and TensorFlow Interactive sessions from 10AM-6PM, Monday to Friday What You'll Achieve Mastery of Python, TensorFlow, SQL, and Deep Neural Networks Skills applicable to data analysis and machine learning roles
5.0
Neue Fische's Machine Learning Engineer Bootcamp is a four-week online program designed to equip learners with essential skills for building production-ready machine learning systems. Participants engage in project-based learning across four key modules: Software Engineering for Data Scientists, Data Engineering, Machine Learning Engineering, and Monitoring and Alerting. This comprehensive bootcamp offers practical training to prepare students for careers as machine learning engineers. Before You Learn / Who This Course Is For Suitable for aspiring machine learning engineers Ideal for those with a data science interest No specific prerequisites required What to Expect Four-week online, project-based structure Modules include hands-on software and data engineering Focus on monitoring and alerting techniques What You'll Achieve Gain skills to build production-ready ML systems Prepare for a career in machine learning engineering
5.0
This comprehensive course equips participants with essential data science and machine learning skills through an intensive program. Spanning eight weeks, it combines over 240 hours of in-class training with extensive lab sessions and mentoring. Participants will develop crucial leadership and communication abilities to deliver impactful results in business settings. With a focus on practical applications, learners will engage in five projects and a capstone project, supported by career management services. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and ML engineers Requires intermediate Python and basic SQL knowledge Familiarity with Linux and Git/GitHub needed What to Expect Eight-week program with 240+ hours of training Includes 180+ hours of lab and project sessions Hands-on projects and capstone for practical skills What You'll Achieve Gain skills for roles like Data Scientist and ML Engineer Access to career management support until first hire
5.0
The Power MBA's Data Analytics course is a 16-week, self-paced online program focusing on data analysis, data modeling, and programming languages like Python and R. Tailored for Business Intelligence applications, the course includes 11 modules with 15-minute classes and live mentorship sessions. Students engage in project-based learning, utilizing tools to create reports and visualizations, supported by a global community and industry professionals. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and BI professionals Business Intelligence focus with no prerequisites Suitable for both technical and non-technical learners What to Expect Self-paced 16-week online program Project-based learning with live mentorship Access to a global community and networking events What You'll Achieve Proficiency in data analysis and modeling techniques Ability to create impactful BI reports and dashboards
5.0
The microcredential courses provide focused, short-term online training in various tech disciplines. Ideal for those looking to upskill, the courses cover topics like AI interaction, cybersecurity, data analysis, programming, and more. Delivered through project-based learning, these courses ensure practical skill development in a flexible format. Before You Learn / Who This Course Is For Open to all skill levels Ideal for career changers and upskillers No prerequisites required What to Expect Self-paced online modules Project-based learning for practical skills Access to diverse tech topics What You'll Achieve Earn a microcredential upon completion Gain practical skills in tech disciplines
5.0
Nuclio Digital School's Master in Data Science & AI provides a comprehensive, hands-on learning experience that covers the entire data science lifecycle. This program, delivered online, focuses on practical applications of Machine Learning, Deep Learning, and Generative AI, including a module on intelligent agents and LLMs with LangChain. Designed to equip learners with industry-relevant skills, the course ensures participants are well-prepared for the evolving demands in Big Data, Analytics, and advanced AI sectors. Before You Learn / Who This Course Is For Aspiring data scientists and AI professionals Ideal for those seeking Big Data and Analytics roles No specific prerequisites required What to Expect Online delivery with practical, hands-on modules Focus on Machine Learning, Deep Learning, Generative AI Includes intelligent agents and LLMs with LangChain What You'll Achieve Proficiency in data science and AI applications Readiness for advanced roles in Big Data and AI
5.0
Hacktiv8's Comprehensive Data Analytics (CODA) Bootcamp is a 12-week online program designed to equip participants with essential skills in data analysis and engineering. Spanning 180 hours, the bootcamp includes three phases: Basic Programming, Fundamental Data Analysis, and Automating Data Transformation. Delivered remotely with a balanced mix of theory and practical application, learners engage in industry-relevant case studies and real projects to ensure hands-on experience. Before You Learn / Who This Course Is For Aspiring data analysts and engineers Ideal for those seeking structured, intensive learning No prerequisites; open to all skill levels What to Expect Remote learning with live sessions 50% theory and 50% hands-on practice Industry-relevant case studies and real projects What You'll Achieve Proficiency in data analysis and engineering skills Experience with real-world data projects
5.0
WBS CODING SCHOOL's One Year Data Science & AI Program offers a comprehensive, ten-month online training followed by a two-month internship. The course focuses on data analysis, machine learning, big data, and cloud technologies. Participants gain hands-on experience and have the opportunity to earn DP900 Azure and PCEP Python certifications. A new MacBook Air is provided for project work and remains with students post-graduation. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and AI specialists No prior experience required Suitable for learners seeking hands-on, practical training Taught in English and German What to Expect Ten-month intensive training with a two-month internship Hands-on projects in data analysis and machine learning Course includes a new MacBook Air for studies What You'll Achieve Prepare for the DP900 Azure and PCEP Python certifications Proficiency in data science and AI technologies Real-world experience through internship
Frequently Asked Questions
How do I choose a course for my goals?
Start with the skill you want to learn and the work you want to do with it. Compare the syllabus, projects, instructor feedback, total cost, and time commitment. A short course can help you explore a topic; a longer program may offer more structure and practice.
Should I choose a live, self-paced, or in-person course?
Live classes provide scheduled instruction and opportunities to ask questions. Self-paced courses give you more control over when you study, but check what support and deadlines are included. For in-person options, factor in travel as well as class and practice time.
Do I need experience before enrolling?
Entry requirements vary. Read the prerequisites and look for required software, technical skills, or an admissions assessment. If you are new to the subject, try an introductory lesson and ask the provider how it supports beginners before committing.
Can a course help me change careers?
A course can help you build skills and projects, but completing it does not guarantee a job. Compare the curriculum with the roles you want, read alumni reviews, and ask what career support and outcomes data the provider shares.
