SQL Courses
Find the right course to build your skills or take the next step in your career.
916 courses
4.67
The Big Data & Gen AI Bootcamp is a five-month, part-time program designed to develop key data analyst skills. It offers online, project-based learning, starting with foundational programming and data concepts. Participants will explore Generative AI applications and prepare for Databricks certifications. The course concludes with job readiness training, equipping students for roles in big data. Before You Learn / Who This Course Is For Aspiring data analysts and engineers Ideal for those seeking a career in big data No prior experience required What to Expect Part-time, online, project-based learning Generative AI applications and Databricks prep Job readiness training and support What You'll Achieve Prepare for Databricks Data Analyst certification Develop skills in AI and data engineering Gain job-ready expertise in big data
4.67
Big Blue Academy's Business Intelligence Bootcamp is an immersive, hands-on course designed to equip learners with essential BI skills. Delivered online, this program covers core tools like Excel, SQL, Power BI, and Tableau for data preparation and reporting. Participants will also enhance their data storytelling and presentation abilities, learning advanced visualization techniques and KNIME methodologies for impactful market analysis. Before You Learn / Who This Course Is For Ideal for aspiring BI professionals from diverse backgrounds No prerequisites required; open to all skill levels Designed for those seeking strategic data insights What to Expect Online, immersive hands-on training format Exercises in Excel, SQL, Power BI, and Tableau Focus on data visualization and strategic analysis What You'll Achieve Mastery of essential BI tools and techniques Enhanced data storytelling and presentation skills Applicable skills for real-world decision making
4.67
San José State University's live online coding bootcamp provides in-demand full-stack JavaScript skills, preparing students for job readiness. The course covers tools like HTML5, CSS, JavaScript (ES6), React, Redux, and more. With an emphasis on practical application through pair programming and projects, students build a strong portfolio. Career preparation includes personalized coaching, interview practice, and resume optimization. Before You Learn / Who This Course Is For Aspiring full-stack developers and tech enthusiasts No prerequisites; beginners welcome Ideal for career switchers seeking web development skills What to Expect Live online instruction with pair programming Hands-on projects using JavaScript, React, and SQL Career support with coaching and resume building What You'll Achieve Job-ready full-stack JavaScript proficiency Portfolio showcasing industry-standard projects Enhanced employability with personalized career coaching
4.67
The Data Analyst Fellowship is an online program designed to equip learners with essential data analysis skills. Covering tools like Excel, SQL, Tableau, and Python, the course provides a comprehensive curriculum for aspiring data analysts. Through project-based learning, participants will engage with real-world data scenarios to build competence in data visualization and analysis. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and professionals Open to both technical and non-technical backgrounds No prerequisites required for enrollment What to Expect Self-paced online format with flexible scheduling Hands-on projects using Excel, SQL, and Python Focus on practical data visualization and analysis What You'll Achieve Mastery of tools like Tableau and Numpy Skills applicable in data-driven roles Comprehensive understanding of database design
4.67
The Data Analyst/Science Career Program provides a comprehensive pathway for aspiring data professionals. Delivered in an online, self-paced format, this course covers essential topics such as data cleaning, analysis, and visualization using tools like SQL, Python, Excel, PowerBI, and Tableau. With a focus on stakeholder management and practical skills, learners engage in project-based activities to gain hands-on experience. Before You Learn / Who This Course Is For Aspiring data analysts and scientists No prerequisites; suitable for beginners Ideal for career changers seeking data roles What to Expect Self-paced online learning format Hands-on projects using Python, SQL, and more Focus on data cleaning and visualization skills What You'll Achieve Proficiency in data tools like Tableau and PowerBI Practical skills for data analysis and visualization
4.67
Spiced Academy's Data Analytics Program is an intensive, nine-week, full-time course held on-site in Berlin. This hands-on program is designed for individuals with basic spreadsheet skills who wish to become proficient data analysts. Participants will learn Python, pandas, and SQL, and will engage in dynamic projects to cement their knowledge. The course includes a dedicated week for career coaching, covering CV preparation and interview techniques, ensuring students are job-ready upon completion. Before You Learn / Who This Course Is For Designed for beginners with spreadsheet experience Ideal for aspiring data analysts No coding experience required What to Expect On-site, full-time instruction in Berlin Hands-on projects using Python, pandas, SQL Career coaching including CV and interview prep What You'll Achieve Proficiency in data analytics tools and techniques Completion of real-world projects Career readiness with a polished CV
4.67
AUT's Data Science & AI Bootcamp is an intensive online program covering key topics such as statistics, data analysis, and machine learning. The course includes modules on SQL, natural language processing, AI, deep learning, and cloud computing. Delivered in a flexible format, the bootcamp offers hands-on projects and real-world applications to enhance learning and skill development. Before You Learn / Who This Course Is For Designed for aspiring data scientists and AI enthusiasts Suitable for both technical and non-technical backgrounds No specific prerequisites required What to Expect Flexible online learning with hands-on projects Focus on practical applications in data science and AI Covers tools like SQL, NLP, and cloud platforms What You'll Achieve Comprehensive skills in data visualization and AI Proficiency in machine learning and deep learning Enhanced career prospects in data science fields
4.67
The School of IT's Data Science Bootcamp is a comprehensive, online program designed for aspiring data scientists. Participants will develop expertise in Python, SQL, and various libraries such as Matplotlib, SciKit Learn, and NumPy. Through a hands-on approach, learners will gain practical skills in database design and AI solution development using Azure machine learning. This self-paced course equips students with essential techniques for building and automating machine learning models. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; beginners welcome Suitable for both technical and non-technical learners What to Expect Self-paced online format Hands-on practice with Python and SQL Projects involving AI solutions and machine learning models What You'll Achieve Gain practical data science skills Learn to build AI solutions with Azure Master Python libraries and SQL
4.67
Wcoding's 12-week intensive bootcamp offers a comprehensive coding education with a focus on HTML, CSS, JavaScript, PHP, and SQL. The program includes both foundational and advanced topics, delivered through a mix of lectures and hands-on projects. Designed for those aiming to join the tech industry, it provides practical experience in teamwork and modern development practices. Before You Learn / Who This Course Is For Suitable for all experience levels Ideal for aspiring developers and tech enthusiasts No prerequisites required What to Expect 12-week intensive bootcamp with hands-on projects Covers HTML, CSS, JavaScript, PHP, SQL Team-based project experiences What You'll Achieve Comprehensive coding skills across multiple languages Practical experience in team projects Preparation for tech industry roles
4.67
Reboot Academy’s Full Stack Web Developer bootcamp is a 12-week, full-time online program. It immerses students in essential web development languages like HTML, CSS, JavaScript, and more. Learners will also explore UX/UI design principles and gain entrepreneurship skills through project-based learning. The course concludes with four real-world projects, enhancing employability in tech roles. Before You Learn / Who This Course Is For Aspiring web developers and designers No prerequisites; open to all skill levels Ideal for career switchers into tech What to Expect Full-time online program over 12 weeks Hands-on projects and real-world applications Integration of technology, design, and business skills What You'll Achieve Completion of four real-world projects Comprehensive web development and design skills Preparation for tech industry roles
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.
