SQL Courses
Find the right course to build your skills or take the next step in your career.
916 courses
5.0
The Data Science & AI Bootcamp is an intensive, live online course designed to equip learners with critical skills in data analysis and artificial intelligence. Covering comprehensive topics such as statistics, machine learning, and cloud computing, this bootcamp offers practical, hands-on experience. Participants engage in project-based learning to master data visualization, SQL, and deep learning techniques, ensuring they are well-prepared for the evolving data industry. 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 prerequisites; open to all learners What to Expect Live instruction with interactive, hands-on projects Comprehensive coverage of data science and AI tools Collaborative learning environment with real-world applications What You'll Achieve Earn a certificate upon completion Gain practical skills in data analysis and AI Apply knowledge to enhance career opportunities
5.0
The Data Science & AI Bootcamp is an intensive online program designed for professionals to master data science and artificial intelligence. Focusing on key topics such as statistics, data visualization, SQL, and machine learning, the bootcamp offers a comprehensive, project-based learning experience. Participants will also delve into advanced concepts like natural language processing and generative AI, equipping them with skills essential for modern data-driven roles. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; open to all backgrounds Suited for technical and non-technical professionals What to Expect Online, self-paced learning with project-based modules Hands-on practice with SQL, Tableau, and AI tools In-depth exploration of machine learning techniques What You'll Achieve Gain proficiency in data analysis and AI applications Receive a certificate of completion Skills applicable to careers in data science and AI
5.0
The 28-week Data Science and Analytics Bootcamp offers a comprehensive online learning experience. Students will gain proficiency in data analysis and visualization using Excel and Power BI. The curriculum includes Azure HDInsight, Spark, Transact-SQL, machine learning, R programming, Python, and predictive analysis. It also emphasizes analytics storytelling, ethics, and essential math for machine learning. The program concludes with personalized bonus tracks to tailor the learning experience. Before You Learn / Who This Course Is For Open to aspiring data scientists and analysts No prerequisites required; suitable for beginners Ideal for career switchers seeking data skills What to Expect 28-week online bootcamp with structured curriculum Hands-on practice with Excel, Power BI, and Python Choose personalized bonus tracks for focused learning What You'll Achieve Proficiency in data analysis and visualization tools Skills in machine learning and predictive analysis Ability to manage cloud resources with Azure HDInsight
5.0
Hofstra's 28-week Data Science & Analytics Bootcamp provides comprehensive hands-on training in essential data skills. This non-credit course covers data visualization, predictive analytics, and coding with Power BI and APIs. Learners will gain expertise in Excel and Transact-SQL while mastering mathematical concepts for data analysis. The bootcamp emphasizes practical applications and effective data communication, preparing students to safeguard against hacking and perform advanced data manipulations. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; open to all backgrounds Perfect for individuals seeking hands-on data skills What to Expect Online, self-paced learning over 28 weeks Practical training in Excel, Power BI, and Transact-SQL Focus on data visualization and predictive analytics What You'll Achieve Mastery of data visualization and analytics techniques Ability to communicate organizational data effectively
5.0
Xccelerate's 6-week part-time evening course offers a comprehensive introduction to data science and machine learning. Designed for beginners, this online program covers essential tools and techniques for data manipulation and visualization using Python libraries. Participants engage in hands-on learning through Jupyter Notebooks, exploring algorithms and machine learning concepts to transform raw data into actionable insights. Before You Learn / Who This Course Is For Ideal for beginners in data science Open to technical and non-technical learners No prerequisites required What to Expect Part-time evening online course Hands-on projects using Jupyter Notebooks Introduction to Python libraries and algorithms What You'll Achieve Data Science certification upon completion Skills in data manipulation and visualization Understanding of machine learning concepts
5.0
Jedha's Data Scientist Formation is a comprehensive program designed to develop advanced skills in Data Science, Data Engineering, and Machine Learning. Over 450 hours, students engage in a self-paced, online bootcamp that spans 3 months or up to 30 weeks on demand. The course offers a blend of hands-on projects and expert-led instruction, ideal for individuals aiming to transition into data-focused careers. Before You Learn / Who This Course Is For Suitable for aspiring Data Scientists and Engineers Open to both beginners and experienced professionals No specific prerequisites required What to Expect Self-paced online learning over 3 months or 30 weeks Hands-on projects and real-world data applications Comprehensive coverage of Data Science and Machine Learning What You'll Achieve Develop advanced data analysis and engineering skills Prepare for a career transition in data roles
5.0
Jedha's Data Engineer course equips learners with dual competencies in Data Science and Data Engineering. Delivered online, the course is available as a three-week bootcamp or an eight-week self-paced program. Participants will enhance their skills in Machine Learning, Reinforcement Learning, and Data Engineering through comprehensive, hands-on learning experiences. Before You Learn / Who This Course Is For Designed for data professionals enhancing their skills Ideal for aspiring Data Scientists and Engineers No specific prerequisites mentioned What to Expect Online delivery with flexible pacing options Hands-on learning in Machine Learning and Data Engineering Project-based exercises to apply new skills What You'll Achieve Enhanced skills in Machine and Reinforcement Learning Expertise in Data Engineering techniques Preparedness for hybrid Data Scientist roles
5.0
Intellipaat's Data Science & AI Bootcamp offers immersive training in Python, SQL, machine learning, NLP, and Generative AI. This online, instructor-led course provides hands-on experience with tools like Power BI through real-world projects. Participants will earn a certification co-issued by iHUB IIT Roorkee and Microsoft, enhancing their career prospects by learning from IIT Roorkee faculty and industry experts. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and AI professionals Open to both technical and non-technical backgrounds No prerequisites required, beginners welcome What to Expect Live sessions by IIT Roorkee faculty and industry experts Hands-on projects using Python, SQL, and Power BI In-depth training in machine learning and NLP What You'll Achieve Certification co-issued by iHUB IIT Roorkee and Microsoft Proficiency in advanced data science and AI tools Skills applicable to real-world data science careers
5.0
Analyticamp's Data Science Professional Bootcamp is an intensive, live online program focusing on software engineering fundamentals, Python, R, SQL, data analysis, machine learning, and deep learning. Delivered through a project-based approach, this bootcamp empowers learners with hands-on experience in data science tools and techniques. Ideal for aspiring data professionals, the course provides comprehensive training to build practical skills for the data-driven world. Before You Learn / Who This Course Is For Aspiring data science professionals Ideal for those with basic programming knowledge No formal prerequisites required What to Expect Live online instruction with interactive sessions Hands-on projects using Python, R, and SQL Focus on machine learning and deep learning techniques What You'll Achieve Comprehensive data science skill set Proficiency in Python, R, and SQL Applicability to various data-centric roles
5.0
Dallas Data Science Academy offers a comprehensive course designed for aspiring Data Analysts, Data Scientists, and AI Engineers. This in-person class focuses on real-world applications, engaging students with actual business cases from local startups. Led by experienced, U.S.-based professionals, the course covers essential tools like Tableau, Python, R, SQL, and Machine Learning. Students benefit from a project-based learning approach that emphasizes practical skills and industry relevance. Before You Learn / Who This Course Is For Aspiring Data Analysts, Data Scientists, AI Engineers Ideal for those seeking practical, real-world applications No prerequisites; suitable for beginners and intermediates What to Expect In-person, project-based learning with real business cases Hands-on experience with Tableau, Python, R, SQL Guidance from experienced U.S.-based Data Scientists What You'll Achieve Practical skills in data analysis and AI applications Experience solving real-world business challenges
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.