SQL Courses

The University of Utah's Data Science Bootcamp is an intensive, self-paced online program designed to equip learners with essential data science skills. Covering Python, SQL, statistics, cloud computing, NLP, machine learning, and neural networks, this course offers comprehensive, hands-on training. Participants engage in project-based learning, ensuring practical application of theoretical knowledge. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required, open to all backgrounds Suitable for both technical and non-technical learners What to Expect Self-paced online format for flexible learning Hands-on projects using Python and SQL Focus on machine learning and neural networks What You'll Achieve Gain proficiency in data science tools and techniques Develop skills applicable to data-driven careers

SMU's Data Science Bootcamp is a comprehensive, online course designed for aspiring data scientists. It covers essential topics such as Python, SQL, statistics, cloud computing, natural language processing, machine learning, and neural networks. Delivered in a self-paced format, this bootcamp offers project-based learning to ensure hands-on experience with real-world applications. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; suitable for beginners Perfect for career switchers in tech What to Expect Self-paced online format for flexible learning Project-based approach with real-world applications Covers Python, SQL, ML, and more What You'll Achieve Gain proficiency in Python, SQL, and machine learning Applicable skills for data-driven careers

The Data Science & AI bootcamp is a comprehensive, online program that delves into statistics, data visualization, SQL, Tableau, machine learning, and artificial intelligence. This self-paced course emphasizes hands-on learning through real-world projects, equipping learners with essential skills in natural language processing and generative AI. Ideal for those looking to advance their career in data science, the bootcamp offers practical experience in the latest AI technologies. Before You Learn / Who This Course Is For Designed for both technical and non-technical learners Ideal for aspiring data scientists and analysts No prerequisites required What to Expect Self-paced online format with flexible scheduling Hands-on projects using SQL, Tableau, and AI tools Explore machine learning and natural language processing What You'll Achieve Gain proficiency in data visualization and AI Practical skills applicable to data science careers

The Data Science & AI Bootcamp is an intensive, immersive program focusing on essential data science topics and AI technologies. Delivered online, this self-paced course covers statistics, data visualization, SQL, Tableau, machine learning, natural language processing, and generative AI. Learners engage in project-based exercises designed to enhance practical understanding and application of these skills. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and AI enthusiasts Suitable for both technical and non-technical backgrounds No prerequisites required; a passion for learning is essential What to Expect Self-paced online format with flexible scheduling Hands-on projects with real-world data applications Utilization of tools like SQL, Tableau, and AI technologies What You'll Achieve Comprehensive understanding of data science and AI fundamentals Practical skills applicable to various industries Enhanced employability in data-driven roles

Michigan Tech's Data Science & AI Bootcamp is a comprehensive, self-paced online course designed for those looking to master data science and AI. Through hands-on projects, learners explore topics such as statistics, data visualization, SQL, Tableau, machine learning, and natural language processing. This bootcamp offers a flexible approach to learning, ideal for professionals seeking to upskill in the rapidly evolving tech landscape. Before You Learn / Who This Course Is For Suitable for both technical and non-technical learners Ideal for aspiring data scientists and analysts No prerequisites required What to Expect Self-paced online format with flexible scheduling Hands-on projects using SQL, Tableau, and AI tools Focus on real-world data science applications What You'll Achieve Gain skills in data visualization and machine learning Understand AI and natural language processing techniques

Tech Hut Academy's Data Science & AI Bootcamp is an intensive, self-paced online course designed to equip learners with essential skills in data science and artificial intelligence. The curriculum covers SQL, Python, Git, Pandas, data visualization, data analytics, Power BI, natural language processing, machine learning, cloud computing, and generative AI. Through project-based learning, participants gain hands-on experience, enhancing their technical proficiency and career readiness. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and AI enthusiasts Suitable for both technical and non-technical backgrounds No prerequisites required; open to all skill levels What to Expect Self-paced online format for flexible learning Hands-on projects with real-world data applications Comprehensive coverage of AI and data science tools What You'll Achieve Earn a certificate of completion from Tech Hut Academy Master skills in Python, SQL, and machine learning Enhance career prospects in data-driven roles

Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles.

A 114-hour certificate covering data science fundamentals in Python and SQL. Coursework starts with database querying and Python programming with the core data science libraries, then moves through preparing and cleaning data and automating aggregation, updates, and formatting. Students then build and evaluate machine learning models on real datasets, cleaning and balancing data with Pandas and applying algorithms with scikit-learn, and produce dashboards and visualizations with libraries including Matplotlib, Seaborn, Plotly, and Dash. Projects are hosted on GitHub, and the program includes personalized mentorship with feedback and interview preparation, closing with a capstone.

UCSB's 28-week Data Science & Analytics Bootcamp offers hands-on training in data visualization, predictive analytics, and more. Students learn to use Power BI, Excel, and Transact-SQL, mastering techniques to communicate data effectively. The course includes training in safeguarding against online threats and manipulating data with Power BI and APIs, providing a comprehensive skill set in data science. Before You Learn / Who This Course Is For Open to beginners and professionals Ideal for aspiring data analysts and business intelligence developers No prerequisites required What to Expect Self-paced online format over 28 weeks Hands-on projects using Power BI and Excel Focus on data visualization and predictive analytics What You'll Achieve Gain skills in data visualization and predictive analytics Develop proficiency in Power BI and Transact-SQL

Integrify Academy's Data Science and Machine Learning Program is a five-month, intensive online course designed to equip learners with essential skills for an entry-level data science role. The program covers data cleaning, analysis, visualization, machine learning, and cloud deployment using technologies like Python, Numpy, Pandas, Keras, and Tensorflow. Delivered through live lectures, mentoring, and hands-on projects, participants will gain practical experience and receive job search support throughout the course. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites; open to all backgrounds Perfect for career changers and new graduates What to Expect Live lectures and mentoring sessions Hands-on projects with code review Collaboration with peers and guided assignments What You'll Achieve Gain entry-level data science skills Develop machine learning models and deploy using cloud Receive job search support and guidance