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    SQL Courses Online

    Learn SQL for managing databases. Understand how to write queries, manage data, and optimize database performance.

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    Explore the SQL Course Catalog

    • Placeholder
      Status: New
      New

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 繁體中文

      Skills you'll gain: Exploratory Data Analysis, Data Pipelines, Big Data, Google Cloud Platform, Data Visualization Software, Generative AI, SQL, Artificial Intelligence, Debugging

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Amazon Web Services

      Getting Started with Amazon DocumentDB (with MongoDB compatibility)

      Skills you'll gain: Amazon Web Services, MongoDB, NoSQL, Cloud-Based Integration, Cloud Applications, Operational Databases

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Amazon Web Services

      Getting Started with Amazon Neptune

      Skills you'll gain: Amazon Web Services, Databases, Database Management, Database Administration, NoSQL, Database Architecture and Administration

      Beginner · Course · 1 - 4 Weeks

    • Google Cloud

      Building Resilient Streaming Analytics Systems on GC - 한국어

      Skills you'll gain: Data Pipelines, Google Cloud Platform, Real Time Data, Data Processing, Big Data, Analytics, Cloud Services, Performance Tuning, Scalability

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      Smart Analytics, Machine Learning and AI on GC - 한국어

      Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Big Data, Cloud API, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter

      Intermediate · Course · 1 - 3 Months

    • Pontificia Universidad Católica de Chile

      Certificado en Toma de Decisiones Basadas en Datos

      Skills you'll gain: Descriptive Analytics, Business Analytics, Database Design, NoSQL, Statistical Reporting, SQL, Data Ethics, Digital Transformation, Query Languages, Data Mining, Databases, Data Analysis, R Programming, Big Data, Data-Driven Decision-Making, Predictive Analytics, Organizational Structure, Business Transformation, Organizational Strategy, Value Propositions

      Credit offered

      Mastertrack · 6 - 12 Months

    • Placeholder

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, Model Based Systems Engineering, New Product Development, Field-Programmable Gate Array (FPGA), Data Mining, Strategic Decision-Making, Delegation Skills, Sampling (Statistics), Failure Analysis, Supplier Management, Sustainability Reporting, Data Ethics, Statistical Modeling, Database Design, Unsupervised Learning, Goal Setting, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives

      Earn a degree

      Degree · 1 - 4 Years

    • Placeholder

      Northeastern University

      Master of Science in Data Analytics Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • Placeholder

      University of Pittsburgh

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • Placeholder

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Supervised Learning, Data Ethics, Unsupervised Learning, Exploratory Data Analysis, PySpark, Bayesian Statistics, Ggplot2, Dimensionality Reduction, Linear Algebra, Big Data, Anomaly Detection, Data Analysis, Data Visualization, A/B Testing, Data Transformation, Deep Learning, Unstructured Data, Data Pipelines, Applied Machine Learning, Learning Strategies

      Earn a degree

      Degree · 1 - 4 Years

    SQL learners also search

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    1…87888990

    In summary, here are 10 of our most popular sql courses

    • Boost Productivity with Gemini in BigQuery - 繁體中文: Google Cloud
    • Getting Started with Amazon DocumentDB (with MongoDB compatibility): Amazon Web Services
    • Getting Started with Amazon Neptune: Amazon Web Services
    • Building Resilient Streaming Analytics Systems on GC - 한국어: Google Cloud
    • Smart Analytics, Machine Learning and AI on GC - 한국어: Google Cloud
    • Certificado en Toma de Decisiones Basadas en Datos: Pontificia Universidad Católica de Chile
    • Master of Science in Data Science: University of Colorado Boulder
    • Master of Science in Data Analytics Engineering: Northeastern University
    • Master of Data Science: University of Pittsburgh
    • Master of Science in Machine Learning and Data Science: Imperial College London

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    Python Programming (47)
    Business Analytics (40)
    R Programming (37)
    Statistical Analysis (36)
    Sql (33)
    Data Model (29)
    Data Mining (27)
    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

    Frequently Asked Questions about Sql

    Knowing why you need SQL, whether for data analysis, database management, or web development, can sharpen your focus. Regular practice with SQL queries enhances your problem-solving efficiency. Online communities like Stack Overflow and SQL subreddits can offer support and solving challenges. Work on real projects such as building and querying your own databases. SQL for Data Science by the University of California, Davis is a valuable course to start with.‎

    SQL courses on Coursera help equip learners with crucial database management and querying skills:

    • Basic to advanced SQL commands for data retrieval, insertion, updating, and deletion
    • Techniques for designing and managing relational databases
    • Skills in writing complex queries to analyze and manipulate data
    • Understanding of database optimization and performance tuning
    • Application of SQL in data science for querying large datasets
    • Integration of SQL with other data analysis tools and languages‎

    SQL courses on Coursera are designed to accommodate all learners, regardless of their background:

    • Beginners can start with introductory courses that explain the fundamentals of SQL and relational databases.
    • Intermediate learners can enhance their skills with more complex data manipulation and optimization techniques.
    • Advanced users can explore specialized topics such as SQL for data science or database administration.‎

    After completing SQL courses on Coursera, learners can acquire credentials that may help in their career progression:

    • Professional certificates that validate your SQL skills and understanding of database management
    • Specializations that focus on specific applications of SQL, such as business intelligence or data warehousing
    • Certificates that are recognized in the tech industry and can bolster your professional qualifications‎

    SQL skills are highly sought after in various fields:

    • Database Administrator, managing and maintaining database systems
    • Data Analyst, extracting and analyzing data from complex databases
    • Business Intelligence Analyst, using SQL to create dashboards and reports for strategic decisions
    • Software Developer, integrating SQL into application development for data-driven functionalities
    • Data Scientist, leveraging SQL to manage and query large datasets for advanced analyses‎

    Yes, Coursera offers a variety of free courses across many topics, including SQL. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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