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    • Sql

    SQL Courses

    SQL courses can help you learn how to manage and query structured data in relational databases to support analysis, reporting, and application development.

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    Find the Best SQL Course for Your Goals

    • U

      University of California San Diego

      Teaching Impacts of Technology: Data Collection, Use, and Privacy

      Skills you'll gain: Data Ethics, Big Data, Cybersecurity, Pedagogy, Data Security, Cryptography, Information Privacy, Encryption, AI Personalization, Computer Science, Web Applications, Web Servers, Machine Learning, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Advanced Network Attacks, Web Hacking, and Cryptography

      Skills you'll gain: Mobile Security, Open Web Application Security Project (OWASP), Network Security, Wireless Networks, Cryptography, Encryption, Penetration Testing, Application Security, Intrusion Detection and Prevention, Threat Modeling, Web Applications, Vulnerability Assessments, Web Servers, Secure Coding, Internet Of Things, Cloud Security

      Intermediate · Course · 1 - 3 Months

    • E

      Edureka

      Power BI Capstone Project

      Skills you'll gain: Snowflake Schema, Power BI, Inventory Management System, Data Analysis, Data-Driven Decision-Making, Analytical Skills, Project Design, Dashboard, Data Warehousing, Database Design, Data Integration, SQL, Data Visualization Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Uso de bancos de dados com Python

      Skills you'll gain: SQL, Database Management, Relational Databases, Databases, Database Systems, Database Design, Query Languages, Data Visualization, Web Scraping, Data Processing, Object Oriented Programming (OOP), Data Modeling, Geospatial Mapping, Data Storage, Python Programming, Web Development, Data Collection

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Manipulation and Management using MYSQL Workbench

      Skills you'll gain: MySQL Workbench, MySQL, Database Management Systems, Database Management, Data Manipulation, Data Management, SQL, Databases, Query Languages, Data Integration

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      A

      Amazon Web Services

      Fundamentals of Analytics on AWS

      Skills you'll gain: Data-Driven Decision-Making, Data Lakes, Analytics, Data Architecture, Data Warehousing, Data Management, Data Analysis, Big Data, Business Analytics, Data Storage, Amazon Web Services, Machine Learning, Data Strategy

      4.4
      Rating, 4.4 out of 5 stars
      ·
      23 reviews

      Mixed · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Jakarta Persistence (JPA)

      Skills you'll gain: Hibernate (Java), Object-Relational Mapping, Java Platform Enterprise Edition (J2EE), Data Access, Java, Relational Databases, Data Mapping, SQL, Databases, Query Languages, Transaction Processing

      5
      Rating, 5 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Preparing for the Google Cloud Professional Data Engineer Exam 日本語版

      Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Data Pipelines, Data Infrastructure, Data Analysis, Google Cloud Platform, Data Architecture, Data Visualization, Data Modeling, Machine Learning, Data Warehousing, Cloud Security, Scalability, SQL

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Oracle Database Administration from Zero to Hero

      Skills you'll gain: Oracle Databases, Database Administration, Relational Databases, Database Management Systems, Database Architecture and Administration, Data Import/Export, PL/SQL, Patch Management, Database Systems, Operational Databases, Multi-Tenant Cloud Environments, Data Migration, Database Management, Data Storage Technologies, Software Installation, Performance Tuning, User Accounts, System Configuration, SQL, Virtual Environment

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      Data Science with NumPy, Sets, and Dictionaries

      Skills you'll gain: Data Structures, NumPy, Data Science, Object Oriented Programming (OOP), Python Programming, Big Data, Data Analysis, Image Analysis, Data Manipulation, Descriptive Statistics, Performance Tuning

      3.5
      Rating, 3.5 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Politecnico di Milano

      Platform Thinking: exploiting data through platforms

      Skills you'll gain: Data Strategy, Data Ethics, Customer Data Management, Market Opportunities, Data Governance, Data-Driven Decision-Making, Big Data, Customer Insights, Personally Identifiable Information, Advertising, Business Ethics, User Research, Innovation, Business Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Data Catalog: Qwik Start

      Skills you'll gain: Metadata Management, Google Cloud Platform, Big Data, Exploratory Data Analysis, Data Management, Data Access, Cloud API

      Beginner · Project · Less Than 2 Hours

    Searches related to sql

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    sql: a practical introduction for querying databases
    1…585960…91

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

    • Teaching Impacts of Technology: Data Collection, Use, and Privacy: University of California San Diego
    • Advanced Network Attacks, Web Hacking, and Cryptography: Packt
    • Power BI Capstone Project: Edureka
    • Uso de bancos de dados com Python: University of Michigan
    • Data Manipulation and Management using MYSQL Workbench: Coursera Project Network
    • Fundamentals of Analytics on AWS: Amazon Web Services
    • Jakarta Persistence (JPA): LearnQuest
    • Preparing for the Google Cloud Professional Data Engineer Exam 日本語版: Google Cloud
    • Oracle Database Administration from Zero to Hero: Packt
    • Data Science with NumPy, Sets, and Dictionaries: Duke University

    Why Learn SQL?

    SQL (Structured Query Language) is the standard language for storing, retrieving, and managing data in relational databases. It’s a critical skill in data analysis, business intelligence, and software development. Learning SQL helps you work efficiently with data, uncover insights, and support decision-making across industries.

    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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