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    • Sql

    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

    • I

      IBM

      SQL: A Practical Introduction for Querying Databases

      Skills you'll gain: SQL, Stored Procedure, Relational Databases, MySQL, Query Languages, Database Management, Databases, Cloud Management, Database Management Systems, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      569 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, MySQL, Relational Databases, Databases, Stored Procedure, Database Management, Database Design, Query Languages, Data Manipulation, Jupyter, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      D

      DeepLearning.AI

      DeepLearning.AI Data Analytics

      Skills you'll gain: Data Storytelling, Google Sheets, Data Presentation, Spreadsheet Software, Dashboard, Data Visualization Software, Interactive Data Visualization, Tableau Software, Web Scraping, Data Visualization, Time Series Analysis and Forecasting, Descriptive Statistics, Probability & Statistics, Statistical Analysis, Pandas (Python Package), Statistics, Statistical Modeling, SQL, Databases, JSON

      4.7
      Rating, 4.7 out of 5 stars
      ·
      43 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      I

      IBM

      IBM Business Analyst

      Skills you'll gain: Data Storytelling, Requirements Elicitation, Risk Mitigation, Business Analysis, Business Process Modeling, Data Presentation, Risk Analysis, Project Scoping, Process Mapping, Process Optimization, Data Visualization, Requirements Management, Risk Management, Interactive Data Visualization, Business Requirements, Stakeholder Management, Stakeholder Engagement, Excel Formulas, Microsoft Excel, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of California, Davis

      Learn SQL Basics for Data Science

      Skills you'll gain: Data Governance, Presentations, Data Cleansing, Feature Engineering, SQL, Apache Spark, A/B Testing, Distributed Computing, Descriptive Statistics, Data Lakes, Data Quality, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Manipulation, Data Pipelines, Databricks, JSON, Database Design, Query Languages

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California, Davis

      SQL for Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Descriptive Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Oracle SQL Databases

      Skills you'll gain: Oracle SQL Developer, SQL, Oracle Databases, PL/SQL, Database Design, Database Theory, Database Management Systems, Database Administration, Relational Databases, Database Management, Databases, Database Software, Database Architecture and Administration, Database Development, Data Storage, Query Languages, Transaction Processing, Stored Procedure, Data Access, Data Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      842 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      PostgreSQL for Everybody

      Skills you'll gain: Stored Procedure, Database Design, SQL, Relational Databases, NoSQL, PostgreSQL, Database Architecture and Administration, Database Systems, Database Theory, Database Management, Data Modeling, Databases, JSON, Database Development, Scalability, Distributed Computing, Cloud Applications, Data Manipulation, Text Mining, Query Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Power BI Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Excel Formulas, Extract, Transform, Load, Power BI, Data Analysis Expressions (DAX), Microsoft Excel, Data Modeling, Data-Driven Decision-Making, Star Schema, Data Analysis, Data Presentation, Data Visualization Software, Microsoft Power Platform, Data Integrity, Spreadsheet Software, Data Validation, Data Transformation, Data Cleansing, Data Visualization

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Data Analysis with Python

      Skills you'll gain: Data Cleansing, Data Analysis, Data Manipulation, Data Import/Export, Exploratory Data Analysis, Predictive Analytics, Data Science, Statistical Analysis, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Statistical Modeling, Machine Learning Methods, Feature Engineering, Python Programming, NumPy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      SQL for Data Science with R

      Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Access

      4.3
      Rating, 4.3 out of 5 stars
      ·
      174 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Understanding Basic SQL Syntax

      4.7
      Rating, 4.7 out of 5 stars
      ·
      291 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • SQL: A Practical Introduction for Querying Databases: IBM
    • Databases and SQL for Data Science with Python: IBM
    • DeepLearning.AI Data Analytics: DeepLearning.AI
    • IBM Business Analyst: IBM
    • Learn SQL Basics for Data Science: University of California, Davis
    • SQL for Data Science: University of California, Davis
    • Oracle SQL Databases: LearnQuest
    • PostgreSQL for Everybody: University of Michigan
    • Microsoft Power BI Data Analyst: Microsoft
    • Data Analysis with Python: IBM

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    Python Programming (47)
    Business Analytics (40)
    R Programming (37)
    Statistical Analysis (36)
    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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