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    936 Ergebnisse für „sql“

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      University of California, Davis

      SQL for Data Science

      Kompetenzen, die Sie erwerben: Data Management, SQL, Databases, Statistical Programming

      4.6

      (14.6k Bewertungen)

      Beginner · Course · 1-4 Weeks

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      University of Colorado Boulder

      The Structured Query Language (SQL)

      Kompetenzen, die Sie erwerben: Data Management, Databases, SQL, Statistical Programming, PostgreSQL, Database Administration, Database Application, Database Theory, Theoretical Computer Science, Data Science

      4.7

      (378 Bewertungen)

      Beginner · Course · 1-3 Months

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      University of California, Davis

      Learn SQL Basics for Data Science

      Kompetenzen, die Sie erwerben: SQL, Data Management, Statistical Programming, Apache, Big Data, Databases, Data Analysis, Data Analysis Software, Extract, Transform, Load, Data Warehousing, Machine Learning, Basic Descriptive Statistics, Computer Programming, Data Science, Exploratory Data Analysis, General Statistics, Leadership and Management, Probability & Statistics, Python Programming, Statistical Analysis

      4.6

      (15.4k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Understanding Basic SQL Syntax

      Kompetenzen, die Sie erwerben: Data Management, Databases, SQL, Statistical Programming

      4.6

      (34 Bewertungen)

      Beginner · Guided Project · Less Than 2 Hours

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      University of Michigan

      Introduction to Structured Query Language (SQL)

      Kompetenzen, die Sie erwerben: Databases, SQL, Data Management, Database Application, Database Design, Statistical Programming

      4.8

      (5k Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Introduction to Relational Database and SQL

      Kompetenzen, die Sie erwerben: Databases, SQL, Data Management, Data Science, Statistical Programming

      4.6

      (1.8k Bewertungen)

      Beginner · Guided Project · Less Than 2 Hours

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      IBM Skills Network

      SQL: A Practical Introduction for Querying Databases

      Kompetenzen, die Sie erwerben: Data Management, Databases, SQL, Statistical Programming, Amazon Web Services, Cloud Computing, Data Analysis

      4.5

      (22 Bewertungen)

      Beginner · Course · 1-3 Months

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      Google

      Google Data Analytics

      Kompetenzen, die Sie erwerben: Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (108k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Data Analyst

      Kompetenzen, die Sie erwerben: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Data Structures, Statistical Programming, Data Science, Statistical Visualization, Plot (Graphics), Data Management, General Statistics, SQL, Databases, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Computer Programming, Data Analysis Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Data Visualization Software, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Application, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Database Administration, Econometrics, Interactive Data Visualization, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (62.6k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      Cloudera

      Modern Big Data Analysis with SQL

      Kompetenzen, die Sie erwerben: Data Management, Databases, SQL, Big Data, Statistical Programming, Data Structures, Cloud Computing, Theoretical Computer Science, Apache, Computer Architecture, Distributed Computing Architecture, Cloud Platforms, Human Computer Interaction, Software Engineering, User Experience, Cloud Storage, Computer Programming, Programming Principles, Data Model, Database Administration, Database Design, Database Theory, Data Analysis, Data Warehousing, Database Application

      4.8

      (1.4k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Duke University

      Excel to MySQL: Analytic Techniques for Business

      Kompetenzen, die Sie erwerben: Data Analysis, Probability & Statistics, Business Analysis, Spreadsheet Software, General Statistics, Databases, Statistical Tests, Data Management, Database Administration, Database Theory, Data Visualization, Data Visualization Software, Data Analysis Software, Probability Distribution, Regression, SQL, Data Warehousing, Database Application, Correlation And Dependence, Estimation, Forecasting, Statistical Analysis, Basic Descriptive Statistics, Data Mining, Machine Learning, Financial Analysis, Big Data, Data Architecture, Tableau Software, Business Intelligence, Financial Management, Microsoft Excel, Finance, Investment Management, Operational Analysis, Strategy, Business Communication, Communication, Customer Analysis, Exploratory Data Analysis, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Research and Design, Data Model, Database Design, Storytelling, Algebra, Bayesian Statistics, Combinatorics, Computational Logic, Computer Programming, Computer Programming Tools, Critical Thinking, Entrepreneurship, Feature Engineering, Leadership and Management, Plot (Graphics), Problem Solving, Statistical Visualization, Strategy and Operations, Theoretical Computer Science, Interactive Data Visualization, Marketing, Risk Management

      4.6

      (15k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      Kompetenzen, die Sie erwerben: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Statistical Tests, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Application, Extract, Transform, Load, Computational Logic, Database Administration, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.5

      (53.8k Bewertungen)

      Beginner · Specialization · 3-6 Months

    Suchanfragen mit Bezug zu sql

    sql for data science
    sql certification
    sql: a practical introduction for querying databases
    sql for data analysis
    sql server
    sql joins
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    1234…78

    Zusammenfassend sind hier 10 unserer beliebtesten sql Kurse

      Fähigkeiten, die Sie bei Data Analysis erlernen können

      Analytik (85)
      Big Data (64)
      Python-Programmierung (47)
      Unternehmensanalytik (40)
      R-Programmierung (37)
      Statistische Analyse (36)
      Datenmodell (29)
      Data-Mining (27)
      Explorative Datenanalyse (26)
      Datenmodellierung (21)
      Datenmanipulation (20)

      Häufig gestellte Fragen zum Thema SQL

      • If you're looking for the best free SQL courses available, try auditing one of these courses SQL for Data Science, Intro to SQL, The Structured Query Language (SQL), SQL: A Practical Introduction for Querying Databasesor SQL for Data Science. In the audit version, you can assess most of the material but will not be able to submit assignments or receive grades or a certificate for your work unless you upgrade."‎

      • If you're looking for a great place to start learning SQL for data science, then you should check out a few of Coursera's top rated beginner courses include SQL for Data Science, The Structured Query Language SQL, SQL: A Practical Introduction for Querying Databases, SQL for Data Science Part 1, and SQL for Data Science Part 2. These courses offer step-by-step guidance in using the fundamentals of SQL for analyzing data, querying databases, and more!‎

      • One of the best advanced SQL courses is the Manipulating Data with SQL course. In this course, you will learn the fundamentals of SQL, practice writing queries, and build a foundation of data manipulation skills. Another great course is the Scripting with Python and SQL for Data Engineering course offered by Duke University. This course covers how to work with SQL in a Python environment and will help you master SQL for data engineering. Additionally, you should consider taking the Performing Data Aggregation Using SQL Aggregate Functions course and the Mastering SQL Joins course to learn even more advanced SQL techniques. Finally, the Working with Subqueries in SQL course is a great way to become proficient with subqueries.‎

      • SQL (Structured Query Language) is a domain-specific programming language designed for managing data held in a relational database management system (RDBMS). It enables you to access and manipulate databases. SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987.

        SQL is one of the trending job skills in Coursera's 2020 Global Skills Index (GSI). Download the 2020 edition of the GSI report.‎

      • We recommend these courses for people with no prior experience that want to learn to use SQL in the context of data structures for data science-related implementation. You may be interested in familiarizing yourself with SQL more deeply to use it to access big data databases within your organization, or to use it for data science or data engineering needs. Whatever your end goal, this collection will cover the fundamentals of SQL and introduce you to its more advanced uses.

        There are several certifications that show your competency in SQL. The first step towards certification is building up your expertise. SQL knowledge is easily accessible online through some of these courses.‎

      • According to Burning Glass, there were ~1M job postings in the last 12 months requiring SQL as a skill, offering an annual median salary of $95K. Common job titles include Software Developer, Database Administrator, Business Intelligence Analyst, and Web Developer. There are also functional role titles like Management Analyst, Financial Analyst and Marketing Manager need SQL for day-to-day work interacting with enterprise data warehouses.‎

      • You do not have to have any previous programming experienced before starting to learn SQL, but you'll likely understand it more quickly if you already have experience with JavaScript, C#, or PHP. It's helpful to have a fundamental understanding of what data is and experience working with it as well. You may also find it beneficial to learn a relational database management system like RDBMS or ER Model before learning SQL, which is a query language for standardized relational databases.‎

      • Some topics related to SQL that you can study—and can subsequently help you advance your career as an SQL developer—include data architecture, MySQL, Informatica, and online analytical processing (OLAP). Database optimization, database architecture, cubes, and database tuning are also related to SQL. You can also consider studying Apache Hadoop, database schemas, dimensional and relational modeling, and SQL server analysis services (SSAS).‎

      • If you want to start or advance your career as a database developer, analyst, or administrator, learning SQL is likely right for you. Learning SQL will help you become proficient in developing and maintaining information solutions and complex databases. If you're a logical thinker and interested in data, learning SQL may be a good fit for you as well. If you currently use a spreadsheet program like Excel or Google Sheets to manage large sets of data, learning SQL may be right for you, since it allows you to access data faster and more easily as well as handle bigger data sets.‎

      • Places that hire people with a background in SQL include data platforms on the internet like SurveyMonkey and Expedia Group, according to GlassDoor, and computer hardware and software companies, such as Microsoft, VMware, and Xero. IT service firms, such as Dell Technologies and Kforce, also hire people skilled in SQL, as do telecommunications companies like Verizon. You'll also find people with a background in SQL hired by investment and banking organizations, such as Fannie Mae, Bank of America, J.P. Morgan, and LPL Financial.‎

      Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
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