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  • Sql And Python Syntax

Results for "sql and python syntax"


  • Status: New
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    G

    Google

    Introduction to Data Analysis Using Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Data Cleansing, Python Programming, Data Analysis, NumPy, Pandas (Python Package), Data Manipulation, Analytical Skills, Scripting, Algorithms, Debugging

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Databases and SQL for Data Science with Python

    Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    23K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    G

    Google

    Google Data Analysis with Python

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Data Preprocessing, Package and Software Management, Data Analysis, Data Transformation, Data Integration, JSON, Object Oriented Programming (OOP), Data Wrangling, Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Mathematical Software, Computational Logic, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
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    95 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Logical Operations

    Using Data Science Tools in Python

    Skills you'll gain: Seaborn, NumPy, Matplotlib, Data Transformation, Data Manipulation, Data Visualization Software, Pandas (Python Package), Plot (Graphics), Data Visualization, Jupyter, Scatter Plots, Data Science, Data Processing, Data Analysis, Box Plots, Python Programming, Graphing, Computer Programming, Computer Programming Tools, Software Development

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, File I/O, Python Programming, Jupyter, Data Structures, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    43K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python, Bash and SQL Essentials for Data Engineering

    Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

    4.5
    Rating, 4.5 out of 5 stars
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    465 reviews

    Beginner · Specialization · 3 - 6 Months

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  • Status: Free Trial
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    I

    IBM

    SQL for Data Science with R

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

    4.4
    Rating, 4.4 out of 5 stars
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    184 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    SQL: A Practical Introduction for Querying Databases

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

    4.7
    Rating, 4.7 out of 5 stars
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    687 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Python Programming And Libraries for Data Science

    Skills you'll gain: Object Oriented Programming (OOP), Matplotlib, Data Visualization, Seaborn, NumPy, Python Programming, Scatter Plots, Pandas (Python Package), Data Analysis, Box Plots, JSON, File Management, Debugging, Data Manipulation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Preview
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    L

    Logical Operations

    SQL Querying: Fundamentals

    Skills you'll gain: Microsoft SQL Servers, SQL, Query Languages, Database Software, Database Design, Data Import/Export, Database Management, Databases, Relational Databases, Data Access, Data Manipulation, Extensible Markup Language (XML), Data Analysis Expressions (DAX), Data Management

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with Python

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Databases with Python

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, Data Visualization Software, Web Scraping, Data Modeling, Object Oriented Programming (OOP), Data Processing, Geographic Information Systems, Python Programming, Application Programming Interface (API)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    22K reviews

    Beginner · Course · 1 - 3 Months

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

  • Introduction to Data Analysis Using Python: Google
  • Databases and SQL for Data Science with Python: IBM
  • Google Data Analysis with Python: Google
  • Using Data Science Tools in Python: Logical Operations
  • Python for Data Science, AI & Development: IBM
  • Python, Bash and SQL Essentials for Data Engineering: Duke University
  • SQL for Data Science with R: IBM
  • SQL: A Practical Introduction for Querying Databases: IBM
  • Python Programming And Libraries for Data Science: Packt
  • SQL Querying: Fundamentals: Logical Operations

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