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    Learn SQL for Data Analysis Free Course with Certificate

    Learn SQL for Data Analysis Free Course with Certificate

    Learn SQL Data Analysis to make winning data-driven strategies!

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    Prerequisites

    SQL for Data Analysis Course Prerequisites

    Knowledge of basic database concepts is required.

    Course Prerequisites
    • 450,000 +
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    • 250+
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    Enhance Your Data Analysis Skills with SQL

    Enhance Your Data Analysis Skills with SQL

    20+ Hours of Self-Paced Learning Content

    Immersive Learning with Hands-on Exercises

    Learn-By-Doing with Immersive Learning

    Unlock Knowledge with Interactive eBooks

    Accelerate Progress with Auto-Graded Assessments

    Have you always wanted to understand how data analysis works with SQL? If yes, our comprehensive SQL for Data Analysis free course is your best bet. Along your learning journey in this course, you'll unveil the pivotal role of SQL in extracting valuable insights from datasets. You'll gain essential skills to efficiently manipulate and analyze data, enabling you to make informed decisions based on data-driven insights.

    You'll begin to learn SQL for data analysis by getting a foundational understanding of SQL's significance in data analysis. Discover the art of crafting databases, creating tables and executing queries using MySQL, a versatile database management system. Navigate through SQL syntax, mastering key commands for efficient data handling.

    Then we head on to data manipulation, as you'll learn to filter data using WHERE clauses, decode operators, and perform aggregation with summary functions. Through interactive examples and exercises, you'll confidently navigate complex datasets to unearth meaningful insights.

    Understand the true potential of SQL for practical applications in various industries. From market research to business operations, SQL's ability to dissect and synthesize data empowers professionals like you to drive data-centric decision-making. Whether you're new to data analysis or aiming to enhance your skills, our free SQL course for Data Analysis equips you to harness SQL's prowess in deciphering hidden stories within data.

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    Who Can Attend the Course

    Who Should Attend
    • Beginners in Data Analysis
    • Professionals Switching Careers
    • Marketing Professionals
    • IT Professionals
    • Entrepreneurs
    • Students
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    Focus on skilled-based outcomes with advanced insights from our state-of-the art learning platform.

    Immersive Learning

    Go beyond just videos and learn hands-on with guided exercises, projects, assignments and more.

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    World-Class Instructors

    Course instructors and designers from top businesses including Google, Amazon, Twitter, and IBM.

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    Get an intimate, insider look at leading companies in the field through real-world case studies.

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    Learn SQL for Data Analysis Course Curriculum

    Curriculum

    1. What is SQL and Why is it Important?

    Learning Objectives:

    Learn the fundamentals of SQL and its significance in data analysis. Understand the concept of queries and their role in the industry. Get introduced to MySQL and its importance in data manipulation.

    Topics

    • Introduction to Data Analysis Using SQL
    • Introduction to Understanding SQL and Its Importance
    • The What and Why of SQL
    • What is a Query?
    • Use of SQL in the Industry
    • Introduction to MySQL

    2. SQL Database Admin Commands

    Learning Objectives:

    Explore SQL database administration and MySQL Workbench. Gain insights into SQL syntax best practices. Learn to create databases and tables in MySQL. Understand commands like SHOW, DROP, and INSERT INTO for data management.

    Topics

    • Introduction to SQL Database Admin
    • Introduction and Tour of MySQL Workbench
    • SQL Syntax - Best Practices
    • Create a Database in MySQL
    • Create a Table in a Database
      • How to Create a Table in a Database?
    • SHOW and DROP Command in SQL
    • INSERT INTO Command in SQL
      • How to Insert Data into a Table Using the INSER INTO Function?

    3. The Basics of SQL

    Learning Objectives:

    Familiarize yourself with the basics of SQL. Learn to acquire datasets and use table data import wizards. Master the SELECT * FROM statement and its usage. Understand the concept of LIMIT and explore aliases in SQL

    Topics

    • Introduction to the Basics of SQL
    • Getting the Dataset
    • Table Data Import Wizard
    • SELECT * FROM Statement in SQL
    • LIMIT Statement in SQL
    • Aliases in SQL

    4. Filtering Data Using WHERE Clause in SQL

    Learning Objectives:

    Discover how to filter data using the WHERE clause in SQL. Explore ORDER BY, AND, OR, and NOT operators. Gain proficiency in using IN and LIKE operators for precise data retrieval.

    Topics

    • Introduction to Filtering Data Using WHERE Clause in SQL
    • ORDER BY in SQL
    • WHERE Clause in SQL
    • AND, OR, and NOT Operators in SQL
    • IN Operator in SQL
    • LIKE Operator in SQL

    Learn SQL for Data Analysis Free Certification

    Learn SQL for Data Analysis Free Certification

    1. What is Data Analysis using SQL?

    Data Analysis using SQL involves utilizing SQL queries to extract, transform, and analyze stored data from databases. This process enables users to gain insights and generate reports for informed decision-making.

    Data analysts, scientists, and BI experts harness SQL’s prowess to uncover patterns, trends, and anomalies within extensive datasets. Its capacity to handle large data volumes and execute intricate queries positions SQL as a vital skill for effective data analysis and business intelligence activities.

    2. Is SQL enough for data analysis?

    While SQL is a foundational language for managing and querying databases, it is not always sufficient. SQL excels at handling structured data and performing various operations, however, programming languages like Python or R are often used for more complex analytical tasks like advanced statistical analysis, data visualization, and machine learning.

    These programming languages offer a wide range of libraries and packages specifically designed for modelling and visualization. While SQL is a valuable language for data analysis, combining it with other tools can be significantly advantageous to your analytical abilities.