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Analytics Vidhya

In this comprehensive course, you will embark on a transformative journey to master the art of analyzing data through SQL.

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In this comprehensive course, you will embark on a transformative journey to master the art of analyzing data through SQL.

SQL is a powerful tool used for managing and manipulating data in relational databases. Throughout this course, you will acquire the essential skills to efficiently extract relevant data from databases, empowering you to navigate through vast amounts of information with ease.

With a focus on practical application, you will delve into the world of data analysis, discovering how to derive meaningful insights from large datasets housed within complex relational databases. By the end of this course, you will

Gain skills to create and modify databases, equipping you with the ability to solve real-world business problems.

Learn to filter and clean datasets, ensuring the accuracy and reliability of your analysis.

Whether you aspire to be a data analyst, a business intelligence professional, or a decision-maker relying on data-driven insights, this course will provide you with the necessary tools and knowledge to succeed.

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What's inside

Syllabus

Introduction to Data Analysis using SQL
This module aims to introduce the key aspects and applications of SQL. The first module will cover the limitations of excel (via the story of a data scientist) as well as define the different types of databases. Post installation the learners will go through a pseudo code exercise wherein the learner will also learn elementary SQL queries to retrieve data, using keywords such as SELECT, FROM, COUNT, DISTINCT etc.
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Data Analysis with SQL on a Single Table
This module is designed to empower users with comprehensive skills in analysing data within a single table using SQL queries. By delving into various SQL querying techniques, students will gain proficiency in efficiently retrieving, manipulating, and aggregating data. The students will get acquainted with keywords such as WHERE, LIMIT, AVG, MAX, MIN etc. The module goes beyond theoretical concepts by providing practical exercises and a case study, allowing users to apply what they've learnt in a real-world scenario.
Advanced functions on Single Tables in SQL
This module will enhance a learner's proficiency in utilising advanced SQL functions for comprehensive data analysis. Throughout this module, students will delve into a diverse range of robust SQL functions, including string functions such as SUBSTRING, CONCAT, date/time functions like DATEADD and DATEDIFF, case operators, and branching logic. The module will also incorporate practical exercises and an engaging case study, enabling students to further strengthen their problem-solving skills and gain hands-on experience in applying these functions in real-life scenarios.
Analyzing Multiple Tables in SQL
In this module the learner will gain valuable skills to navigate complex data structures, harness the power of JOIN operations, grasp the intricacies of subqueries, and comprehend the significance of different types of keys. Additionally, they will be introduced to the fundamental concept of normalisation, which plays a vital role in database design. By the conclusion of this module, students will possess the expertise to make informed decisions by extracting insights from joined datasets.
CRUD Operations in SQL
In this module, learners will dive deeper into various table operations, expanding their knowledge beyond just querying. They will learn essential skills, including creating tables, modifying table structures, adding and deleting columns, and implementing table constraints. These essential concepts and techniques will empower learners to handle data manipulation tasks, maintain robust databases, and optimise data organisation.

Good to know

Know what's good
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Develops advanced proficiency in SQL for comprehensive data analysis, equipping students with the ability to extract meaningful insights from relational databases
Builds a strong foundation in SQL querying techniques, allowing learners to efficiently retrieve, manipulate, and aggregate data from single tables
Covers a comprehensive range of SQL functions, including string and date/time functions, case operators, and branching logic, empowering learners with advanced data manipulation capabilities
Provides hands-on exercises and a case study to reinforce learning, enabling students to apply their SQL skills in practical scenarios
Suitable for those aspiring to become data analysts, business intelligence professionals, or decision-makers seeking data-driven insights
Requires no prior knowledge of SQL, making it accessible to beginners

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Analysis Using SQL with these activities:
Review basic SQL concepts
Review the fundamentals of SQL to strengthen your foundation for learning advanced techniques.
Show steps
  • Read through SQL tutorials or documentation to refresh your understanding of basic concepts like data types, operators, and table structures.
  • Go through online SQL exercises or quizzes to test your knowledge and identify areas where you need more practice.
Follow SQL tutorials and courses
Expand your SQL knowledge by exploring online tutorials and courses that provide structured guidance and hands-on practice.
Browse courses on Data Analysis
Show steps
  • Identify reputable online platforms or instructors that offer SQL tutorials or courses aligned with your learning goals.
  • Follow the tutorials or courses step-by-step, taking notes and completing the exercises provided.
  • Seek clarification or ask questions in online forums or discussion groups related to the tutorials or courses.
Develop a SQL cheat sheet
Create a personalized reference guide that summarizes key SQL concepts and syntax for quick and easy access during your learning journey.
Browse courses on SQL Queries
Show steps
  • Identify the most important SQL concepts and syntax that you want to include in your cheat sheet.
  • Organize the information in a clear and concise manner, using tables, bullet points, or flowcharts as needed.
  • Include examples and explanations to help you understand and remember the concepts.
Six other activities
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Data Manipulation and Retrieval Practice
Reinforce your understanding of data manipulation and retrieval operations by completing a series of exercises.
Show steps
  • Install SQLite
  • Create a database and tables
  • Populate the tables with sample data
  • Perform data manipulation and retrieval operations using SQL queries
  • Check your results and identify any errors
Intermediate SQL Tutorials
Expand your SQL knowledge and master advanced techniques by following interactive tutorials covering topics such as joins, subqueries, and aggregate functions.
Show steps
  • Find reputable tutorials on intermediate SQL concepts
  • Work through the tutorials, completing the exercises and examples
  • Refer to course materials and documentation for additional support
  • Practice applying what you learn in your own SQL queries
Solve SQL practice problems
Enhance your SQL skills by practicing with a variety of problems that cover different aspects of data analysis.
Browse courses on SQL Queries
Show steps
  • Find online SQL practice platforms or resources that provide a collection of problems with varying difficulty levels.
  • Choose problems that challenge your understanding and push you to apply your knowledge in new ways.
  • Work through the problems step-by-step, testing your queries and debugging any errors.
Join a SQL study group or online community
Connect with other learners and share knowledge by joining a study group or engaging in online discussions related to SQL.
Show steps
  • Search for online forums, discussion groups, or study groups dedicated to SQL learning and data analysis.
  • Actively participate in discussions, ask questions, and share your understanding of SQL concepts.
  • Collaborate with other members on practice problems or projects to enhance your learning.
SQL Data Analysis Project
Apply your SQL skills to a real-world data analysis project, strengthening your understanding of data cleaning, transformation, and analysis.
Show steps
  • Identify a dataset for your project
  • Import the dataset into a database
  • Clean and transform the data
  • Perform data analysis using SQL queries
  • Present your findings in a report or presentation
Develop a data analysis project using SQL
Apply your SQL skills to a real-world data analysis project, showcasing your ability to extract insights and solve problems.
Browse courses on Data Visualization
Show steps
  • Identify a dataset or problem that can be addressed using SQL.
  • Design and write SQL queries to extract, clean, and analyze the data.
  • Create visualizations or reports to present your findings and insights.

Career center

Learners who complete Data Analysis Using SQL will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst is an individual who is responsible for analyzing data to extract meaningful insights. This course in Data Analysis Using SQL provides a strong foundation for individuals seeking a career as a Data Analyst. The course covers topics such as data analysis, data manipulation, and SQL querying, which are essential skills for this role. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Data Analyst.
Business Intelligence Analyst
A Business Intelligence Analyst is a professional who uses data to help organizations make better decisions. This course in Data Analysis Using SQL provides a comprehensive overview of data analysis techniques and SQL, which are essential skills for a Business Intelligence Analyst. The course covers topics such as data extraction, data cleaning, and data visualization, which are all important aspects of this role. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Business Intelligence Analyst.
Data Scientist
A Data Scientist is a professional who uses data to solve complex problems. This course in Data Analysis Using SQL provides a solid foundation for individuals seeking a career as a Data Scientist. The course covers topics such as data analysis, data mining, and machine learning, which are all essential skills for this role. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Data Scientist.
Database Administrator
A Database Administrator is a professional who is responsible for managing and maintaining databases. This course in Data Analysis Using SQL provides a comprehensive overview of database management and SQL, which are essential skills for a Database Administrator. The course covers topics such as database design, database optimization, and data security, which are all important aspects of this role. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Database Administrator.
Software Engineer
A Software Engineer is a professional who designs, develops, and maintains software applications. This course in Data Analysis Using SQL may be useful for individuals seeking a career as a Software Engineer, as it provides a foundation in data analysis and SQL, which are skills that are increasingly in demand in the software industry. The course covers topics such as data modeling, data manipulation, and data visualization, which are all important aspects of software development. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Software Engineer.
Data Engineer
A Data Engineer is a professional who designs, builds, and maintains data pipelines. This course in Data Analysis Using SQL provides a strong foundation for individuals seeking a career as a Data Engineer. The course covers topics such as data integration, data transformation, and data quality, which are all essential skills for this role. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Data Engineer.
Business Analyst
A Business Analyst is a professional who analyzes business processes and systems to identify areas for improvement. This course in Data Analysis Using SQL may be useful for individuals seeking a career as a Business Analyst, as it provides a foundation in data analysis and SQL, which are skills that are increasingly in demand in the business world. The course covers topics such as data modeling, data mining, and data visualization, which are all important aspects of business analysis. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Business Analyst.
Financial Analyst
A Financial Analyst is a professional who analyzes financial data to make investment recommendations. This course in Data Analysis Using SQL provides a strong foundation for individuals seeking a career as a Financial Analyst. The course covers topics such as financial modeling, financial data analysis, and financial forecasting, which are all essential skills for this role. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Financial Analyst.
Market Researcher
A Market Researcher is a professional who conducts research to identify and understand market trends. This course in Data Analysis Using SQL may be useful for individuals seeking a career as a Market Researcher, as it provides a foundation in data analysis and SQL, which are skills that are increasingly in demand in the market research industry. The course covers topics such as data collection, data analysis, and data visualization, which are all important aspects of market research. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Market Researcher.
Operations Research Analyst
An Operations Research Analyst is a professional who uses mathematical and analytical techniques to solve complex business problems. This course in Data Analysis Using SQL provides a solid foundation for individuals seeking a career as an Operations Research Analyst. The course covers topics such as optimization, simulation, and forecasting, which are all essential skills for this role. By taking this course, individuals can gain the knowledge and skills necessary to succeed as an Operations Research Analyst.
Quantitative Analyst
A Quantitative Analyst is a professional who uses mathematical and statistical techniques to analyze financial data. This course in Data Analysis Using SQL may be useful for individuals seeking a career as a Quantitative Analyst, as it provides a foundation in data analysis and SQL, which are skills that are increasingly in demand in the financial industry. The course covers topics such as financial modeling, financial data analysis, and financial forecasting, which are all important aspects of quantitative analysis. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Quantitative Analyst.
Risk Analyst
A Risk Analyst is a professional who assesses and manages risk. This course in Data Analysis Using SQL provides a solid foundation for individuals seeking a career as a Risk Analyst. The course covers topics such as risk assessment, risk management, and risk modeling, which are all essential skills for this role. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Risk Analyst.
Statistician
A Statistician is a professional who collects, analyzes, and interprets data. This course in Data Analysis Using SQL provides a strong foundation for individuals seeking a career as a Statistician. The course covers topics such as statistical analysis, data mining, and machine learning, which are all essential skills for this role. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Statistician.
Data Management Analyst
A Data Management Analyst is a professional who designs, builds, and maintains data management systems. This course in Data Analysis Using SQL may be useful for individuals seeking a career as a Data Management Analyst, as it provides a foundation in data analysis and SQL, which are skills that are increasingly in demand in the data management industry. The course covers topics such as data modeling, data integration, and data governance, which are all important aspects of data management. By taking this course, individuals can gain the knowledge and skills necessary to succeed as a Data Management Analyst.
Information Security Analyst
An Information Security Analyst is a professional who protects computer systems and networks from unauthorized access. This course in Data Analysis Using SQL may be useful for individuals seeking a career as an Information Security Analyst, as it provides a foundation in data analysis and SQL, which are skills that are increasingly in demand in the information security industry. The course covers topics such as data security, data privacy, and data forensics, which are all important aspects of information security. By taking this course, individuals can gain the knowledge and skills necessary to succeed as an Information Security Analyst.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Analysis Using SQL.
Covers data analysis using Python, including data manipulation, cleaning, and visualization techniques.
Introduces R programming for data science, providing a foundation for data manipulation, analysis, and visualization.
A practical reference guide with numerous recipes for common SQL tasks, providing quick solutions and best practices.

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