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Associate Data Analyst in SQL
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Associate Data Analyst in SQL
Become a SQL-Proficient Data Analyst
Kickstart your data analytics career by mastering SQL, the essential language for querying and manipulating databases. In this hands-on Track, you'll learn how to extract, analyze, and communicate data-driven insights using real-world datasets. No prior coding experience is required—we'll guide you from SQL basics to advanced techniques, empowering you to confidently tackle data analysis challenges.Gain Practical SQL Skills for Data Analysis
Through interactive exercises and projects, you'll develop a comprehensive SQL toolkit:- Write queries to select, filter, and aggregate data
- Join tables to combine data from multiple sources
- Use subqueries and window functions for complex analysis
- Clean and manipulate data using PostgreSQL functions
- Apply statistical concepts to derive meaningful insights
- Explore and summarize data for effective decision-making
Learn by Doing with Real-World Datasets
Apply your SQL skills to realistic business scenarios and datasets. Analyze student mental health trends, investigate motorcycle part sales across warehouses, and more. By working with diverse, real-world data, you'll gain the practical experience to tackle data analysis projects with confidence.Prepare for the Associate Data Analyst in SQL Certification
This Track is designed to fully prepare you for the Associate Data Analyst in SQL Certification. As you progress through the courses, you'll master the SQL concepts and techniques covered in the certification exam. Completing this Track, along with the certification, demonstrates to employers that you have the SQL skills to thrive as a data analyst.Why SQL for Data Analysis?
SQL is the universal language for querying and manipulating relational databases. As organizations increasingly rely on data to drive decisions, SQL proficiency has become an essential skill for data analysts. Whether you're exploring sales figures, user behavior, or sensor readings, SQL enables you to efficiently retrieve and analyze data to uncover actionable insights.Launch Your Data Analytics Career
Upon completing this Track, you'll be equipped to:- Query databases to answer business questions
- Collaborate with data teams to support data-driven decisions
- Communicate data insights to both technical and non-technical stakeholders
- Apply for entry-level data analyst positions across industries
- Continue your learning journey in data analytics and data science
Prerequisites
There are no prerequisites for this trackCourse
Learn how to create and query relational databases using SQL in just two hours.
Course
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
Project
Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.
Course
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
Course
Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.
Course
Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!
Course
Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
Course
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!
Course
Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.
Course
Learn how to analyze a SQL table and report insights to management.
Course
An introduction to data visualization with no coding involved.
Course
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Project
Derive insights about motorcycle part sales over time across multiple warehouse sites!
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