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career track
Certification available

Associate Data Analyst in SQL

4.4+
25 reviews

Database design is critical for a high-performance application. Just like you wouldn't build a house without a blueprint, you need to plan how you’ll store your data beforehand. In this interactive SQL track, you'll learn the fundamentals of database design and how to: ✓ Write basic SQL queries ✓ Group and aggregate data to produce summary statistics ✓ Join tables and apply filters and sub-queries ✓ Write functions to explore and manipulate data Working with real-world datasets, gain the SQL skills you need to query a database, analyze results, and effectively communicate your insights to stakeholders. There’s no prior SQL knowledge required—start your journey to confidently pass the Associate Data Analyst in SQL certification and thrive as a data analyst.

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1
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Introduction to SQL

Learn how to create and query relational databases using SQL in just two hours.

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Izzy Weber

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Intermediate SQL

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Analyzing Students' Mental Health

Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.

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Joining Data in SQL

Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

4 hours

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Data Manipulation in SQL

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6
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PostgreSQL Summary Stats and Window Functions

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7
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Functions for Manipulating Data in PostgreSQL

Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.

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8
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Introduction to Statistics

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9
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Exploratory Data Analysis in SQL

Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.

4 hours

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Christina Maimone

Data Scientist, Northwestern University

10
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Data-Driven Decision Making in SQL

Learn how to analyze a SQL table and report insights to management.

4 hours

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11
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Understanding Data Visualization

An introduction to data visualization with no coding involved.

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Data Communication Concepts

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Hadrien Lacroix Headshot

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Curriculum Manager at DataCamp

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Analyzing Motorcycle Part Sales

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George Boorman

Curriculum Manager, DataCamp

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Instructors

  • Izzy Weber Headshot
    Izzy WeberData Coach at iO-SphereSee Izzy Weber's Portfolio
  • Jasmin Ludolf Headshot
    Jasmin LudolfData Science Content Developer, DataCampSee Jasmin Ludolf's Portfolio
  • Maham Khan Headshot
    Maham KhanSenior Data Scientist, YouView TVSee Maham Khan's Portfolio
  • Mona Khalil Headshot
    Mona KhalilData Scientist, Greenhouse SoftwareSee Mona Khalil's Portfolio

Don’t just take our word for it

*4.4
from 25 reviews
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  • Sultan K.
    about 2 months

    The course track itself is good, but the bad thing is that it does not correlate with the pace of solving problems during the certification exam. For example, yesterday I decided to immediately get certified, I was not ready for the deadline for each question: i.e. For 1 question out of 60, an average of 1 minute was given to solve. It took me half (30 seconds) to read the task; the remaining time to write code for the answer was simply not enough. Further, since the last courses were theoretical, practical knowledge of writing code was simply forgotten. It would be nice to diversify the practical problems in the Practice section and add a stopwatch (time limit for solving the problem). Conclusion: you will have to quickly go through the entire track again to refresh your knowledge.

  • Sy D.
    6 months

    That is the best career track with a hard final exam

  • Omar U.
    6 months

    That's a good tool to know of fundamentals of data analysis in SQL

  • David P.
    9 months

    I really liked the track. However I think some guide to use PostgreSQL offline would be great.

  • Tibor H.
    9 months

    .

"That is the best career track with a hard final exam"

Sy D.

"That's a good tool to know of fundamentals of data analysis in SQL"

Omar U.

"I really liked the track. However I think some guide to use PostgreSQL offline would be great."

David P.

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