Enterprise DNA Tools

SQL

Manage and manipulate relational databases, including creating, modifying, and querying databases.

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Paid Course

SQL For Power BI Users

Master SQL fluency from scratch and unlock endless data querying possibilities. Level up your skills and dominate the world of data analysis!

beginner
beginner
3 Hours
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Learning

Paths
11 assets
Path
SQL for Data Analysis and Business Intelligence

SQL for Data Analysis and Business Intelligence

This Learning Path delves into data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.
Intermediate
8 Hours
Path
Data Transformation Expert

Data Transformation Expert

This path is focused on developing expert level skills in data cleaning, data transformation and data modeling. You will learn to maximize the capabilities of the Power Query UI, and also write M code.
Intermediate
12 Hours
Path
DAX for Power BI Analysis

DAX for Power BI Analysis

This path is the most in-depth and rigorous on the list, designed to provide you expert-level skills in all of the key pillars of Power BI. 
Intermediate
20 Hours
Path
Advanced Power BI Using Python for Machine Learning

Advanced Power BI Using Python for Machine Learning

Elevate your Power BI prowess by delving into the confluence of machine learning and Python, two of the most transformative domains in data science. Our learning path, "Advanced Power BI: Harnessing Python and Machine Learning", unravels a structured approach to predictive analytics and advanced data manipulations. Through an immersive hands-on experience, you will journey from the intricacies of predictive modeling in Power BI to harnessing the versatility of Python, ensuring you're well-equipped to tackle complex analytical challenges.
Advanced
3 Hours
Path
Data Science w/Python & ChatGPT

Data Science w/Python & ChatGPT

Embark on a journey where traditional data science meets advanced AI in our "Data Science w/Python & ChatGPTĀ " learning path. This curriculum offers a blend of foundational Python-driven data science techniques, coupled with the power of ChatGPT to revolutionize data analysis workflows. From mastering data wrangling to leveraging ChatGPT for enhanced coding support, this path promises a transformative learning experience for data analysts.
Beginner
7 Hours
Path
SQL Fundamentals: Getting Started with Database Querying

SQL Fundamentals: Getting Started with Database Querying

This learning path provides a thorough understanding of SQL, emphasizing key commands for data manipulation and querying. 
Intermediate
6 Hours
Path
Data Analytics Generalist

Data Analytics Generalist

This path is similar to the Data Analyst learning path above, but is geared to building a strong and broad foundation of data analysis skills, as compared to being more specifically focused on passing the PL 300 exam.
Beginner
14 Hours
Path
Power BI Optimization Expert

Power BI Optimization Expert

This path will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.
Intermediate
34 Hours

Learning

Center
10 assets
Course
SQL For Power BI Users

SQL For Power BI Users

Master SQL fluency from scratch and unlock endless data querying possibilities. Level up your skills and dominate the world of data analysis!
Beginner
3 Hours
Course
Introduction to ChatGPT's Advanced Data Analysis (ADA)

Introduction to ChatGPT's Advanced Data Analysis (ADA)

Unlock data insights with ADA. Elevate your analysis skills using ChatGPT's advanced algorithms and transform your data interpretation.
Beginner
2 Hours
Course
DAX for SQL Developers

DAX for SQL Developers

Bridge your SQL expertise to DAX and back seamlessly with our specialized course. Maximize your data skills and thrive in any analytics environment!
Intermediate
4 Hours
Course
Foundations of Data Analytics

Foundations of Data Analytics

Dive deep into Data Analytics! Gain a profound understanding of the practicality and significance of data-driven insights in today's decision-making landscape
Beginner
2 Hours
Course
Data Literacy for Beginners

Data Literacy for Beginners

Step into data mastery: Discover the essentials of data literacy! Learn to make confident decisions and navigate the world of data with ease.
Beginner
1 Hours
Course
Introduction to Pyspark: Handling Big Data with Pandas Polars and Pyspark

Introduction to Pyspark: Handling Big Data with Pandas Polars and Pyspark

PySpark made easy! Learn Pandas and Polars to navigate any dataset, uncover valuable insights, and become a data analysis powerhouse.
Beginner
2 Hours
Course
Applied Problem Solving with Power Query/M

Applied Problem Solving with Power Query/M

Deepen your Power Query/M understanding through hands-on practice. Master practical applications and excel in data transformation!
Advanced
6 Hours
Course
ChatGPT for Data Science

ChatGPT for Data Science

Dive deeper into using ChatGPT for data science tasks. Explore techniques for data preprocessing, feature engineering, model training, and deploying ChatGPT models for specific data analysis and prediction tasks.
Beginner
1 Hours

Virtual

Events
4 assets
Virtual Event
Introduction to SQL

Introduction to SQL

Learning how to use SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY
01:06:36 Hours
Virtual Event
Innovations In Power BI & Power Platform Summit

Innovations In Power BI & Power Platform Summit

Learn what it takes to develop high quality Power BI & Power Platform reports
19:37:28 Hours
Virtual Event
Advanced SQL Skills For Data Analysts

Advanced SQL Skills For Data Analysts

Discover various Data Time Manipulation techniques in SQL
00:33:04 Hours
Virtual Event
Using WORKOUTS to Master Data Skills

Using WORKOUTS to Master Data Skills

WORKOUTS is an innovative approach that combines hands-on exercises, practical applications, and collaborative learning to help data practitioners master data skills effectively.
Beginner
00:44:04 Hours
Guides
1 assets
Resource
SQL Cheat Sheet

SQL Cheat Sheet

This SQL cheat sheet gives you the most common SQL objects and commands, including data types, DML and DDL statements, aggregate functions, string and date functions, and subqueries.