SQL

This Learning Path delves into data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

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.

Embark on a journey where traditional data science meets advanced AI in our "Data Science w/Python & ChatGPT " 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.

This Learning Path navigates learners through real-world scenarios to cultivate problem-solving skills using the M language in Power Query.

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.

This learning path provides a thorough understanding of SQL, emphasizing key commands for data manipulation and querying. 

This path is designed to help you build expert level skills in the implementation, monitoring and governance of Power BI, including making optimal use of the Service through dataflows, datasets, thin reports, etc.

In the modern era of data, the AI-driven approach is rapidly redefining how data science operates. Our learning path, "AI-Driven Data Science: Exploring PandasAI and ChatGPT", is crafted to immerse learners into the realms of PandasAI and ChatGPT. The path focuses on harnessing the potential of these AI tools, enabling learners to analyze, visualize, and interpret data with enhanced proficiency. From the foundational principles of data analysis with PandasAI to the expansive capabilities of ChatGPT in data science, this path offers a comprehensive journey into the world of AI-powered data analytics.

Master the ultimate tool for executing and analyzing DAX queries against various sources including Power BI and SSAS

Learn how to transfer your knowledge of SQL to DAX and vice versa

Deepen your understanding of the Power Query/M concepts through practical application

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.

Discover the key to unlocking insights and making informed decisions through data.

Level up your SQL query fluency even without prior SQL experience.

SQL (Structured Query Language) is a programming language used for managing and manipulating data in relational databases, allowing users to create, retrieve, update, and delete data from tables and perform complex operations such as joining multiple tables, filtering data, and aggregating information.

Discover various Data Time Manipulation techniques in SQL

Learn what it takes to develop high quality Power BI & Power Platform reports

WORKOUTS is an innovative approach that combines hands-on exercises, practical applications, and collaborative learning to help data practitioners master data skills effectively.

Learning how to use SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY

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.