SQL

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.

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.

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.

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.

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.

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.

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

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

Unlock data insights with ADA. Elevate your analysis skills using ChatGPT's advanced algorithms and transform your data interpretation.

PySpark made easy! Learn Pandas and Polars to navigate any dataset, uncover valuable insights, and become a data analysis powerhouse.

Unlock the full potential of DAX queries across Power BI and SSAS with our expert-led course. Master execution and analysis techniques and become a DAX powerhouse!

Dive deep into Data Analytics! Gain a profound understanding of the practicality and significance of data-driven insights in today's decision-making landscape

Bridge your SQL expertise to DAX and back seamlessly with our specialized course. Maximize your data skills and thrive in any analytics environment!

Deepen your Power Query/M understanding through hands-on practice. Master practical applications and excel in data transformation!

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.

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

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

Discover various Data Time Manipulation techniques in SQL

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

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

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.