Python

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 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.

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 learning path offers a deep dive into data management and analysis, emphasizing the hands-on use of Python and Scala languages for manipulating CSV and JSON files, and the application of SQL for data querying. 

This path is designed to help you harness the full power of Power BI in combination with R and Python. You will learn how to conduct advanced analyses and gain insight into complex business questions.

This Learning Path delves into data analysis and visualization using both R and Python, covering data cleaning, data frames, and the use of packages like dplyr, tidyverse, skim R, and seaborn. It offers hands-on examples, such as creating various plots, performing group-based operations, and utilizing descriptive statistics for effective data interpretation.

The first of the two-part preparation course for the Microsoft's DP-500 Exam Certification

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

Discover the Langchain platform and learn how to build and deploy language models using its powerful tools and APIs. Explore custom training, fine-tuning, and deployment options.

Clean data and perform Natural Language Processing through Python's functions, algorithms and programming methods

Dramatically enhance Power BI's capabilities by incorporating Python's flexible and powerful data wrangling, data analysis and data visualization functionality

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.

Dive into data with Python! Transform raw data into actionable insights, mastering data preparation, wrangling, and modeling. Start your data science journey today.

Learn how to use Python to accomplish different outputs inside Power BI.

Master complex data model techniques especially when running forecasting analysis

Learn the principles and best practices in setting up Python in a clean environment to minimize potential conflicts with Power BI

Learn how can Python augment and automate Excel

Learn simple yet effective techniques which can be used by anyone in your organization to discover valuable insights from their data sets

Learn how to build scalable Power Platform solutions to implement robust business processes from the world's global experts.

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

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

A NumPy cheat sheet can be an excellent resource to help guide your journey into this Python library. A comprehensive cheat sheet will help you navigate NumPy’s features and quickly become proficient in using it for various tasks!

When programming in Python, having a reliable cheat sheet by your side can be a game-changer. Python may be known for its simplicity and readability, but there’s no denying that its extensive range of features and functionalities is too much to memorize!