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 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 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.

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 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 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.

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

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

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

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 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.

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

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

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

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

Enterprise DNA Analytics Summit are action packed live events showcasing a variety of beginner to advanced Power BI & Power Platform tips and techniques. 

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

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

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

Learn how can Python augment and automate Excel

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

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!

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!