Python

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 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 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 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 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 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 Learning Path equips participants with comprehensive knowledge of Power BI's key features, emphasizing its four pillars: data transformation, modeling, DAX calculations, and visualization. Participants will learn to build analytical solutions, surpassing traditional Excel reporting.

Discover the power of Time Series Analysis! Learn to forecast and identify trends, gaining valuable insights into the patterns of temporal data.

Master predictive analytics in Power BI: Learn preprocessing to advanced AutoML. Unlock powerful machine learning models and transform your data.

Kickstart your journey to Microsoft's DP-500 Exam Certification with our comprehensive two-part preparation course. Get the edge you need to succeed!

Advance with the second part of our DP-500 Exam prep course, tailored for mastering Microsoft's certification. Seal your expertise and get certified!

Unlock the power of Python for data cleaning and Natural Language Processing. Master essential functions, algorithms, and programming methods to level up your skills!

Transform your proficiency with our exclusive neural network course! Uncover the intricacies of deep learning and position yourself as a pioneer in the realm of AI evolution!

Elevate your financial analytics skills with Python for Finance, exploring cutting-edge techniques for data retrieval, time series analysis, and predictive modeling.

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

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. 

Create efficiency in your business processes through the specific components of Power Automate Flows

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

Learn how can Python augment and automate Excel

Embark on a holistic learning journey that integrates AI, Excel, Power BI, and Python. This event is designed to provide a unified approach to mastering these powerful tools, helping you harness their combined potential.

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

A quick-reference guide to seamlessly integrate Python into your Power BI toolkit

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!