R

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 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 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 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.

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 build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

This Learning Path in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions. 

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

Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language

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!

Navigate data uncertainty with our practical guide. Learn to recognize, understand, and manage it effectively to make smarter decisions.

Enhance your Power BI reports and analysis with R's visualization, text analysis and statistical modeling capabilities.

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

Step into data mastery: Discover the essentials of data literacy! Learn to make confident decisions and navigate the world of data with ease.

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

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

Creating basic tables and figures with R to check assumptions and communicate findings

Create basic pipelines for data cleaning, visualization and modeling in R

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

Explore possibilities for supercharging Power BI with R’s modeling and visualization capabilities.