Enterprise DNA Skills
Data Transformation
Convert raw data into a more usable format, such as aggregating or restructuring data, standardizing data, or merging data from multiple sources.
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Paid Course
Power BI Workshop
*NEW* Explore comprehensive Power BI desktop development techniques. From managing data sources, advanced visualization and sharing reports.
Learning
Paths
Path

Querying & SQL Fundamentals
Gain a thorough understanding of SQL fundamentals for seamless data manipulation and querying, setting the foundation for advanced database management.
Intermediate
6 Hours
Path

Power BI & Python for Advanced Analytics
Dive deep into machine learning with Python, mastering predictive analytics and advanced data manipulations to excel in complex analytical tasks.
Advanced
7 Hours
Path

Data Analytics Generalist
Gain a versatile skill set covering a wide range of data analysis techniques and tools, preparing you for diverse roles in the dynamic field of data analytics!
Beginner
17 Hours
Path

Build No-Code Applications with Power Apps
An in-depth path for mastering Power Apps for efficient task automation and engaging user interfaces.
Intermediate
16 Hours
Path

Python for Data Analysis
Take your data analysis to the next level with Python. Seamlessly integrate Python and AI for efficient workflows and game-changing insights.
Beginner
12 Hours
Path

M Code for Power Query
Master the art of creating visually appealing and insightful dashboards and reports using Power BI, leveraging its wide range of visualization options and features.
Intermediate
11 Hours
Path

No-Code Automation with Power Automate
Explore into built-in connectors, mastering basic flows to advanced error handling for seamless workflow efficiency.
Advanced
9 Hours
Path

Power BI Data Analyst
Master the skills needed to ace the PL-300 certification exam, blending foundational Power BI knowledge with advanced DAX techniques.
Beginner
19 Hours
Learning
Center
Course

Power BI Workshop
*NEW* Explore comprehensive Power BI desktop development techniques. From managing data sources, advanced visualization and sharing reports.
Intermediate
5 Hours
Course

Excel to Python for Data Analysis
Transform your data approach with Python expertise! Transition from Excel and open the door to limitless possibilities for your projects, seamlessly moving from cells to scripts.
Beginner
1 Hours
Course

Introduction to Deep Learning with Artificial Neural Networks
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!
Intermediate
1 Hours
Course

Accessing Data via APIs in Power BI
Unlock the full potential of Power BI by mastering API integration to access a broader range of data. Enhance your analytics with our focused training!
Intermediate
2 Hours
Course

Applied Problem Solving with Power Query/M
Deepen your Power Query/M understanding through hands-on practice. Master practical applications and excel in data transformation!
Advanced
6 Hours
Course

Machine Learning Models in Power BI
Master predictive analytics in Power BI: Learn preprocessing to advanced AutoML. Unlock powerful machine learning models and transform your data.
Intermediate
1 Hours
Course

Power BI Super Users Workshop
An in depth overview of the entire Power BI suite, with a focus on using Power BI to extract compelling insights from your own data.
Beginner
9 Hours
Course

Foundations of Microsoft Fabric
Discover the power of Microsoft Fabric and shape your future in data. Learn essential data engineering and analytics, and craft cutting-edge solutions with OneLake and Delta Lake.
Intermediate
1 Hours
Virtual
Events
Podcast

The Potential of Vibe Coding, MCP, and Tool Use With AI
Vibe coding, Model Context Protocol (MCP), and AI-powered tool use represent a transformative shift in how developers interact with technology. These innovations bridge the gap between learning and implementation, enhance productivity, and redefine how we work with AI—making development more intuitive, accessible, and dynamic.
Podcast

Is Copilot Finally on Track & New AI Innovations Coming Out Soon
Is Copilot finally finding its stride? With new AI innovations on the horizon, the way we work might be about to change—again. Are we prepared for what’s coming, or just getting comfortable with the current wave? The future isn’t slowing down.
Podcast

Real World MCP Applications & AI Learning
Model Context Protocol (MCP) is transforming how AI tools operate in real-world settings. By improving the way context is carried and recalled, MCP unlocks smarter automation and learning. As AI systems evolve, MCP will play a key role in how we bridge learning, memory, and adaptive functionality across tools and workflows.
Podcast

How AI Is Revolutionizing Data Analysis and App Development
Discover how AI Agents are accelerating software creation, reducing the need for traditional coding skills, and enabling seamless integration of data from multiple sources.
Virtual Event

DAX Is Easy, CALCULATE Makes It Hard
Understand the overview of the new DAX functions – OFFSET, INDEX, WINDOW, EVALUATEANDLOG, TOJSON and TOCSV
00:47:18 Hours
Virtual Event

DAX Counterculture: Alternative Prospectives On DAX
Know the techniques in creating indexes and how to loop efficiently using DAX
00:42:41 Hours
Virtual Event

Live Q&A with Sam on Wednesday
A real-time Q&A segment, and live demonstrations based on participant queries.
Beginner
01:21:25 Hours
Virtual Event

Extract Data From PDF’s
Use PDF conversion tools to disassemble and assemble tables within PDF documents
00:31:29 Hours
Project
Center
Challenge

Optical Data
Provide a business solution by creating an intelligence tool to use by large opticians
Challenge

Timesheet Utilisation Reporting
Take a deep dive into the world of utilisation and timesheet data
Challenge

Hotels Revenue Management
Take on the challenge of creating an analysis report on hotels revenue management data.
Challenge

Transport and Shipping Data
Challenge your data skills by creating a report on transport and shipping data
Challenge

Jira IT Service Desk Analysis
Produce insights for management level that can highlight any issues and prepare them for the audit
Challenge

Sales and Production Analysis
Implement your analytical skills in creating a report of the entire business operation from production to forecasting.
Challenge

Social Media Content Performance
Analyze 2024 social media data to uncover what makes content perform across platforms. Show your insights, sharpen your skills, and compete for exciting prizes.
Challenge

Customer Satisfaction and Loyalty Analytics
Analyze OmniRetail’s 2024 customer satisfaction data to uncover what drives loyalty across regions, demographics, and support experiences.
Guides
Resource

Data Analysis with PandasAI
Learn to leverage PandasAI for intuitive data manipulation and AI-driven transformations!
Resource

Big Data with Pandas, Polars & PySpark
Learn to handle vast datasets, perform complex data transformations, and optimize your big data analytics workflow efficiently!
Resource

Beginners Guide To Getting Started With Python For Data Analysis
This guide introduces beginners to Python for data analysis, covering essential steps from installation to performing exploratory data analysis and writing custom functions.
Resource

Power Query And M Basics
Learn to effectively transform and prepare data in Power BI, mastering both basic and advanced techniques for a comprehensive understanding of data operations!
Resource

Data Model and Transformation
Learn to master data transformations, efficient modeling techniques, and DAX calculations for deeper insights!
Resource

Deep Learning with Artificial Neural Networks
Learn to structure neural models, optimize data processes, and apply sophisticated algorithms for enhanced predictive analytics and problem-solving!
Resource

Data Manipulation Mastery
Learn to refine, analyze, and visualize data efficiently, transforming your approach to data science and analytics!
Resource

Data Governance vs Data Management
Data Governance ensures data integrity with policies, while Data Management focuses on data accessibility using tech tools. Both are crucial for data quality!









