Enterprise DNA Skills
Advanced Analytics
Use complex and sophisticated analytical techniques to uncover deep insights and make highly accurate predictions or recommendations.
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Paid Course
DAX Optimization Masterclass Using DAX Studio
Improve the overall performance of your DAX measures using the DAX Studio
Learning
Paths
Path

Applied Statistics for Data Analysis
This Learning Path in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions.
Intermediate
6 Hours
Path

Power BI Optimization Expert
This path will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.
Intermediate
29 Hours
Path

Data Transformation Expert
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.
Intermediate
13 Hours
Path

Power BI for Data Science: From Data to Insights
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.
Intermediate
16 Hours
Path

Power BI Data Analyst
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).
Beginner
41 Hours
Path

Advanced DAX for Power BI
This Learning Path provides a deep dive into Power BI and DAX, focusing on data analysis techniques and visualization. It equips learners with skills to craft dynamic visualizations.
Intermediate
5 Hours
Path

DAX Fundamentals in Power BI
This Learning Path delves into data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.
Beginner
7 Hours
Path

Intermediate DAX Concepts for Power BI
This Learning Path delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.
Intermediate
12 Hours
Learning
Center
Course

DAX Optimization Masterclass Using DAX Studio
Improve the overall performance of your DAX measures using the DAX Studio
Intermediate
6 Hours
Course

Introduction to Statistics for Data Analysts II
Learn valid inference techniques for two-sample and two-variable data questions.
Intermediate
2 Hours
Course

Data Analysis with PandasAI
Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.
Intermediate
1 Hours
Course

SQL For Power BI Users
Level up your SQL query fluency even without prior SQL experience.
Beginner
3 Hours
Course

Accessing Data via APIs in Power BI
Expand Power BI's capabilities in accessing a wide range of data using APIs
Intermediate
2 Hours
Course

Advanced Analytics In Power BI
Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way
Advanced
1 Hours
Course

DAX Formula Patterns
Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday
Intermediate
3 Hours
Course

Introduction to Statistics for Data Analysts
A practical guide to recognizing, understanding, and managing uncertainty in data
Intermediate
2 Hours
Virtual
Events
Virtual Event

Scenario Analytics Insights
Discovering unique and valuable insights and solve advanced analytical questions using Power BI
00:57:31 Hours
Virtual Event

LAMBDA - Taking Control of Your Functions
In this presentation, you will learn the new LAMBDA function in Excel. How to use this to simplify functions that do not currently exist.
00:52:16 Hours
Virtual Event

Advanced Conditional Formatting with DAX
Using visual layering and transparency masks to improve data storytelling Advanced tricks for conditional formatting icons
00:47:43 Hours
Virtual Event

Reporting & Data Visualization Summit
Join This FREE Live Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more...
30:48:44 Hours
Virtual Event

Azure ML In Power BI
An overview on Azure ML and how to incorporate it with Power BI
00:55:53 Hours
Virtual Event

Manage Banking Transactions Directly Through Your Excel-VBA model
In this session, you will learn how to manage Banking Transactions Directly Through Your Excel-VBA model
00:35:17 Hours
Virtual Event

Power BI & Power Automate Better Together
Identify trends in sales and customer behavior and assess the performance of different stores or regions using the LFL Analysis in Retail
00:59:25 Hours
Virtual Event

VBA, PQ for a Simple Excel Utility
In this presentation, we would be developing a solution a simple solution to bulk rename files and folders in a folder.
00:53:34 Hours
Project
Center
Challenge

Covid 19 Reporting
An excellent opportunity for you to create a one-page data report for Covid-19 analysis
Challenge

Health & Substance Abuse Report Analysis
Challenge your data skills in creating an analysis report on substance
Challenge

Challenge

Twitter Threads Analysis
Jump into this twitter related dataset and showcase some interesting insights based on the text of the tweet and the stock reference or tagged within the tweet itself.
Challenge

Challenge

Formula 1 Analysis
Deep dive into the world of F1 and create an analysis of the drivers' stats
Challenge

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

Environmental Data Reporting
Create an analysis report on environmental data and potentially impact how this data is visualized and recorded
Guides
Resource

Excel Formulas Cheat Sheet: Advanced Guide
This Excel formulas cheat sheet covers advanced forecasting formulas, statistical analysis, data manipulation functions, error handling, and more.









