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 statistical analyses, text and sentiment analysis, leverage machine learning techniques, and other key methods commonly used to gain insight into complex business questions.
About This Path
Completing interesting and impactful analytics in Power BI starts with powerful DAX formulas.
Within this learning path you will dive deep into the theory and practical application of the DAX formula language.
Once you have the basic and intermediate practical knowledge covered you will then look to extend your analytical capabilities in Power BI with formula patterns and analysis techniques that can be used across a variety of scenarios.
You can also extend Power BI in a number of ways utilising advanced analytical languages like Python and R.
Within this learning path you will learn how to combine key elements of a quality data model with the variety of analytical options you have available to you inside of Power BI desktop experience.
Through leveraging this content and accelerating your learning through practice you will master key techniques to developing advanced analytical reporting applications with Power BI.
Who Should Take This Path
Data analysts keen on improving their analytical skills
Professionals who are working towards solving business problems
Professionals who are interested in pursuing a career in business analysis but lacks programming experience
What Are The Path Requirements
Power BI account for Power BI Desktop and Power BI Service
Sam is Enterprise DNA's CEO & Founder. He helps individuals and organizations develop data-driven cultures and create enterprise value by delivering business intelligence training and education on Microsoft’s Power BI platform
He partners with business decision-makers and analysts across all industries and business functions.
Over ten years of analytics experience ranging from retail to healthcare.
Author of the O'Reilly book Advancing into Analytics: From Excel to Python and R
Manages a popular data analytics blog at [Stringfest Analytics](http://stringfestanalytics.com/blog/)
Focuses on statistical programming and general analytics literacy
Innovative Data Analyst and Digital Channel Optimization Specialist with thorough knowledge of Omni channel analytics and incorporating online and offline data in funnel analysis.
Skilled in maximizing online sales, revenue, and call-to-actions through conversion rate optimization, statistical science, and A/B testing. Deep expertise in statistical testing tools, data extraction, and data science.
Expertise in utilizing Power Query to take data in any form and transform it into tabular format.
Capabilities to take seemingly unyielding complex scenarios and break them down into easier digestible smaller parts.
Ability to see how all the Power BI products (Power Query, DAX, Power BI) function together ecosystem.
This path is designed to help you become an expert in data visualization, data storytelling, and report design. You will learn how to make the most of native Power BI visuals, skillfully utilize the best AppSource visuals, and create advanced custom visualizations using bespoke visualization languages including Deneb/Vega-lite, HTML/CSS and ggplot2.