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Advanced Python for Power BI in Data Cleaning and NLP
Unlock the power of Python for data cleaning and Natural Language Processing. Master essential functions, algorithms, and programming methods to level up your skills!
Trusted by 220,000+ people worldwide.
An outline of this training course
Elevate your Python expertise with our intermediate course led by Gaelim Holland. Master enhanced visuals and natural language processing (NLP), and learn to build custom functions for smarter data transformation and integration into Power BI dashboards. Perfect for those with a basic Python foundation, this course will expand your capabilities in powerful data analysis.
Details of what you will learn in this course
- Build - repeatable code that can be applied to different datasets.
- Use - complex Python visuals like heatmaps and kernel density plots that are not available in Power BI
- Define - programming concepts such as "for loops", "list comprehension" and "user defined functions"
- Use - basic and algorithmic methods in exploring Natural language Processing (NLP) concepts in tokenizing, lemmatization, sentiment, and frequency
What you get with the course
- Over 4 hours of intensive training videos
- Resource pack
Here are the specifics for the course
Learn how to:
- Building custom functions
- Quick transformation and data cleanup
- Introduction to NLP
- "For loops" programming concepts
- Basic and algorithmic methods
What our
Students Say
Curriculum
Introduction
Python II For Power BI Users
Your Feedback
Certification
Continuous Learning
Your
Instructor
Gaelim Holland
Enterprise DNA Expert
- 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.
- My 15 year career has allowed me to work in multiple data science roles in several industries at organizations from the startup level to Fortune 500 companies across 3 continents.
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Questions
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