One of the most commonly-used programming languages in the world, Python is highly dynamic and can be used for almost any type of application. It’s perfect for anything from automation to data science. It’s the genius behind the recommendation algorithm that Netflix uses as well as the secret behind self-driving cars.
In this new course by one of or Enterprise DNA experts, Gaelim Holland, Power BI users can learn how to maximize the use of Python II in their usual report development process.
Understanding The Power Of Python II
What sets Python apart from older programming languages is the fact that it is object-oriented. It zeroes in on the objects or code data instead of the process by which the codes are built. This gives Python the flexibility that other languages do not usually have.
Python allows users to use the same basic codes over and over again for different purposes. All it takes is adding or removing objects as needed. This is why Python is usually easier to learn for beginners compared to languages like C or C++.
Another strength that Python has is its ability to find unused objects and remove it from the system. This frees up space as you work, making it easier to manage the available memory.
As an open-source language, anyone can freely learn and use Python. This is actually one of the reasons why Python has slowly been refined and perfected over the years as programmers continuously debug the system. There is also an abundance of resources, given the massive number of users.
In terms of data analysis, Python is perfect for visualizations and statistical calculations, no matter how complex they may be. This makes it the perfect partner to Power BI.
What To Expect
This course was created to help Power BI users learn about the functions, algorithms and programming methods used for Python that will allow you to clean up your data and perform natural language processing (NLP) in ways that are not usually possible in Power BI.
In this course, you will learn about:
- General program concepts such as building custom functions
- How to quickly transform and clean your data
- How to incorporate text analysis concepts to the Power BI dashboard
- How to build repeatable codes that can be applied to different datasets
- Complex Python visuals such as heat maps and kernel density plots
- Programming concepts such as “for loops”, “list comprehension” and “user defined functions”
- Using basic and algorithmic methods to apply NLP concepts in tokenizing, lemmatization, sentiment, and frequency
With these topics and more, you can have a solid foundation on how Python II can optimize the way you work with your data and develop your reports.
Who The Course Is For
The course is perfect for beginner to intermediate Power BI users who are somewhat familiar with the basics of Python and are interested in taking this basic knowledge to the next level.
It is highly recommended for those who would like to learn about custom word clouds, user-defined complex functions, heat maps, emoji processing, and sentiment analysis.
Our courses are exclusive for Enterprise DNA members, so if you haven’t upgraded to a full membership yet, this is the best time for you to do so.
About Gaelim Holland
Gaelim is an innovative data analyst and digital channel optimization specialist with a thorough knowledge of omni channel analytics and incorporating online and offline data in funnel analysis. Having worked in this field for over 15 years, he has mastered how to maximize online sales, revenue, and call-to-actions through conversion rate optimization, statistical science, and A/B testing.
Throughout his career, he has worked in multiple data science roles across various organizations, from start-up organizations to Fortune 500 companies.
All the best,
Enterprise DNA Team