Data Mining for Business Analytics & Data Analysis in Python
Data Mining for Business Analytics & Data Analysis in Python Courses Online from Udemy. Python for Data Analytics & Explainable Artificial Intelligence. Data Mining for Business Data Analytics & Intelligence.
Description
Data Mining for Business Analytics & Data Analysis in Python
Are you looking to learn how to do Data Mining like a pro? Do you want to find actionable business insights using data science and analytics and explainable artificial intelligence? You have come to the right place.
I will show you the most impactful Data Mining algorithms using Python that I have witnessed in my professional career to derive meaningful insights and interpret data.
In the age of endless spreadsheets, it is easy to feel overwhelmed with so much data. This is where Data Mining techniques come in. To swiftly analyze, find patterns, and deliver an outcome to you. For me, the Data Mining value added is that you stop the number crunching and pivot table creation, leaving time to come with actionable plans based on the insights.
Now, why should you enroll in the Data Mining course? Let me give you four reasons.
The first is that you will learn the models’ intuition without focusing too much on the math. It is crucial that you know why a model makes sense and the underlying assumptions behind it. I will explain to you each model using words, graphs, and metaphors, leaving math and the Greek alphabet to the bare minimum.
The second reason is the thorough course structure of the most impactful Data Mining techniques for Data Science and Business Analytics. Based on my experience, the course curriculum has the algorithms I believe to be most impactful, up-to-date, and sought after.
The third reason is that we code Python together, line by line. Programming is challenging, especially for beginners. I will guide you through every Python code snippet. I will also explain all parameters and functions that you need to use, step by step. In the end, you will have code templates ready to use in your problems.
The final reason is that you practice, practice, practice. At the end of each section, there is a challenge. The goal is that you apply immediately what you have learned. I give you a dataset and a list of actions you need to take to solve it. I think it is the best way to really cement all the techniques in you. Hence, there will be 2 case studies per technique.
What you’ll learn
Data Mining for Business Analytics
- Identify the value of data mining for quickly analyzing and interpreting data.
- Apply data mining algorithms using Python programming language for Business Analytics.
- Explain the principles behind various data mining algorithms, including supervised and unsupervised machine learning, and explainable AI
- Explain the results of data mining models using explainable artificial intelligence models: LIME and SHAP.
- Practice applying data mining techniques through hands-on exercises and case studies.
- Implement cluster analysis, dimension reduction, and association rule learning using Python.
- Perform survival analysis, Cox proportional hazard regression, and CHAID using Python.
- Use random forest and feature selection to improve the accuracy of data mining models.
- Develop a portfolio of data mining projects for Business Data Analytics and Intelligence.
- Use data mining techniques to inform business decisions and strategies.
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Data Mining Courses Review
Data Mining for Business Analytics & Data Analysis in Python Courses
Everything You Need to Know About Data Mining for Business Analytics & Data Analysis in Python
This course is a comprehensive and well-structured introduction to Data Mining for Business Analytics & Data Analysis in Python. The instructor, Diogo Alves de Resende is a leading expert in the field with a wealth of experience in Development to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
Data Mining Courses Online
The course is divided into sections, each of which covers a different aspect related to Data Mining for Business Analytics & Data Analysis in Python. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Data Mining for Business Analytics & Data Analysis in Python. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
