Data Mining for Business Analytics & Data Analysis in Python
Python for Data Analytics & Explainable Artificial Intelligence. Data Mining for Business Data Analytics & Intelligence.
Product Brand: Udemy
4.4
Data Mining for Business Analytics & Data Analysis in Python Coupon Code. Python for Data Analytics & Explainable Artificial Intelligence. Data Mining for Business Data Analytics & Intelligence.
Data Mining for Business Analytics & Data Analysis in Python
Data Mining for Business Analytics & Data Analysis in Python Course. 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.
What you’ll learn
- 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.
Recommended Course
Master Python for Data Analysis and Business Analytics 2025 Coupon Code
Master Python for Data Analysis and Business Analytics 2025
Master Python for Data Analysis and Business Analytics 2025 Course. Discover how Python can propel your career forward with Advanced Data Analysis taught by a Real-World Expert – Guaranteed Results! Are you ready to transform how you handle data? Dive into Python with me, and emerge as a force in data analysis and business intelligence. This course isn’t just about learning Python; it’s about mastering the skills that will make you indispensable in today’s data-driven world.
Econometrics and Statistics for Business in R & Python Coupon Code
Econometrics and Statistics for Business in R & Python
Econometrics and Statistics for Business in R & Python Course. Econometrics has horrible fame. The complex theorems, combined with boring classes where it feels like you are learning Greek, give every student nightmares. This course stays away from that. It will focus on (1) giving you the intuition and tools to apply the techniques learned, (2) making sure everything that you learn is actionable in your career, and (3) offer you a tool kit of peer-reviewed econometric causal inference techniques that will make you stand out and give you the ability to answer the tough questions.
Who this course is for:
- Professionals looking to learn Data Mining algorithms
- Data Analysts starting to learn Data Mining techniques
- Business Analysts looking to learn algorithms on how to uncover business insights
- Any Python programmer who would like to learn Data Mining tools
Instructor
Diogo Alves de Resende – Diogo is a data analytics and business analytics professional with years of experience in the field. He has expertise in various methodologies, including time series forecasting for predicting sales trends, econometrics for analyzing economic data, and machine learning for optimizing marketing campaigns.
His background includes working for a major e-commerce company, where he used these techniques to drive business growth, and collaborating with the United Nations on a Mobile Money project in Lesotho, where he helped increase financial inclusion in the country.
In his courses, Diogo aims to provide practical and applicable knowledge through real-life examples and datasets. For example, he often uses case studies from his own work experiences to illustrate key concepts and demonstrate their relevance in the professional world. His goal is to equip students with the skills and tools necessary to succeed in their own careers in data science.
