ML for Business professionals using No-Code AI tools
Master data-driven decisions in business with No-Code AI. Explore Tableau, ML, Deep Learning & ChatGPT for insights.
4.57 (73 reviews)

997
students
5 hours
content
Oct 2023
last update
$19.99
regular price
What you will learn
Understand the critical role of data in modern business and the importance of data-driven decision-making
Empower yourself to make data-driven decisions independently with no code tools like Tableau and Orange Data Mining
Master fundamental statistical measures like Mean, Median, and Standard Deviation for decision-making
Differentiate between various decision-making approaches and their pros and cons
Recognize common biases in decision-making through real-world examples
Understand Confidence Intervals and sample bias with practical illustrations
Gain hands-on experience in data preparation using drag-and-drop tools like Tableau Public and Orange
Evaluate reports, charts, and visualizations to uncover insights
Understand different types of Machine Learning problems, algorithms, and evaluation metrics
Explore the power of No-Code AI tools with Tableau and Orange, to build and assess machine learning models without coding
Create ML models (Classification, Regression, and Unsupervised) using Orange without a single line of coding
Gain expertise in various machine learning algorithms, including KNN, Decision Trees, Random Forest, Logistic Regression, K-Means, and Hierarchical Clustering
Learn to identify important features and best practices for creating high-quality ML models
Dive into Deep Learning and its applications in business problem-solving
Explore optional topics, including using Machine Learning for Images and Text Data with No-Code tools
Stay up-to-date with the latest trends in Generative AI tools including ChatGPT for text-generation, and Image Generation using DALL-E
Explore the ethical considerations surrounding AI and Machine Learning
Screenshots




5541534
udemy ID
9/5/2023
course created date
9/16/2023
course indexed date
Bot
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