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.

Created by: Analytics Vidhya
Data Science Community

What Will I 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

Requirements

• Basic know-how of Excel
• A willingness to engage in hands-on exercise and case study

Target audience

• Professionals using data to make decisions
• Professionals who presenting reports / data on performance
• Professionals involved in evaluating projects and tasks
• Any student about to enter the job market, looking for a competitive edge for making decisions
• Any individual looking to add value to their business using No-Code AI
• Any individual not comfortable with coding but interested in leveraging Machine Learning and AI