Executive Development Programme in ML for Market Research: Results-Oriented
-- viewing nowThe Executive Development Programme in ML for Market Research is a crucial certificate course for professionals seeking career advancement in the rapidly evolving field of data-driven market research. This results-oriented programme focuses on equipping learners with essential skills in machine learning (ML) and artificial intelligence (AI) to help them make informed, data-backed decisions that drive business growth.
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Course Details
• Introduction to Machine Learning (ML): Understanding the basics of ML, its types, and applications.
• Data Preprocessing for ML: Data cleaning, normalization, transformation, and feature selection.
• Supervised Learning Algorithms: Linear regression, logistic regression, decision trees, random forests, and support vector machines.
• Unsupervised Learning Algorithms: Clustering algorithms like K-means and hierarchical clustering, and dimensionality reduction techniques like principal component analysis (PCA).
• Neural Networks and Deep Learning: Introduction to artificial neural networks, backpropagation, and deep learning frameworks.
• Reinforcement Learning: Understanding the basics and applications of reinforcement learning.
• Evaluation Metrics for ML: Accuracy, precision, recall, F1 score, ROC curves, and AUC.
• Machine Learning for Market Research: Using ML techniques to analyze market trends, customer behavior, and segmentation.
• Ethics and Bias in ML: Understanding the ethical implications and biases in ML models and techniques to mitigate them.
• Implementing ML in Business: Building a successful ML project, data governance, and scaling ML models in a production environment.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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