IIQMC Data Science & Machine Learning Program
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🌟 Machine Learning, Data Science & Deep Learning with Python
Master the Future of AI-Driven Analytics with Real Projects
Offered by IIQMC – International Initiative for Quality Management & Computing
🎯 Course Overview
Unleash the power of Machine Learning, Data Science, and Deep Learning in one comprehensive program. Whether you’re a beginner or looking to sharpen your AI skillset, this course covers everything from Python foundations to building complex neural networks using TensorFlow and Keras.
Designed by industry experts, this hands-on course helps you develop the skills employers demand – from data wrangling and statistical modeling to building real-world AI-powered applications.
📘 What You’ll Learn
✅ Python programming for data analysis
✅ Statistics and Probability for Data Science
✅ Feature engineering, data wrangling & visualization
✅ Supervised and unsupervised machine learning models
✅ Neural networks, CNNs, RNNs, and deep learning concepts
✅ End-to-end machine learning pipelines with deployment strategies
✅ Real-world case studies and a capstone project
🧠 Who Should Enroll?
This course is perfect for:
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Beginners aspiring to enter the field of AI & Data Science
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Working professionals wanting to upskill in ML/DL
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Engineers, analysts, and IT graduates
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Anyone curious to build AI-powered applications
📚 Course Curriculum
Beginner Modules
1️⃣ Python for Data Science
2️⃣ Statistics & Probability
3️⃣ Data Wrangling & Feature Engineering
4️⃣ Introduction to Machine Learning
Intermediate Modules
5️⃣ Supervised Learning (Regression, Trees, SVM)
6️⃣ Unsupervised Learning (Clustering, PCA)
7️⃣ Model Tuning & Validation
Advanced Modules
8️⃣ Deep Learning Fundamentals (Neural Nets, Keras)
9️⃣ Image & Text Classification (CNN, RNN, LSTM)
🔟 Capstone Project + Career Support
🛠️ Hands-On Projects Include:
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Customer Segmentation using k-Means
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House Price Prediction with Linear Regression
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Fraud Detection using Random Forest
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Image Classification with CNN
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Sentiment Analysis using LSTM
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End-to-End ML Pipeline on Real Business Dataset
🏆 What You Get
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50+ Hours of Video Content
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100+ Lab Exercises & Projects
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Lifetime Access + Certificate from IIQMC
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Resume & Interview Preparation
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Community Access & Mentorship Support
🎓 Certification
Upon successful completion, earn an Industry-Recognized Certificate from IIQMC, verifiable and shareable on LinkedIn.
📅 Enroll Now – Start Your AI Journey
Curriculum
- 10 Sections
- 49 Lessons
- 26 Weeks
- Module 1: Python for Data Science6
- Module 2: Statistics and Probability for Data Science6
- Module 3: Data Wrangling and Feature Engineering6
- Module 4: Introduction to Machine Learning4
- Module 5: Supervised Machine Learning6
- Module 6: Unsupervised Learning3
- Module 7: Model Tuning and Validation5
- Module 8: Introduction to Deep Learning5
- Module 9: Deep Learning Projects4
- Module 10: Capstone Project & Industry Case Studies4

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