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Mastering Data Science: From Data Exploration to AI Deployment
Mastering Data Science: From Data Exploration to AI Deployment
Curriculum
6 Sections
16 Lessons
32 Hours
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Module 1: Introduction to Data Science and Data Visualization
4
1.0
Session 1: Data Science Overview
1.1
Session 2: Data Exploration with Pandas
1.2
Session 3: Data Visualization with Matplotlib & Seaborn
1.3
Session 4: Advanced Visualization with Tableau
Module 2: Big Data and Advanced Data Processing
2
2.0
Session 5: Big Data Analysis with PySpark
2.1
Session 6: Data Analysis with SQL
Module 3: Advanced Data Science Techniques
3
3.0
Session 7: Natural Language Processing (NLP)
3.1
Session 8: Time Series Analysis
3.2
Session 9: Data Science with Hadoop
Module 4: Machine Learning and Deployment
2
4.0
Session 10: Feature Engineering for Machine Learning
4.1
Session 11: Machine Learning Deployment
Module 5: Capstone Project
3
5.0
Session 12: Capstone Project Work (Week 1)
5.1
Session 13: Capstone Project Work (Week 2)
5.2
Session 14: Capstone Project Work (Week 3)
Module 6: Project Presentation and Feedback
2
6.0
Session 15: Capstone Project Presentation (Part 1)
6.1
Session 16: Capstone Project Presentation (Part 2)
Session 16: Capstone Project Presentation (Part 2)
Peer review and feedback.
Activity
: Refine your project based on feedback and prepare for submission.
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