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1
Critical Thinking, Analytical Thinking & Communication Skill (00:00)
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Sesi 1 - Critical Thinking, Strategic Thinking & Proactive Learning
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Sesi 2 - Communication Skill
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2
Introduction to Data Analytics, Data Governance & Business Knowledge (00:00)
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Sesi 3 - Introduction to Data Analytics and Data Governance
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Sesi 4 - Business Knowledge and Data Driven Decision Making
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3
Python for Data Science (00:00)
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Pre Test Part 1
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Sesi 5 - Introduction to Python
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Sesi 6 - Conditions and Loops
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Sesi 7 - Function, Basic Module, and Package
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Sesi 8 - Data Cleaning and Manipulation using Pandas
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Sesi 9 - Data Gathering using Web Scraping
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Sesi 10 - Data Communication with API
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Sesi 11 - Data Visualization using Matplotlib and Seaborn
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Sesi 12 - Practical Descriptive Statistics
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Sesi 13 - Practical Inferential Statistics
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Post Test Part 1
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4
Machine Learning (00:00)
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Pre Test Part 2
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Sesi 14 - Introduction to Machine Learning and Regression
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Sesi 15 - Feature Engineering Part 1
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Sesi 16 - Feature Engineering Part 2
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Sesi 17 - Regularization and Classification
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Sesi 18 - Decision Tree, Ensemble Learning and Hyperparameter Tuning
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Sesi 19 - Unsupervised Learning
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Sesi 20 - Building Machine Learning Apps with Streamlit
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Sesi 20 - Mini Project 1 Announcement
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Sesi 21 - Time Series Part 1
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Sesi 22 - Time Series Part 2
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Sesi 23 - Mini Project Completion 1
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Post Test Part 2
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5
Deep Learning (00:00)
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Pre Test
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Sesi 24 - Introduction to Artificial Neural Network
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Sesi 25 - Training Neural Network and Optimization
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Sesi 26 - Tensorflow and Pytorch Framework
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Sesi 26 - Mini Project 2 Announcement
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Sesi 27 - Computer Vision
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Sesi 28 - Natural Language Processing
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Sesi 29 - TF Model Deployment
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Sesi 30 - Mini Project Completion 2
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Post Test
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6
Emotional Intelligence (00:00)
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Sesi 31 - Workshop: Emotional Intelligence
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7
LLM (00:00)
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Pre Test
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Post Test
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