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1
Absensi Peserta dan Pengajar (00:00)
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Absensi Peserta dan Pengajar
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2
Pre Test (00:00)
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Pre Test
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3
Fundamental Python (00:00)
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Sesi 1 - Introduction to Data Analytics & Python
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Sesi 2 - Conditionals and Iteration (Loops)
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Sesi 3 - Function, Module & Package
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4
Data Transformation and Exploration (00:00)
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Sesi 4 - Numpy for numerical data manipulation
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Sesi 5 - Data Exploration With Pandas
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Sesi 6 - Data Cleaning with Pandas
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(optional) Time Series Case Study
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5
Data and Statistical Analysis (00:00)
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Sesi 7 - Data and Statistical Analysis
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6
Data Visualization & Storytelling (00:00)
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Sesi 8 - Data Visualization & Storytelling
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7
Mini Project (00:00)
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Sesi 9 - Mentoring & Case Study
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8
Machine Learning & Feature Engineering (00:00)
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Sesi 10 - Introduction to Machine Learning & Linear Regression
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Sesi 11 - Feature Engineering - Part 1
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Sesi 12 - Feature Engineering - Part 2
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Final Project
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Sesi 13 - Regularization & Logistic Regression
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Optional - Decision Tree, Ensemble Learning, Hyperparameter Tuning
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Optional - Unsupervised (Clustering, PCA)
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9
Time Series Forecasting (00:00)
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Sesi 14 - Time Series Part 1
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Sesi 15 - Time Series Part 2a
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Sesi 15 - Time Series Part 2b
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Sesi 16 - Time Series Part-3b Deep Learning
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10
Mentoring & Checkpoint (00:00)
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Sesi 17 - Mentoring & Checkpoint
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Sesi 18 - Mentoring & Checkpoint
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Sesi 19 - Mentoring & Checkpoint
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11
Final Project Presentation (00:00)
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Sesi 20 - Final Project Presentation
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12
Post Test (00:00)
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Post Test
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