-
1
Critical Thinking, Analytical Thinking & Communication Skill (00:00)
-
Sesi 1 - Critical Thinking, Strategic Thinking & Proactive Learning
-
Sesi 2 - Communication Skill
-
-
2
Introduction to Data Analytics, Data Governance & Business Knowledge (00:00)
-
Sesi 3 - Introduction to Data Analytics and Data Governance
-
Sesi 4 - Business Knowledge and Data Driven Decision Making
-
-
3
Python for Data Science (00:00)
-
Sesi 5 - Introduction to Python
-
Sesi 6 - Conditions and Loops
-
Sesi 7 - Function, Basic Module, and Package
-
Sesi 8 - Data Cleaning and Manipulation using Pandas
-
Sesi 10 - Data Communication with API
-
Sesi 11 - Data Visualization using Matplotlib and Seaborn
-
Sesi 12 - Practical Descriptive Statistics
-
Sesi 13 - Practical Inferential Statistics
-
-
4
Machine Learning (00:00)
-
Sesi 14 - Introduction to Machine Learning and Regression
-
Sesi 15 - Feature Engineering Part 1
-
Sesi 16 - Feature Engineering Part 2
-
Sesi 17 - Regularization and Classification
-
Sesi 18 - Decision Tree, Ensemble Learning and Hyperparameter Tuning
-
Sesi 19 - Unsupervised Learning
-
-
5
Deep Learning (00:00)
-
Implementing Deep Learning with TensorFlow
-