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1
Pre Test (00:00)
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Pre Test
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2
Introduction to Data, Data Analytics & Data Governance (00:00)
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Sesi 1
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3
Business Knowledge & Data-driven Decision Making (00:00)
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Sesi 2
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4
Excel for Data Analysis & Data Visualization (00:00)
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Sesi 3
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5
Data-driven Decision Making with Excel and use case presentation (00:00)
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Sesi 4
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6
Introduction to Data Visualization, Storytelling and Mastering Looker Data Studio - Part 1 (00:00)
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Sesi 5
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7
Mastering Looker Data Studio - Part 2 (00:00)
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Sesi 6
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Mini Project
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8
Introduction to Tableau (00:00)
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Sesi 7
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9
Data Visualization with Tableau - Part 1 (00:00)
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Sesi 8
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10
Data Visualization with Tableau - Part 2 (00:00)
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Sesi 9
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Mini Project
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11
Critical Thinking, Strategic Thinking & Proactive Learning (00:00)
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Sesi 10
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12
Communication Skill (00:00)
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Sesi 11
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13
Basic Database Concepts & SQL (00:00)
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Sesi 12
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14
DML, DCL & TCL (00:00)
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Sesi 13
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15
DQL, Index & Explain Query (00:00)
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Sesi 14
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16
Join, Subquery & Normalisasi Data, Window Function (00:00)
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Sesi 15
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17
Data Wrangling with SQL (00:00)
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Sesi 16
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18
Introduction to Power BI & Power Query (00:00)
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Sesi 17
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19
Mastering Power BI Part 1 (00:00)
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Sesi 18
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20
Mastering Power BI Part 2 (00:00)
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Sesi 19
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21
Mastering Power BI Part 3 (00:00)
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Sesi 20
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Sesi 21 Presentasi Mini Project
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22
Workshop: Emotional Intelligence (00:00)
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Workshop: Emotional Intelligence
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23
Critical Thinking, Analytical Thinking & Communication Skill (00:00)
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Critical Thinking, Strategic Thinking & Proactive Learning
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Communication Skill
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24
Python Fundamentals (00:00)
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Sesi 23 Introduction to Python: Basic Syntax, Data Type, and Variable
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Sesi 24 Conditions, Control Flow & Looping
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Sesi 25 Function, Basic Module, and Package
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25
Data Preparation, Exploratory Data Analysis & Data Storytelling (00:00)
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Sesi 26 Data Exploration with Pandas
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Sesi 27 Data Cleaning with Pandas
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Sesi 28 Visualisasi Data & Storytelling
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26
Statistics for Data Science (00:00)
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Sesi 29 Descriptive statistics
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Sesi 30 Inferential Statistics
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27
Machine Learning & Regression (00:00)
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Sesi 31 Introduction to Machine Learning & Regression
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Sesi 32 Feature Engineering Part 1
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Sesi 33 Feature Engineering Part 2
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Sesi 34 Regularization & Classification
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Sesi 35 Decision Tree, Ensemble Learning & Hyperparameter Tuning
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Sesi 36 Case Study: Supervised Learning dan Instruksi final project
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28
Final Project (00:00)
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Sesi 37 Mentoring Final Project
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Sesi 38 Mentoring Final Project
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Sesi 39a How to Write a compelling and professional CV
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Sesi 39b Strategies and Techniques to prepare job interviews
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Sesi 40 Final Project Presentation
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29
Post Test (00:00)
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Post Test
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