Deskripsi
Our Mentor
- Javas Alfreda - Senior Product Data Analyst - Link Aja
- Gerald Plakasa - Data Analyst - Pertamina
- Lingga Aji - Business Intelligence Analyst - Telkomsel
- Anugrah Akbar - AI Engineer - AlloBank
Kurikulum
Modul 1 Overview of Data Analysis, Career, and Salary
- Overview of Data Analyst Career and Salary Part 1
- Overview of Data Analyst Career and Salary Part 2
- Overview of Data Analyst Career and Salary Part 3
- QnA
Modul 2 Boost Your Skills with Advanced Excel
- Overview
- Finding Insight: Sort & Filter (Part 1–2)
- Join Functions: VLOOKUP, XLOOKUP, INDEX MATCH, Pivot Table (Part 1–2)
- Statistics for Data Analyst & Conditional Formatting
Modul 3 Advanced Excel Skills for Data Analysts
- Overview
- Data Cleaning in Excel
- Data Validation
- Dashboard with Excel
Modul 4 Exploring the World of Statistics & Insight Analysis
- Overview
- Introduction to Statistics (Part 1–2)
- Descriptive vs Inferential Statistics
- Hypothesis Testing
- Statistical Tests
- Latihan Soal
- QnA
Modul 5 Ultimate Data-Driven Decisions
- Overview
- Understanding A/B Testing (Part 1–2)
- Mastering Correlation
- Regression Analysis for Predictive Modeling (Part 1–2)
Modul 6 Understanding Business Challenges (Part 1)
- OverviewIntroduction to Business Problems
- Business Frameworks
- Prioritizing Action to Improve Productivity
- Developing Hypotheses and Proving Them
- Identifying Root Causes
- QnA
Modul 7 Understanding Business Challenges (Part 2)
- Overview
- How Business Problems Relate to Analytics
- Business Goals & Metrics
- Determining a Good Metric (Part 1–2)
- Dashboard & Performance Monitoring
- Funnel Analysis
Modul 8 Foundation for Data Mastery with SQL
- Overview
- Databases & Data Types
- SQL Basics: What, Why, How
- SQL Fundamentals: SELECT, FROM, WHERE, LIMIT
- Hands-On (Part 1–3)
Modul 9 Boost Your SQL Skills
- Overview
- Ordering & Alias
- Aggregate Functions
- String & Character Functions
- DDL & DML
- Hands-On
Modul 10 Advanced SQL Mastery
- The SQL Mind Map
- Overview
- Advanced Aggregate Functions
- Advanced Text & Date Manipulation
- QnA
- Hands-On (Part 1–5)
Modul 11 SQL for Real-World Analysis
- Overview
- Join Concept
- Join Hands-On (Part 1–3)
- Cross Join
- UNION
- CASE WHEN
Modul 12 Ultimate SQL Techniques
- Overview
- Subqueries
- CTE (Common Table Expression)
- Window Functions
- Hands-On (Part 1–3)
Modul 13 Python for Absolute Beginners
- Overview
- Understanding Python
- Variables, Data Types & Operators (Part 1–3)
- Python Data Structures (Part 1–2)
- Latihan Soal
Modul 14 Python Essentials for Data Analysts
- Overview
- Conditional Statements & Loops (Part 1–2)
- Built-In & User-Defined Functions
- Error Handling (Try-Except)
- NumPy Essentials
- QnA
Modul 15 Unlock the Power of Python for Data Analysis
- Tableau Basics
- Intro to Pandas
- Data Manipulation with Pandas (Part 1–5)
- Data Analysis & Statistics
- QnA
Modul 16 Mastering Data Cleaning with Python
- Overview
- Advanced Processing & Merging Data
- Cleaning & Transformation (Part 1–3)
- Efficient Storage with Python Pickle
Modul 17 Exploratory Data Analysis (EDA) & Visualization
- Overview
- EDA Fundamentals (Part 1–3)
- Matplotlib Basics
- Hands-On (Part 1–2)
Modul 18 Handling Big Data Like a Pro
- Overview
- RFM Segmentation
- K-Means Clustering (Part 1–2)
- Running A/B Test
- QnA
Modul 19 Advanced Python Hacks
- Overview
- Logistic Regression Introduction
- Propensity Score Model
- Logistic Regression Modeling
- Evaluating Model Performance
- QnA
Modul 20 Mastering Propensity Models for Business Insights
- Overview
- Deep Dive Logistic Regression
- Evaluation Metrics (Part 1–2)
- Hands-On (Part 1–2)
- QnA
Modul 21 Tableau for Beginners: Tell Stories with Data
- Understanding the Fundamentals
- Creating Insight (Part 1–2)
- Getting Started with Tableau
- Study Case
Modul 22 Data Preparation in Tableau (Beginner → Advanced)
- Overview
- Tableau Data Types
- Discrete vs Continuous
- Working with Date & Hierarchy
- Grouping Data
- Sets & Bins (Part 1–2)
- Using Parameters
- QnA
Modul 23 Creating Impactful Dashboards in Tableau
- Overview
- Calculation Fields (Part 1–3)
- Exploratory Data Analysis (Part 1–2)
- Designing Dashboard
Modul 24 — Advanced Visualizations & Mapping
- Overview
- Storytelling Maps
- Interactive Maps
- Advanced Maps (Part 1–2 & 4)
Modul 25 Advanced Tableau for Data Insights
- Overview
- Advanced Charts
- Visualization Tools (Part 1–3)
Modul 26 The Art of Data Storytelling
- Overview
- Data Storytelling Concepts
- Preparation
- Choosing the Right Visualization
- Crafting Great Narratives
- Additional Techniques
Modul 27 Ultimate Guide to Machine Learning
- Overview
- Definition & Scope
- Machine Learning Types
- Intro to Supervised Learning (Part 1–2)
- QnA
Modul 28 Find Insights with Advanced Machine Learning
- Overview
- Choosing Best Model (Part 1–2)
- Overfitting vs Underfitting
- Cross Validation
- Hyperparameter Tuning
- End-to-End ML Project
- QnA
Modul 29 Machine Learning Optimization & Deployment
- Overview
- Evaluating Model
- Unsupervised Learning
- Recommendation System