Data Analyst Career Accelerator: Deep Skills for High-Income Career

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Deskripsi

Our Mentor

Industry practitioners from leading companies:

  • Huawei — Data Analytics
  • Telkom Indonesia — Business Intelligence
  • BAPPENAS — Data Analytics
  • LinkAja — Senior Product Data Analytics
  • Bukalapak — Data Analytics

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  

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