S0E1 | Pengantar dunia Data Science, role, dan gajinya

Data Science Overview and Phases
📌 Data Science is a multidisciplinary field aimed at extracting information from data.
⚙️ The process is broken down into three main phases: Analysis (Diagnosis) of past events, Modeling to create predictive outputs, and Testing to improve predictions.
📊 The analysis phase involves identifying business questions, such as which city has the highest sales, which is then addressed by a Data Analyst.

Roles in the Data Science Ecosystem (Analysis Phase)
👔 The Business Analyst focuses on understanding business needs and formulating business questions.
📈 The Data Analyst analyzes existing data to answer business questions and presents findings, often using storytelling techniques.
💾 Roles supporting data accessibility include the Data Architect (creating blueprints), Data Engineer (building data pipelines), and Database Administrator (managing access and backups).

Roles in the Modeling and Deployment Phases
🔮 The Data Scientist handles the predictive phase, utilizing statistics and mathematics to build models for forecasting (e.g., predicting next month's sales volume).
🛠️ ML Engineers or AI Engineers take models from Data Scientists and convert them into maintainable and efficient code for deployment, often bridging the gap with software engineering principles.
🌐 The deployed model is then integrated by Backend and Frontend Developers into applications or web interfaces, with DevOps Engineers handling continuous monitoring.

Job Market Opportunities and Salaries (2020 Data)
🚀 Skills like Cloud Computing, Analytical Reasoning, and AI/Business Analysis dominated the top required skills according to LinkedIn data.
🥇 Data Scientists showed the highest demand in terms of job volume and rapid growth based on World Economic Forum/LinkedIn data from 2020.
💰 Average reported salaries in Indonesia (2020 Glassdoor data) showed Data Scientists earning around 12.6M to 13M (IDR), while Data Analysts earned about 8.4M (IDR).

Key Points & Insights
➡️ Data Science encompasses analytical diagnosis, predictive modeling, and subsequent testing/improvement loops, ensuring continuous refinement of insights.
➡️ Data Engineers are crucial for managing data pipelines so that Data Analysts and Scientists can easily access necessary data without complex queries.
➡️ The booming growth in Data Science, especially driven by technologies like Machine Learning, indicates extraordinary opportunities despite increasing competition.
➡️ Salaries for specialized roles like Data Scientist (12.6M-13M) are notably higher than roles like Data Analyst (8.4M), reflecting the specialized skill set required for predictive modeling.

📸 Video summarized with SummaryTube.com on Feb 05, 2026, 09:13 UTC