Alur Belajar Menjadi DATA ANALYST 2024 | FREE

Introduction

This tutorial provides a comprehensive guide on how to become a Data Analyst in 2024. It outlines a step-by-step learning path using free resources, making it ideal for beginners looking to develop their skills independently.

Step 1: Understand the Role of a Data Analyst

• A Data Analyst interprets data and provides actionable insights.
• Key skills include statistical analysis, data visualization, and proficiency in tools like Excel and SQL.

Step 2: Explore Job Prospects and Salary Range

• Research the job market for Data Analysts to understand opportunities.
• Average salary varies by location and experience; familiarize yourself with salary ranges to set realistic expectations.

Step 3: Master Excel

• Start with Basic Excel Skills:

  • Learn formulas, functions, and data manipulation.
  • Resource: Basic Excel Playlist

• Advance to Intermediate Skills:

  • Focus on pivot tables, advanced functions, and data analysis tools.
  • Resource: Intermediate Excel Playlist

Step 4: Learn Programming Languages

• Python and R are essential for data analysis.
  • Start with Python to understand its syntax and libraries for data manipulation.
  • Resource: Python Video Playlist
  • Explore Belajar Python for tutorials.

Step 5: Gain Proficiency in SQL

• SQL is crucial for managing and querying databases.
• Resource: SQL Video Playlist
• Learn SQL basics from sites like W3Schools.

Step 6: Study Statistics

• Understanding statistics is key for data analysis.
• Focus on:
  • Descriptive Statistics
    • Resource: Descriptive Statistics Playlist
  • Basic Probability
    • Resource: Basic Probability Playlist
  • Inferential Statistics
    • Resource: Inferential Statistics Playlist

Step 7: Learn Data Visualization Tools

• Familiarize yourself with tools like:
  • Tableau: for creating interactive dashboards.
    • Resource: Tableau Playlist
  • Power BI: for business analytics and reporting.
    • Resource: Power BI Playlist
  • Google Data Studio: for data visualization and reporting.

Step 8: Apply Knowledge Through Case Studies

• Engage with real-world scenarios to solidify your understanding:
  • Marketing Analysis: Explore how data influences marketing strategies.
    • Resource: Marketing Analysis Playlist
  • Titanic Data Analysis: Learn predictive modeling from historical data.
    • Resource: Titanic Analysis Playlist
  • Credit Risk Modeling: Understand financial data assessment.
    • Resource: Credit Risk Model Playlist

Conclusion

Becoming a Data Analyst involves understanding the role, mastering essential tools like Excel, Python, SQL, and statistics, and applying your skills through practical case studies. Start with the resources provided, and progressively build your expertise. Engage with communities for support and feedback as you learn. Happy analyzing!