Data-Driven Policy Making and Upgrade Public Program Accuracy.

Online Dat- Driven Policy Making Class discussing the concept and engineering of data analysis to support the drafting of more accurate public policy. Participants will study the basic statistics, data processing, to the interpretation of analytic results to improve the quality of research and data-based programs.

_ | 19.00-21.00 WIB

BG-Zoom- COC -1 -1280x720 COC DATA -DRIVEN 2025

2 Topic

120 Minutes

10 JP Certificate

Software: Microsoft Excel / Google Sheets, Google Colab (Viewer Mode), and Tableau Public / Looker Studio

Silabus

1. Data misconception and your role

2. Wajib: Microsoft Excel / Sheets Introduction

3. Base Statistics I: Median

Four. Base 2 Statistics: Viewing Data Sect · Global Voices

Measure Public Services and Risk Data Biosed (Median vs. Mean)

Hands-On Statistic Basic Function (SUM, AVERAGE, MEDIAN, STDEV) at Microsoft Excel / Google Sheets for Instance Data Summary

1. Lock Accuracy: Standardization Data

2. Concept Advanced Analytics (Ensemble)

3. Interpretation I: Feature Importance and Accuracy

4. Interpretation II: Policy and Action

Data-Driven Policy Making (Data-Based Policy) for increase in Public Program accuracy

Implementation Data Standardization and Interpretation Ensemble Results (Accuration & Feature Importance) from Google Colab / Dashboard

Rp. 100,000,

Call us whenever you want to ask about this class.

Benefit

  1. E-Certimate (10JP)
  2. Access material and recording
  3. Live class and practice sessions
  4. Intensive capacity with google classrooms
  5. Q & A with experienced trainers
  6. Exclusive Discussion Group

Admin until 7 days of training

Minder

Profiles -Landing-Page COC DATA -DRIVEN 2025

Nada Ayunda Sovia, S.matt, M.Stat.

Indonesian CPDS expert, spatial analysis skills, Machine Learning, Data Mining.