Python for Data Career: Analysis & Automation to Work Faster

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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


Curriculum

Modul 1 Python for Absolute Beginners

  • Overview
  • Understanding Python
  • Variables, Data Types & Operators (Part 1–3)
  • Python Data Structures (Part 1–2)
  • Latihan Soal

Modul 2 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 3 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 4 Mastering Data Cleaning with Python

  • Overview
  • Advanced Processing & Merging Data
  • Cleaning & Transformation (Part 1–3)
  • Efficient Storage with Python Pickle

Modul 5 Exploratory Data Analysis (EDA) & Visualization

  • Overview
  • EDA Fundamentals (Part 1–3)
  • Matplotlib Basics
  • Hands-On (Part 1–2)

Modul 6 Handling Big Data Like a Pro

  • Overview
  • RFM Segmentation
  • K-Means Clustering (Part 1–2)
  • Running A/B Test
  • QnA

Modul 7 Advanced Python Hacks

  • Overview
  • Logistic Regression Introduction
  • Propensity Score Model
  • Logistic Regression Modeling
  • Evaluating Model Performance
  • QnA

Modul 8 Mastering Propensity Models for Business Insights

  • Overview
  • Deep Dive Logistic Regression
  • Evaluation Metrics (Part 1–2)
  • Hands-On (Part 1–2)
  • QnA

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