Google Advance Data Analytics
Date Completed:
Training on fundamentals of Data Analytics using Python. Included hands-on, practice-based assessments.
Fundamental of Data Analytics
Learned Key Analytical skills:
- Data Cleaning and Manipulation of Big Data
- Data Analysis and Calculations using Statistics, Regression and Machine Learning Models
- Data Visualization
End-of Course Project:
Company Human Resources Dataset
Overview
- Problem: High Rate of Employee Turnover
- Goal: Create a Machine Learning Model to predict Employee retention
Python Modules:
- Pandas
- Numpy
- Matplotlib
- Seaborn
- Scikit-learn
- XGBoost
Project links:
- Github Repository: SALIFORT MOTORS EMPLOYEE RETENTION
- Kaggle: Employee Retention Analysis (LogReg - DT/RF/XRG)
View Certificate: https://johnnapa.github.io/files/Napa_Google_Advanced_Data_Analytics_Professional_Certificate.pdf