Project: Google specialization - 7 course series.
Platforms and tools: Jupyter Notebook, Python, Tableau
Description: This repository contains my notebooks and course projects from the Google series of seven courses I completed:
- Foundations of Data Science
- Go Beyond the Numbers: Translate Data into Insights
- The Power of Statistics
- Regression Analysis: Simplify Complex Data Relationships
- The Nuts and Bolts of Machine Learning
- Google Advanced Data Analytics Capstone
- Accelerate Your Job Search with AI
The specialization focuses on data analysis methods using Python libraries for Machine Learning and covers the following skills:
- Data Analysis
- Data Ethics
- Data Presentation
- Data Science
- Data Storytelling
- Data Visualization Software
- Exploratory Data Analysis
- Feature Engineering
- Interviewing Skills
- Machine Learning
- Object Oriented Programming (OOP)
- Regression Analysis
- Sampling (Statistics)
- Statistical Analysis
- Statistical Hypothesis Testing
- Statistics
- Tableau Software
- Data Visualization
- A/B Testing
Results / Key Findings: This program included over 200 hours of instruction and hundreds of practice-based assessments, which helped me simulate real-world advanced data analytics scenarios that are critical for success in the workplace. The Course_Lab_Projects folder in the repository contains my project lab work for each course, as well as the final stone project named "Providing data-driven suggestions for HR" that completes the specialization.
Verify this certificate at: https://coursera.org/verify/professional-cert/DLUS5V9S6MMK
