- Matplotlib
- Data Import/Export
- Data Visualization
- Model Evaluation
- NumPy
- Regression Analysis
- Statistical Analysis
- Exploratory Data Analysis
- Data Transformation
- Pandas (Python Package)
- Data-Driven Decision-Making
- Python Programming
Data Analysis with Python
Completed by Ahmed Abdel Karim Abu siniyeh
December 10, 2019
17 hours (approximately)
Ahmed Abdel Karim Abu siniyeh's account is verified. Coursera certifies their successful completion of Data Analysis with Python
What you will learn
Construct Python programs to clean and prepare data for analysis by addressing missing values, formatting inconsistencies, normalization, and binning
Analyze real-world datasets through exploratory data analysis (EDA) using libraries such as Pandas, NumPy, and SciPy to uncover patterns and insights
Apply data operation techniques using dataframes to organize, summarize, and interpret data distributions, correlation analysis, and data pipelines
Develop and evaluate regression models using Scikit-learn, and use these models to generate predictions and support data-driven decision-making
Skills you will gain
