Skills Gained
- Data Analysis
- Machine Learning
- Python Programming
- Statistical Analysis
- Data Visualization
- Pandas & NumPy
Course Highlights
Comprehensive training in data science fundamentals, including data manipulation, analysis, and machine learning techniques. Gained hands-on experience with real-world datasets and practical applications of data science concepts.
Learning Outcomes
- Understanding of core data science concepts and methodologies
- Ability to clean, analyze, and visualize data using Python
- Experience with machine learning algorithms and model evaluation
- Knowledge of statistical analysis and hypothesis testing
- Skills in using data science libraries like Pandas, NumPy, and Scikit-learn
Course Content
Key Topics Covered:
- Python for Data Science
- Data Cleaning and Preprocessing
- Exploratory Data Analysis
- Statistical Methods
- Machine Learning Algorithms
- Data Visualization Techniques
- Real-world Case Studies