Prerequisites for Learning Data Science
- Basic understanding of mathematics (high school level)
- Logical thinking and problem-solving mindset
- No prior programming experience required
- Familiarity with computers and internet usage
What Will You Learn in this Data Science Training:
- Introduction to Data Science concepts
- Data types, structures, and lifecycle
- Basics of statistics and probability
- Introduction to Python for data analysis
- Data cleaning and preprocessing
- Exploratory Data Analysis (EDA)
- Data visualization techniques
- Working with Pandas and NumPy
- Introduction to machine learning models
- Real-world case studies
- Predictive analytics and model evaluation
- Performance optimization techniques
- Data security and governance basics
- Industry best practices
- Enterprise-level data workflows
Tools and Technologies Covered
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebook
- Excel
