- Fundamental Concepts
- Data Understanding and Preparation
- Data Collection Methods
- Data Cleaning and Preprocessing
- Data Exploration and Visualization
- Statistical Analysis
- Descriptive Statistics
- Inferential Statistics
- Hypothesis Testing
- Data Understanding and Preparation
- Data Manipulation and Analysis
- Data Manipulation Tools
- SQL for Data Querying
- Pandas for Data Manipulation
- Data Analysis Techniques
- Exploratory Data Analysis (EDA)
- Time Series Analysis
- Dimensionality Reduction Techniques
- Data Manipulation Tools
- Data Visualization
- Visualization Tools and Libraries
- Matplotlib and Seaborn for Python
- Tableau for Business Intelligence
- Advanced Visualization Techniques
- Interactive Visualizations with Plotly
- Geospatial Data Visualization
- Visualization Tools and Libraries
- Machine Learning Integration
- Supervised vs Unsupervised Learning
- Model Selection and Evaluation
- Feature Engineering
- Big Data Technologies
- Introduction to Big Data Platforms
- Apache Hadoop Ecosystem
- Spark and its Ecosystem
- Real-time Data Processing
- Kafka for Stream Processing
- Stream Analytics
- Introduction to Big Data Platforms
- Ethics and Data Governance
- Data Privacy and Security Measures
- Ethical AI Practices
- Data Governance Frameworks
- Advanced Topics and Trends
- The Role of Data Science in AI
- Emerging Technologies and Their Impact
- Case Studies in Data Science Across Industries
Data Science
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