• Introduction to data analysis
• Data types and structures
• Statistical concepts
• Python programming
• Data manipulation with Pandas processes
• Data visualization with Matplotlib
• Exploratory Data Analysis (EDA)
• Statistical modeling
• Machine learning techniques
• Introduction to Big Data
• Hadoop and Spark
• Business Intelligence Tools
• Data Mining Techniques
• Case Studies in Data Analysis
• Time series analysis
• Natural language processing
• Deep learning
• Data quality and integrity
• Data privacy and security
• Ethical considerations in data analysis
• Advanced data visualization techniques
• Creating compelling data stories
• Data visualization best practices
• Leveraging data for decision making
• Data-driven problem-solving
• Key performance indicators and metrics
• Data analysis on a real-world project
• Project planning and execution
• Insights and recommendations on Data
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