Data Science Basics Course

What You'll Learn

• Master data cleaning, exploration, and visualization techniques using Python and R for actionable insights in data science projects
• Apply statistical analysis and machine learning algorithms to solve real-world problems and make data-driven decisions
• Utilize data manipulation tools like Pandas and dplyr to efficiently process large datasets for analysis and reporting
• Develop predictive models and evaluate their performance to forecast trends and support strategic planning
• Implement data storytelling skills to communicate complex findings clearly to non-technical stakeholders
• Use SQL and database management skills to extract and manage data from relational databases effectively
• Identify appropriate data science tools and libraries for various analytical tasks and project requirements
• Apply ethical principles and data privacy standards in handling sensitive information during analysis
• Design and execute end-to-end data science workflows, from data collection to model deployment
• Enhance problem-solving skills by applying data science techniques to diverse industry-specific challenges