AI-Driven Data Analytics: From Statistical Models to Machine Learning, Visualization & Privacy
What you will learn
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Master data collection, cleaning, and preparation techniques using industry-standard tools and methodologies for real-world datasets
Develop proficiency in SQL and Python programming languages for data manipulation, analysis, and automation of data processing tasks
Create compelling data visualizations using Power BI and Tableau, transforming complex datasets into actionable insights and clear stories
Implement data security best practices and privacy protocols in compliance with industry regulations and ethical guidelines
Apply statistical analysis techniques including descriptive and inferential methods to extract meaningful patterns from datasets
Design and execute end-to-end data analytics projects, from requirement gathering to final presentation of insights
Build expertise in data warehousing concepts, database management, and efficient data storage strategies
Master feature engineering techniques and predictive analytics methods for advanced data analysis and modeling
Develop professional data presentation and storytelling skills for effectively communicating insights to technical and non-technical audiences
Pass the CompTIA Data+ certification exam with confidence through extensive practice tests and exam-focused curriculum coverage
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