Data Analytics & Data Science
About This Course
Data has become one of the most valuable strategic assets for organizations across all industries. However, without the ability to analyze, interpret, and transform data into actionable insights, organizations often miss opportunities, make ineffective decisions, and lose competitive advantage.
The Data Analytics & Data Science program provides participants with a practical and hands-on foundation in data analysis, data visualization, statistical thinking, and introductory machine learning concepts. The program covers the full analytics lifecycle including data collection, cleaning, preparation, exploration, analysis, visualization, and predictive modeling using tools such as Excel, SQL, Python, Power BI, and visualization platforms. Participants learn how to convert raw data into meaningful insights that support data-driven business decisions and strategic planning.
Learning Objectives
Target Audience
- Data analysts and aspiring data professionals
- Business and operations professionals working with data
- IT and technical professionals interested in analytics
- Managers seeking data-driven decision-making capabilities
- Professionals transitioning into analytics or data science roles
- Business intelligence and reporting professionals
- Individuals interested in machine learning and predictive analytics
- Anyone seeking practical analytics and data interpretation skills
Curriculum
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