About the class

💻 This course performs data analysis planning, data analysis, and data visualization tasks based on basic knowledge of data understanding and processing techniques, and through this Develop professionals who perform tasks that support scientific decision-making, such as process innovation and marketing strategy decisionsIt's a process of doing it.

❶ Writing notes

Learn a sense of actual ADP handwriting by solving ADP handwriting notes.

❷ Practical skills

Define analytical goals by identifying various analytical opportunities based on internal business processes to achieve business goals. By deriving analysis targets and defining scenarios for utilizing analysis results, big data that systematizes and refines analysis tasks can be defined, analysis project roadmaps can be established, and performance management can be performed.

Requirements for analysis are specifically derived, analysis processes are designed, and requirements are defined, modeled, validated, tested, and applied by agreeing requirements with practitioners. You can also experience visualization planning, modeling, design, construction, deployment, and maintenance to define what type of visualization model is appropriate for visualization and develop scenarios by analyzing the information structure of what elements should be visualized for various data.

❸ Core summary

Review the theory on data analysis learned earlier by pointing out only the core points, and improve your skills by solving related problems.

Course effect

• You can analyze data, plan, perform visualization tasks, and carry out data analysis projects.
• You can learn a sense of practice by solving various practical problems and answers.

Recommended target

• Those who want to work in the field of data analysis and related fields
• Those who aim to obtain ADP (AdSP) qualifications