Skills You’ll Learn
Class introduction
I know big data is important these days,
Wondering where to start?
Want to know who the data talent your company is looking for?
Hello, I'm Desanam, a man who loves data.
This is a corporate big data planning practice class taught directly by a data consultant from global management consulting. Focusing on experiences and lessons learned through projects with various clients Topics that companies are actually concerned aboutThe course was organized around the audience. I planned this class to be of great help to students who have no choice but to experience the theory of big data through books or certification studies, or office workers who dream of changing jobs to data-related jobs. Customer analysis, market indicator forecasting, data governance strategies, Understanding data jobs We have prepared classes with interesting topics such as. I'll teach you in detail, focusing on the basics and practices, so that even those just starting out can easily follow along.
Classes to develop big data planning skills
With a total of 4 chapters, this is a class where you can develop a practical sense of what problems companies are concerned about.
Course effect
Students or office workers who are interested in big data jobs can develop a practical sense of big data challenges.
You can easily identify the big data-related issues that each industry group considers important and the main concerns of companies.
We check the competencies required for each job related to big data and present a roadmap to prepare for them.
Recommended target
Job-seekers or office workers who are interested in big data jobs
Those who are interested in how to plan big data projects and derive them
Those who want to grow into data professionals in companies
Related workers (marketers, PMs, etc.) who want to analyze customer behavior with big data
What makes this class special
❶ Experience big data projects that can't be obtained through books
In order to derive and plan big data issues that companies are actually concerned about and grow into experts who can actually create business value, it is necessary to experience various projects carried out by companies. However, in reality, it's not easy to get an experience unless you're working in a relevant job. Through this class, you can learn what topics companies are interested in and what preparations we should make to solve them.
❷ Develop the competencies required to specialize in data jobs
There are also various jobs in the data field.
It is a course that can provide strong motivation for job-ready students and office workers who dream of changing jobs by identifying what kind of data jobs are in companies and examining the core competencies required and skills to be prepared for each job at the entire process stage of collecting, refining, analyzing, visualizing, and utilizing data.
❸ Develop a sense of theory and practice through case studies
Rather than communicating theories related to big data analysis, in a company How to actually apply the analysis resultsEach chapter tells a vivid story of the scene through a case study on how to do it. Through this, classmates can understand the true meaning and value of big data analysis, and grow into talented people loved by companies with theoretical knowledge and practical sense.
Curriculum
Creator
데사남
I am a 10-year general employee currently in charge of data analysis and strategy formulation in industries such as distribution, manufacturing, chemicals, games, and e-commerce at a management consulting company. After working for a large distribution and logistics company, I majored in a master's degree in Business Analytics overseas, and I am currently listening to the grievances of companies related to data from various customer groups and industry groups at a global management consulting firm and considering and resolving them through projects. I wanted to share my own know-how and enlightenment during this process with those who haven't experienced the big data world yet but are interested. It's important to learn concepts from books or theory alone, but I'm convinced that if you prepare with indirect experience of what companies think about and what kind of data talent they want, you can win (fight for victory) during the preparation process. We will reward many people with a full course so that they can be helpful.