Enroll Course: https://www.coursera.org/learn/data-preparation-japanese
In the ever-evolving field of data analytics, having the right skills is crucial for success. One course that stands out in this regard is ‘3. 探索用データを準備する’, part of the Google Data Analytics Professional Certificate program on Coursera. This course is designed to deepen your understanding of the topics covered in the first two courses while introducing practical skills that are essential for any aspiring data analyst.
The course begins with an exploration of the types and structures of data. It emphasizes how we generate data in our daily lives and how data analysts determine what data to collect for analysis. You will learn about structured and unstructured data, data types, and formats, which are foundational concepts in data analytics.
One of the highlights of this course is its focus on bias, reliability, privacy, ethics, and accessibility in data handling. Understanding how to identify various types of bias in data and ensuring its reliability is paramount for any data analyst. The course also delves into the relationship between open data, data ethics, and data privacy, which is increasingly important in today’s data-driven world.
The course further covers databases, teaching you how to access data stored in databases, extract, filter, and sort data. This knowledge is vital as most data analysis tasks involve working with databases. Additionally, you will learn about metadata and how data analysts utilize it effectively.
Organizing and protecting data is another critical aspect covered in this course. You will discover best practices for data organization and safe storage, which are essential skills for any data analyst. The course also discusses how data analysts use naming conventions to keep their tasks organized.
Moreover, the course encourages participants to enhance their online presence and network with other data analytics professionals. This is a valuable aspect for job seekers in the field, as building a professional network can open doors to new opportunities.
Finally, the course includes a challenge that allows you to test your knowledge on data collection, ethics, bias, and practical applications using spreadsheets and SQL functions. This hands-on approach ensures that you not only learn the theory but also apply it in real-world scenarios.
In conclusion, ‘3. 探索用データを準備する’ is an excellent course for anyone looking to build a solid foundation in data analytics. With no prior experience required, it is accessible to beginners and provides the necessary skills to apply for entry-level data analyst positions. I highly recommend this course to anyone interested in pursuing a career in data analytics.
Enroll Course: https://www.coursera.org/learn/data-preparation-japanese