Enroll Course: https://www.coursera.org/learn/data-preparation-japanese
Data analytics is increasingly becoming an essential skill in today’s data-driven world, and Coursera has partnered with Google to offer a comprehensive series of courses aimed at equipping learners with the necessary tools and knowledge. The third course, titled 3. 探索用データを準備する, is an integral part of the Google Data Analytics Professional Certificate program. This course continues to build upon the foundational skills taught in the first two courses while introducing new concepts that enhance practical data analytics skills.
In this course, learners dive deeper into the practical use of tools like spreadsheets and SQL to extract relevant data, organize it, and ensure its integrity. The course adopts a hands-on approach, where current Google Data Analysts share their expertise, showcasing effective methods for executing common analytics tasks.
The course is structured into a few significant modules:
- Types and Structure of Data: This section explores 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, various data types, and data formats, preparing you to analyze this data effectively.
- Bias, Reliability, Privacy, Ethics, and Accessibility: Understanding the importance of data integrity is critical. This module teaches you to identify various biases present in data and ensure its reliability. Additionally, you learn about open data, data ethics, and the significance of data privacy.
- Databases: Where Data Lives: Accessing data from databases is a fundamental aspect of data analytics. This part covers everything you need to know about databases, including how to access them, extract data, apply filters, and sort data. You will also explore various types of metadata and their applications in analytics.
- Data Organization and Protection: Effective organizational skills play a crucial role in data analytics. Here, you will learn best practices for organizing and securely storing data, as well as the importance of naming conventions for files.
- Optional: Joining Data Communities: Building an online presence is a significant advantage for job seekers. This part explores methods to enhance your online visibility and the benefits of networking with industry professionals.
The course culminates in a challenging assessment, where learners can put their knowledge of data collection, ethics, privacy, and bias to the test through practical exercises. Expect to engage with spreadsheets and SQL functions, focusing on data protection and organization best practices.
Completing this course will not only enhance your understanding of data preparation but also prepare you to apply for entry-level data analyst positions without requiring previous job experience.
If you are eager to enhance your analytical skillset and open doors to a career in data analytics, I highly recommend participating in this course. With its practical focus and expert guidance, 3. 探索用データを準備する is a fantastic stepping stone in your data analytics journey!
Enroll Course: https://www.coursera.org/learn/data-preparation-japanese