Enroll Course: https://www.coursera.org/learn/mempersiapkan-data-untuk-eksplorasi
The world of data analytics is vast and exciting, and a strong foundation in preparing data is crucial for any aspiring data analyst. Coursera’s ‘Mempersiapkan Data untuk Eksplorasi’ (Preparing Data for Exploration), the third course in the Google Data Analytics Certificate program, is designed to equip you with precisely these essential skills.
This course serves as a vital stepping stone, building upon the knowledge gained in the previous modules. It doesn’t just introduce theoretical concepts; it dives deep into practical applications, ensuring you’re job-ready for entry-level data analyst positions. The curriculum is thoughtfully structured to cover a comprehensive range of topics, from the fundamental types and structures of data to the critical aspects of bias, credibility, privacy, and ethics.
One of the standout sections is ‘Tipe dan struktur data’ (Data Types and Structures). Here, you’ll explore how data is generated daily and learn the analytical thinking process behind selecting relevant data for analysis. Understanding structured versus unstructured data, various data types, and data formats is fundamental, and this module lays that groundwork effectively.
The course also tackles the crucial ‘Bias, kredibilitas, privasi, etika, dan akses’ (Bias, Credibility, Privacy, Ethics, and Access). In data analysis, ensuring data integrity is paramount. This section teaches you how to identify different types of bias, ensure data credibility, and delve into the important relationship between data ethics, privacy, and the concept of open data.
Furthermore, ‘Database: Tempat data berada’ (Databases: Where Data Lives) is an indispensable module. You’ll learn how to navigate databases, a common source for data analysis, and master the techniques for extracting, filtering, and sorting information. The exploration of metadata and its role in understanding data types is also covered.
Organization and security are not overlooked. The ‘Mengatur dan melindungi data’ (Organizing and Protecting Data) module emphasizes best practices for data organization and security, including the use of file naming conventions to maintain a structured workflow.
An optional, but highly recommended, section on ‘Menjalin hubungan dengan komunitas data’ (Connecting with the Data Community) guides you on building a strong online presence and the benefits of networking with professional data analysts.
The ‘Ujian Materi’ (Course Exam) is a comprehensive assessment that tests your understanding of data collection, ethics, privacy, and bias. You’ll get hands-on experience with spreadsheets and SQL functions, practicing filtering and sorting, and demonstrating your knowledge of best practices for securing and organizing data.
Overall, ‘Mempersiapkan Data untuk Eksplorasi’ is an excellent course for anyone looking to build a solid foundation in data preparation. Its practical approach, comprehensive syllabus, and focus on job-readiness make it a highly recommended course for aspiring data analysts. It provides the essential skills and knowledge needed to confidently step into the data analytics field.
Enroll Course: https://www.coursera.org/learn/mempersiapkan-data-untuk-eksplorasi