This specialization is intended for data analysts looking to expand their toolbox for working with data. Traditionally, data analysts have used tools like relational databases, CSV files, and SQL programming, among others, to perform their daily workflows. In this specialization, you will leverage existing skills to learn new ones that will allow you to utilize advanced technologies not traditionally linked to this role - technologies like Databricks and Apache Spark. By the end of this specialization, you'll be able to solve real-world business problems with Databricks and the most popular machine learning techniques.
WHAT YOU WILL LEARN
Coursera
Discover the essential building blocks of data science and unlock a world of opportunities with our beginner-friendly course. In just 15 hours, you'll learn directly from top data scientists, equipping yourself with the skills needed to tackle real-world problems and advance your career in data analysis.
Coursera
Unlock the power of Apache Spark SQL with this comprehensive course designed for data analysts. Gain expertise in using Spark SQL to analyze large datasets and learn how to implement Delta Lake for enhanced reliability in your data lake solutions. This course will equip you with the skills needed to efficiently ingest, transform, and query data, enabling you to extract valuable insights.
Coursera
Embark on a journey into practical data analysis with 'Applied Data Science for Data Analysts' on Coursera. This comprehensive course equips you with the essential tools and strategies to tackle real-world challenges in data science. From exploring datasets through unsupervised learning techniques to refining models using tree-based algorithms, this program is tailored for those looking to deepen their understanding of data analysis and improve model performance.