Course in Self-Service Data Preparation. Excel, Talend and Trifacta

In today's data-centric world, the ability to manipulate and extract insights from vast datasets is crucial. The "Self-service Data Preparation. Excel, Talend and Trifacta" course offers comprehensive training on refining raw data into actionable knowledge. Participants will immerse themselves in the science of data preparation, learning to employ Excel for foundational data tasks, and advancing through Talend and Trifacta Wrangler, tools designed for more complex data environments. This training equips you with the skills to analyze datasets, articulate machine learning concepts, and transform numerical findings into compelling graphical presentations. As the course progresses, you’ll master both supervised and unsupervised learning algorithms, underpinned by Python's powerful capabilities. Ideal for those eager to navigate the intricacies of data with confidence, this online course paves the way for effective analysis and decision-making in any professional field.

To learn about the most used supervised and unsupervised learning algorithms To be able to work with supervised and unsupervised learning algorithms by using Python To be able to analyze data sets and draw conclusions from them To be able to represent the conclusions through graphics To learn Machine Learning and Deep Learning techniques.

Upon completing the "Self-service Data Preparation. Excel, Talend, and Trifacta" course, you open doors in the world of data analysis. You will master data preparation (Unit 1), Excel (Unit 2), Talend Data Preparation (Unit 3), and Trifacta Wrangler (Unit 4), key skills for roles such as Data Analyst, Data Scientist, and ETL Specialist, enhancing business intelligence and decision-making in any organization hungry for clean and well-structured data.

This course readies you to master data preparation across platforms. Delve into Excel's analysis tools, exploit Talend's data integration capabilities, and manipulate datasets with Trifacta Wrangler. Grasp and apply critical Machine Learning techniques, and deep dive into supervised/unsupervised algorithms using Python. You'll learn to analyze data, draw and present conclusions graphically, laying a solid foundation for data-driven decision-making.

Designed for professionals in data-driven fields, our course targets those eager to harness Excel, Talend, and Trifacta for effective data preparation. You'll gain skills in utilizing top supervised and unsupervised learning algorithms, exploring data sets, and drawing and presenting insightful conclusions graphically. Dive into Machine and Deep Learning techniques across four comprehensive units covering data prep to advanced wrangling.