Data Manipulation

Talend certification exams measure candidates’ skills to ensure that they have the knowledge to successfully implement quality projects. It is recommended to have at least 6 months experience using Talend products and general knowledge of data integration architecture and advanced features before preparing for a Talend [...]

This course will teach you how to leverage the power of Python to understand complicated supply chain datasets. Even if you are not familiar with supply chain fundamentals, the rich data sets that we will use as a canvas will help orient you with several Pythonic tools and best [...]

This course builds on the skills from the previous course and goes further into managing and manipulating data with JavaScript. You will learn methods for validating and handling data provided by users or coming from an external data source. This course includes a challenge in the form of a [...]

Dive into "Excel Essentials and Beyond", a comprehensive exploration of Excel, the world's leading spreadsheet tool. This course is thoughtfully crafted for both newcomers to Excel and also for those aiming for mastery. We begin by introducing Excel's robust interface and foundational features, ensuring a firm grasp of data [...]

In this comprehensive course, you will embark on a transformative journey to master the art of analyzing data through SQL. SQL is a powerful tool used for managing and manipulating data in relational databases. Throughout this course, you will acquire the essential skills to efficiently extract relevant data from [...]

The "Data Wrangling Project" course provides students with an opportunity to apply the knowledge gained throughout the specialization in a real-life data wrangling project of their interest. Participants will follow the data wrangling pipeline step by step, from identifying data sources to processing and integrating data, to achieve a [...]

The "Data Processing and Manipulation" course provides students with a comprehensive understanding of various data processing and manipulation concepts and tools. Participants will learn how to handle missing values, detect outliers, perform sampling and dimension reduction, apply scaling and discretization techniques, and explore data cube and pivot table operations. [...]

This course continues our gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: you want to do data analysis but don’t know programming; you know programming but aren’t too familiar with R; you know some R programming but want [...]