Overview
Curriculum
Data import and export are processes that involve transferring data between different systems or formats. Data import is the process of bringing data into a data analysis tool or platform from an external source, such as a database, file, or web service. Data export, on the other hand, involves transferring data from the analysis tool to another destination, such as a file, database, or web service. Data import and export play a critical role in data wrangling because they enable data analysts to access and integrate data from various sources and prepare it for analysis. By importing data into a data analysis tool, analysts can combine data from different sources, perform transformations, and clean the data to remove inconsistencies, errors, and missing values.
Courses you might be interested in
This module is designed to equip us with the foundational programming knowledge and theory needed to excel in the bootcamp. By covering essential Python concepts and tools, it helps us...
-
12 Lessons
$100.00
In this module, you will explore the world of large language models (LLMs), including their components, how they process information, and the challenges of adopting them in enterprise settings. You...
-
7 Lessons
$100.00
In this module, you will explore key concepts of transformer architecture, embeddings, attention mechanisms, and tokenization. You’ll gain a deeper understanding of semantic similarity and how it is calculated using...
-
5 Lessons
$100.00
In this module, you will explore the fundamentals of prompt engineering, including key concepts like in-context learning, designing effective prompts, and using various prompting techniques. You will learn how to...
-
12 Lessons
$100.00