Understanding how to deal with data is becoming a required skill in the information age. This course will teach you how to do exploratory data analysis and leverage relevant AWS services.

In this course, master Exploratory Data Analysis (EDA) using Python. Dive deep into complex data sets, extract insights, and elevate your data science proficiency.

Dive into Exploratory Data Analysis (EDA) using Python. Learn the core EDA techniques for cleaning, visualizing, and summarizing data, and gain practical experience with Python libraries like Pandas, Matplotlib, and Seaborn.

Learn how to perform exploratory data analysis with R to complete day-to-day developer tasks.

This module describes how administrators can activate Windows clients at scale and use Group Policy and PowerShell to apply configuration settings to groups of Windows clients.

This module explores additional tools used to provide additional layers of security within an organization.

This course will give you an understanding on how to source input data of varied formats coming from different logistics departments and export the same for different departments for end usage using the In/Out Section within Alteryx.

Data exploration and analysis is at the core of data science. Data scientists require skills in programming languages like Python to explore, visualize, and manipulate data.

In this module, you explore, analyze, and visualize data by using the R programming language.

Throughout this learning path you explore and configure the Azure Machine Learning workspace. Learn how you can create a workspace and what you can do with it. Explore the various developer tools you can use to interact with the workspace. Configure the workspace for machine learning workloads by creating data assets and compute resources.

Explore the various language models that are available through the Azure AI Studio's model catalog. Understand how to select, deploy, and test a model, and to improve its performance.

Learn how the API Management service functions, how to transform and secure APIs, and how to create a backend API.