Data Analysis

Unleash the full potential of SAS to get unique, actionable insights from your data

This course will introduce you about how to use Twitter API to do data analysis in Python. It begins explaining how to connect and get the data from Twitter API, then it demonstrates how to use a NoSQL database to store the collected data. After demonstrate how to prepare the data, it will show how to do text and network analysis using the libraries available for Python. Finally, you will learn how to present the results from the analysis in an effective way using charts.

Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery

Build high-performance, distributed, and parallel applications in Dask

Go further than a simple introduction to the concepts of Kubernetes and learn everything you need to manage your containerized workloads and services with this portable, open source platform.

Build efficient forecasting models using machine learning and neural network techniques

Master scala's advanced techniques to solve real-world problems in data analysis and gain valuable insights from your data

Analyze and visualize your data and make it speak for itself

Analyze different datasets by reducing dimensionality, clustering, analyzing, and modeling. Be confident in your models, check their viability, and present them in an interesting and interactive manner

Break down data, summarize information, and produce visually appealing plots to demonstrate powerful insights

Simplify your ETL processes with these hands-on data hygiene tips, tricks, and best practices.

A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.