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Watch Our Top Virtual Sessions from ODSC West 2023 Here

ODSC - Open Data Science

Data Wrangling with Python Sheamus McGovern | CEO at ODSC | Software Architect, Data Engineer, and AI Expert Data wrangling is the cornerstone of any data-driven project, and Python stands as one of the most powerful tools in this domain. Interested in attending an ODSC event?

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How To Learn Python For Data Science?

Pickl AI

Statistics Understand descriptive statistics (mean, median, mode) and inferential statistics (hypothesis testing, confidence intervals). These concepts help you analyse and interpret data effectively. They introduce two primary data structures, Series and Data Frames, which facilitate handling structured data seamlessly.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Students should understand the concepts of event-driven architecture and stream processing. Once data is collected, it needs to be stored efficiently.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

D Data Mining : The process of discovering patterns, insights, and knowledge from large datasets using various techniques such as classification, clustering, and association rule learning. Data Wrangling: The cleaning, transforming, and structuring of raw data into a format suitable for analysis.