Data Science Dojo

MAY 10, 2023

Machine learning and data mining – A deep understanding of machine learning algorithms and data mining techniques equips professionals to develop predictive models, identify patterns, and derive actionable insights from diverse datasets.

Data Science 298

Data Science Data Scientist Database Administration Machine Learning 298

Smart Data Collective

NOVEMBER 12, 2022

As a data analyst, you will learn several technical skills that data analysts need to be successful, including: Programming skills. Data visualization capability. Data Mining skills. Data wrangling ability. Machine learning knowledge.

Data Analyst 143

Data Analyst Data Analysis Data Analysis Data Wrangling 143

IBM Journey to AI blog

SEPTEMBER 19, 2023

The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data. They may also use tools such as Excel to sort, calculate and visualize data.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

NOVEMBER 4, 2024

They introduce two primary data structures, Series and Data Frames, which facilitate handling structured data seamlessly. With Pandas, you can easily clean, transform, and analyse data. Use cases include visualising distributions, relationships, and categorical data, effortlessly enhancing the aesthetics of your plots.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 5, 2024

Become A Data Scientist Specialisation by LinkedIn Learning LinkedIn Learning’s Become A Data Scientist Specialisation provides a well-rounded curriculum with a one-month free trial. Key Features 17-Hour Content : Covers Data Science essentials, statistics, and governance.

Data Science 52

Data Science Machine Learning Machine Learning Python 52