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Exploring Different Types of Data Analysis: Methods and Applications

Pickl AI

Summary: This article explores different types of Data Analysis, including descriptive, exploratory, inferential, predictive, diagnostic, and prescriptive analysis. Introduction Data Analysis transforms raw data into valuable insights that drive informed decisions. What is Data Analysis?

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A Beginner’s Guide to Data Warehousing

Unite.AI

Agile Development: Follow an agile development methodology to incorporate changes to the data warehouse ecosystem. Cost Reduction: A data warehouse reduces operational costs by integrating data sources into a single repository, thus saving data storage space and separate infrastructure costs.

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Understanding Predictive Analytics

Pickl AI

Predictive analytics refers to the use of statistical algorithms and Machine Learning techniques to analyse historical data and predict future events or outcomes. It involves various processes, including data mining, predictive modelling, and statistical analysis.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

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.

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Top Data Analytics Skills and Platforms for 2023

ODSC - Open Data Science

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

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Enhancing Business Success: Exploring Key Analytical Capabilities

Pickl AI

It uses data mining , correlations, and statistical analyses to investigate the causes behind past outcomes. Increased Operational Efficiency Data analysis helps companies identify process inefficiencies and streamline operations, leading to significant cost savings.

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Web Scraping vs. Web Crawling: Understanding the Differences

Pickl AI

Scraping: Once the URLs are indexed, a web scraper extracts specific data fields from the relevant pages. This targeted extraction focuses on the information needed for analysis. Data Analysis: The extracted data is then structured and analysed for insights or used in applications.