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40 Must-Know Data Science Skills and Frameworks for 2023

ODSC - Open Data Science

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. Research Why should a data scientist need to have research skills, even outside of academia you ask?

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How to get Data Analyst Job as a Fresher?

Pickl AI

Data Analysis is the process of collecting, cleaning, transforming, and modeling data to extract useful information and insights. In today’s data-driven world, data analysis has become an essential skill for organizations across industries to make informed decisions and improve business outcomes.

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A Comprehensive Guide to Business Intelligence Analysts

Pickl AI

Here’s a glimpse into their typical activities Data Acquisition and Cleansing Collecting data from diverse sources, including databases, spreadsheets, and cloud platforms. Ensuring data accuracy and consistency through cleansing and validation processes. Developing data models to support analysis and reporting.

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From zero to BI hero: Launching your business intelligence career

Dataconomy

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

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From zero to BI hero: Launching your business intelligence career

Dataconomy

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

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Meet the winners of the Pale Blue Dot challenge

DrivenData Labs

QGIS, Microsoft's Power BI, Tableau, and Jupyter notebooks also facilitated many interesting visualizations, particularly for solvers with less programming experience. Many participants used beginner-friendly online interfaces, like NASA Worldview and Giovanni , to explore and manipulate data.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

At the core of Data Science lies the art of transforming raw data into actionable information that can guide strategic decisions. Role of Data Scientists Data Scientists are the architects of data analysis. They clean and preprocess the data to remove inconsistencies and ensure its quality.