IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.

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Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.

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Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

APRIL 26, 2023

Data Analyst When people outside of data science think of those who work in data science, the title Data Analyst is what often comes up. What makes this job title unique is the “Swiss army knife” approach to data. But this doesn’t mean they’re off the hook on other programs.

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Alation

FEBRUARY 12, 2020

When eBay started its data catalog initiative, it was processing 100 petabytes of data, generating 50 terabytes of new data, and running more than seven million queries—all in a day!

Machine Learning 52

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Pickl AI

JANUARY 13, 2025

Data Analyst Data Analysts gather and interpret data to help organisations make informed decisions. They play a crucial role in shaping business strategies based on data insights. Key Skills Proficiency in data visualization tools (e.g., Experience with big data technologies (e.g.,

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JULY 24, 2023

Data Scientist Data scientists are responsible for analyzing and interpreting complex data sets to help organizations make data-driven decisions. They employ advanced statistical modeling techniques, machine learning algorithms, and data visualization tools to derive meaningful insights.

Data Science 52

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Pickl AI

APRIL 18, 2023

Here are some key tips on how to create an effective job description for your Data Science resume : Start with a Strong Title Focus on making your resume clear and concise. For example, you can use standard job titles like Data Scientist, Data Analyst or Machine Learning engineer.

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Pickl AI

DECEMBER 4, 2024

Furthermore, the demand for skilled data professionals continues to rise; searches for “data analyst” roles have doubled in recent years as companies seek to harness the power of their data. Master Data Visualization Techniques Data visualization is key to effectively communicating insights.

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Alation

JANUARY 25, 2022

These two resources can help you get started: White paper: How to Evaluate a Data Catalog. Webinar: Five Must-Haves for a Data Catalog. At its best, a data catalog should empower data analysts, scientists, and anyone curious about data with tools to explore and understand it.

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