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The Evolving Role of the Modern Data Practitioner

ODSC - Open Data Science

In the ever-expanding world of data science, the landscape has changed dramatically over the past two decades. Once defined by statistical models and SQL queries, todays data practitioners must navigate a dynamic ecosystem that includes cloud computing, software engineering best practices, and the rise of generative AI.

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15 Fan-Favorite Speakers & Instructors Returning for ODSC East 2025

ODSC - Open Data Science

Allen Downey, PhD, Principal Data Scientist at PyMCLabs Allen is the author of several booksincluding Think Python, Think Bayes, and Probably Overthinking Itand a blog about data science and Bayesian statistics. in computer science from the University of California, Berkeley; and Bachelors and Masters degrees fromMIT.

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Discover Interoperability between Python, MATLAB and R Languages

Pickl AI

Summary: This article discusses the interoperability of Python, MATLAB, and R, emphasising their unique strengths in Data Science, Engineering, and Statistical Analysis. It highlights the importance of combining these languages for efficient workflows while addressing challenges such as data compatibility and performance bottlenecks.

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.

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Strategies for Transitioning Your Career from Data Analyst to Data Scientist–2024

Pickl AI

Data Analyst to Data Scientist: Level-up Your Data Science Career The ever-evolving field of Data Science is witnessing an explosion of data volume and complexity. Frequently Asked Questions As a Data Analyst, how can I start building my skills for Data Science architecture?

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Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

Technical Proficiency Data Science interviews typically evaluate candidates on a myriad of technical skills spanning programming languages, statistical analysis, Machine Learning algorithms, and data manipulation techniques. What is the Central Limit Theorem, and why is it important in statistics?