IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. By analyzing datasets, data scientists can better understand their potential use in an algorithm or machine learning model.

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Pickl AI

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

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phData

DECEMBER 12, 2023

Step 2: Analyze the Data Once you have centralized your data, use a business intelligence tool like Sigma Computing , Power BI , Tableau , or another to craft analytics dashboards. It also leads to more company-wide collaboration and cuts unnecessary organizational expenses.

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ODSC - Open Data Science

JANUARY 7, 2025

Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning. Knowing all three frameworks covers the most ground for aspiring data science professionals, so you cover plenty of ground knowing thisgroup.

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Data Scientist Data Science Machine Learning Machine Learning 40