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Business Analytics vs Data Science: Which One Is Right for You?

Pickl AI

Business Analytics requires business acumen; Data Science demands technical expertise in coding and ML. Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Both fields offer roles across industries like finance, retail, and healthcare.

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Best Resources for Kids to learn Data Science with Python

Pickl AI

Proficiency in ML is understood when these are not just present in the aspirant in conceptual ways but also in terms of its applications in solving business problems. Tools such as Matplotlib, Seaborn, and Tableau may help you in creating useful visualisations that make challenging data more readily available and understandable to others.

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Data Science in Healthcare: Advantages and Applications?—?NIX United

Mlearning.ai

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Top Big Data Tools Every Data Professional Should Know

Pickl AI

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Machine Learning Integration : Built-in ML capabilities streamline model development and deployment.