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

Pickl AI

Programming languages like Python and R are commonly used for data manipulation, visualization, and statistical modeling. Machine learning algorithms play a central role in building predictive models and enabling systems to learn from data. Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently.

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

Pickl AI

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 Modeling: Entity-Relationship (ER) diagrams, data normalization, etc.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

When working on these projects, students should focus on understanding the principles of big data analytics, data preprocessing, machine learning, and data visualization using Python libraries. If you want to opt for a career as a Data Analyst , Pickl.AI’s Data Science course can help you with the same.