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Data Science Career FAQs Answered: Educational Background

Mlearning.ai

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA).

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

Pickl AI

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Following is a guide that can help you understand the types of projects and the projects involved with Python and Business Analytics. Here are some project ideas suitable for students interested in big data analytics with Python: 1. Movie Recommendation System: Use Python and collaborative filtering techniques (e.g., ImageNet).