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Data Analysis vs. Data Visualization – More Than Just Pretty Charts

Pickl AI

Modeling & Algorithms: Applying statistical models (like regression, classification, clustering) or Machine Learning algorithms to identify deeper patterns, make predictions, or classify data points. Collect Data: Gather customer demographics, purchase history, website interaction logs, customer support tickets, and subscription status.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Data Scientists use various techniques, including Machine Learning , Statistical Modelling, and Data Visualisation, to transform raw data into actionable knowledge. Importance of Data Science Data Science is crucial in decision-making and business intelligence across various industries.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

The following figure represents the life cycle of data science. It starts with gathering the business requirements and relevant data. Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. How do you clean the data?