Clean Data Data Analysis Data Analyst Exploratory Data Analysis 
Pickl AI
FEBRUARY 27, 2023
A data analyst deals with a vast amount of information daily. Continuously working with data can sometimes lead to a mistake. In this article, we will be exploring 10 such common mistakes that every data analyst makes. However, many data scientist fail to focus on this aspect.
Dataconomy
AUGUST 16, 2023
” The answer: they craft predictive models that illuminate the future ( Image credit ) Data collection and cleaning : Data scientists kick off their journey by embarking on a digital excavation, unearthing raw data from the digital landscape. At the heart of the question, “What does a data scientist do?”
Pickl AI
JULY 20, 2023
Here are some project ideas suitable for students interested in big data analytics with Python: 1. Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA).
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