Statistics reveal that 70% of data science projects assigned to professionals with one year of experience focus on basic analytics. These projects often involve data cleaning, exploratory data analysis, and simple predictive modeling. Only 20% of projects at this experience level delve into more complex areas such as machine learning algorithms and feature engineering. The remaining 10% are dedicated to data visualization and reporting. These numbers highlight the foundational skills that entry-level data scientists are expected to master before advancing to more sophisticated tasks.
Python Developer
@Python_Dv
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Apr 3 Become a Data Scientist in 2025!Have you ever wondered how Data Scientists turn raw data into game-changing insights? They predict trends, solve business challenges, and shape the future with AI and Machine Learning.We’ve created a step-by-step 12-month roadmap to guide
Eyo Eyo, PhD
@Eyowhite3
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Mar 5 Build a strong portfolio as a beginner in Data Science and Analytics using these projects and dataset:A thread:
Prime
@Prime_Analysis
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Apr 2 #Datafam
First project of the monthBuilt an interactive SQL & Power BI dashboard to analyze project budgets, salary costs, and department expenses. Queried data with SQL and visualized insights with Power BI#SQL #PowerBI #DataAnalytics #Dashboard #DataVisualization
Darshil | Data Engineer
@parmardarshil07
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Mar 29 6 FREE End-To-End Data Engineering Projects (2Million+ Views)Kick-start your career in Data Engineering with these projects, you will learn more than any paid courses for FREE!Spend your weekend doing these amazing projects1. IPL Data Analysis (End-To-End Apache Spark
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