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Discover

5 Cheat Sheets to Master Data Science in 6 months

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Week 1 & 2

Python Programming Basics

Extensive libraries for data manipulation, analysis, and visualization

Understanding the basics of essential libraries like NumPY, Pandas, etc.

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Week 3 & 4

Learning Exploratory Data Analysis (EDA)

Understanding different techniques to handle missing data

Visualization tools like Matplotlib, Seaborn, etc.

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Week 5 & 6

Understanding basics of Supervised & Unsupervised Learning

Different Model Evaluation Techniques

Overview of Algorithms like Decision Trees, Linear Regression, Clustering, etc.

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Week 7 to 10

Learning Neural Networks and Deep Learning

Feature engineering and model optimization

Time-series analysis and Natural Language Processing(NLP)

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Week 11 to 24

Working on real-world projects

Collaborating on GitHub and participating in Kaggle Competitions

Building a strong portfolio for job readiness

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Discover the Top Job Opportunity Ideal for Beginners