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Series
In this series, you get involved in 30 Days of internship
Day 1 for Aspiring Data Scientist: Introduction to Data Science and Python Setup Objective: Kick off your data science journey by understanding the basics of data science and setting up Python, your primary tool for data manipulation and analysis. ...
Day 2 for Aspiring Data Scientist: Data Exploration with Pandas Objective: Get hands-on experience with Pandas, a popular Python library for data manipulation and analysis. Today’s focus will be on understanding how to explore and manipulate data us...
Day 3 for Aspiring Data Scientist: Data Cleaning and Preprocessing with Pandas Objective: Master the art of data cleaning and preprocessing using Pandas. Today’s focus will be on handling missing data, outliers, and applying transformations that pre...
Day 4 for Aspiring Data Scientist: Introduction to Machine Learning with Scikit-Learn Objective: Learn the basics of machine learning and how to implement simple algorithms using Scikit-Learn. Today’s focus will be on supervised learning and buildin...
Day 5 for Aspiring Data Scientist: Data Preprocessing with Pandas Objective: Learn how to preprocess data using Pandas, a powerful Python library for data manipulation. Today’s focus will be on cleaning, transforming, and preparing datasets for anal...
Day 6 for Aspiring Data Scientist: Introduction to Exploratory Data Analysis (EDA) Objective: Understand the concept of Exploratory Data Analysis (EDA) and learn how to explore datasets, uncover patterns, and extract insights using Python libraries ...