#DataScience
16 articles tagged with #DataScience
Learn Pandas by Analyzing Virat Kohli's Career Stats
A comprehensive guide to learn pandas by analyzing virat kohli's career stats — written for learners at every level.
Data Analytics Roadmap for Beginners in 2026
Step-by-step roadmap to become a data analyst from scratch — no prior experience needed.
Data Science vs Data Analytics vs Data Engineering
A comprehensive guide to data science vs data analytics vs data engineering — written for learners at every level.
How to Become a Data Analyst From Scratch
A comprehensive guide to how to become a data analyst from scratch — written for learners at every level.
Top 10 Data Science Projects for Your Portfolio
A comprehensive guide to top 10 data science projects for your portfolio — written for learners at every level.
Pandas for Beginners: A Complete Tutorial
A comprehensive guide to pandas for beginners: a complete tutorial — written for learners at every level.
SQL Tutorial for Beginners with Examples
Master SQL with simple examples and real-world queries. Perfect for aspiring data analysts.
How a Teacher Switched to Data Analytics in 8 Months
A comprehensive guide to how a teacher switched to data analytics in 8 months — written for learners at every level.
Learn Python Through Cricket Statistics
Cricket generates rich data — runs, wickets, overs, strike rates, economy rates. This project uses real IPL-style match data to teach you pandas, matplotlib, and data analysis in a context that actually interests you. No dry tutorials — just cricket and code.
From Cricket Fan to Python Developer: An Illustrative Learning Journey
This is a composite illustrative journey — based on the real paths taken by many self- taught developers — showing how a passionate cricket fan used IPL data to learn Python, pandas, and data visualisation, and landed a data analyst role in 8 months.
From Teacher to Data Analyst: An Illustrative 8-Month Transition
This composite illustrative story follows how a secondary school maths teacher used her existing analytical skills to transition into a data analyst role — starting with Excel, moving to SQL and Python, and landing her first data role in 8 months.
NumPy for Data Science: Arrays and Vectorisation
NumPy is the foundation of Python's scientific computing stack. This guide covers ndarrays, vectorised operations, broadcasting, linear algebra, and why NumPy is 10-100x faster than equivalent Python loops — with practical examples for data science work.
Learn Data Science Through Bollywood Box Office Analytics
Bollywood produces hundreds of films a year and generates rich box office data. This project uses real film data to teach pandas groupby, matplotlib charting, correlation analysis, and time-series trends in a context that film fans genuinely find interesting.
SQL Tutorial for Beginners: With Real Examples
SQL is the language of data — used by data analysts, backend developers, and data scientists every day. This tutorial covers SELECT, WHERE, ORDER BY, GROUP BY, HAVING, JOINs, subqueries, and window functions with real examples you can run immediately.
Matplotlib and Seaborn: Data Visualisation in Python
The best data insight is worthless if no one understands the chart. This guide covers matplotlib's core API, Seaborn's statistical plots, best practices for clear design, and how to produce publication-quality figures — from first plot to polished dashboard chart.
Scikit-Learn for Beginners: Machine Learning in Python
Scikit-learn is the most widely used Python library for classical machine learning. This guide covers the fit-predict workflow, train/test splits, classification, regression, model evaluation, feature engineering, and pipelines — everything you need to build and evaluate your first ML models.