Getting started with data science
October 20, 2025Learn: What data science is and what data scientists actually do, common project types, data cleaning and analysis, how to create browser native visualizations....
Explore a collection of articles covering topics on data science. Each post shares insights, tutorials, and development updates to help you learn and stay inspired.
Learn: What data science is and what data scientists actually do, common project types, data cleaning and analysis, how to create browser native visualizations....
Learn: Python syntax & data types, loops, functions, Jupyter Notebook and VS Code, Python Libraries: numpy, pandas, matplotlib...
Learn: Data cleaning & manipulation using Python and pandas library....
Learn data visualization in Python with Matplotlib or Seaborn and understand how to tell a story with charts....
Learn the basis of statistics and probability, events, distributions, correlation vs causation....
Learn Machine Learning, Supervised Learning, Unsupervised Learning, Train-Test Split, Evaluation Metrics: accuracy, precision and recall....
Learn Supervised Learning, linear regression, logistic regression, decision trees, random forests, k-nearest neighbors, support vector machines and their use ca...
Learn Unsupervised Learning, K-Means Clustering, Dimensionality Reduction (PCA) and their use cases with Python examples....
Learn Cross-Validation, Hyperparameter Tuning (GridSearchCV), Overfitting and Underfitting....
Learn Feature Engineering, Scaling Data, Encoding Categorical Data, Transforming Data, Selecting Important Features with Python examples....
Learn Deep Learning, Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transfer Learning with Python examples....
Learn Natural Language Processing (NLP), Tokenization, Word Embeddings, Sentiment Analysis, Text Classification with Python examples....
Learn Data Engineering Basics, Databases, Big Data Tools, Cloud Services....
Learn How to deploy a model, Building APIs with Flask or FastAPI, Deploying Models with Streamlit, Saving and Loading Models with Joblib with Python examples....
Learn MLOps, Versioning Data and Models, Monitoring Deployed Models, Automation Pipelines....