A full-fledged Data Science Course for Everyone. Master Stats, Maths, Python, EDA, Machine & Deep Learning in 100 Days.
What you'll learn
- Understand the foundations of data science, its applications, and the step-by-step process to become a data scientist.
- Analyze data using Python programming, from variables and data types to loops, functions, and object-oriented concepts.
- Apply statistical and probability concepts, including distributions, hypothesis testing, and inferential analysis using Python.
- Perform data cleaning, transformation, and exploratory data analysis with real-world datasets using pandas and NumPy.
- Visualize data effectively with Python, creating bar charts, histograms, scatterplots, heatmaps, box plots, and more.
- Learn essential maths and Build machine learning models for regression, classification, and clustering using scikit-learn and evaluate them properly.
- Master advanced ML techniques like cross-validation, feature engineering, regularizations, and hyper-parametertuning.
- Implement popular ensemble learning methods including Random Forest, AdaBoost, CatBoost, LightGBM, and XGBoost.
- Explore deep learning using neural networks and TensorFlow, from data preprocessing to model evaluation.
- Use real-life projects and assessments to gain hands-on experience and build a strong portfolio for the data science field.