Learn Data Science step-by-step  Topics of Data Science Introduction to Data Science What is Data Science? Brief History of Data Science Applications of Data Science Data Science Process Data Collection and Cleaning Data Collection Methods Data Quality Assessment Data Cleaning Techniques Outlier Detection Data Exploration and Visualization Data Exploration Techniques Descriptive Statistics Data Visualization Tools Exploratory Data Analysis Probability and Statistics Probability Basics Random Variables and Probability Distributions Statistical Inference (Hypothesis Testing, Confidence Intervals) Regression Analysis Machine Learning What is Machine Learning? Types of Machine Learning (Supervised, Unsupervised, Reinforcement) Regression (Linear, Logistic) Decision Trees and Random Forests Neural Networks (Perceptron, MLP, CNN, RNN) Data Preparation and Feature Engineering Data Preprocessing Techniques Feature Engineering Techniques Feature Selection Techniques Dimensionality Reduction Tec