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Data Science Tutorial

43 topics · Free · Certificate on completion

Learn Data Science — from data collection and cleaning to modelling, visualisation and deployment.

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What you'll learn

01.What is Data Science?02.Data Science Workflow 03.Types of Data 04.Data Collection 05.Data Cleaning 06.Exploratory Data Analysis (EDA)07.NumPy Basics 08.pandas Basics 09.Reading & Writing Data 10.Filtering & Sorting 11.GroupBy & Aggregation 12.Merging & Joining 13.Handling Missing Values 14.Data Visualization (matplotlib)15.Seaborn Basics 16.Descriptive Statistics 17.Probability Basics 18.Common Distributions 19.Hypothesis Testing 20.Correlation vs Causation 21.Sampling & Bias 22.Feature Engineering 23.Intro to Machine Learning 24.Regression vs Classification 25.Train / Test Split 26.Model Evaluation 27.Cross-Validation 28.Overfitting & Underfitting 29.Linear Regression 30.Logistic Regression 31.Decision Trees 32.Random Forest 33.Clustering with K-Means 34.Dimensionality Reduction (PCA)35.Time Series Basics 36.Intro to NLP 37.Intro to Deep Learning 38.Data Storytelling 39.Dashboards & BI Tools 40.SQL for Data Science 41.Model Deployment 42.Ethics & Privacy 43.Data Science Career