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All LessonsFree Lessons (6)

What is Data Science

The Buzzword "Data Science"Data Science Lifecycle Python for Data Science

Python Basics

Hello World Variables and Data Types Operators Conditional Statements Functions Lists Loops Packages and Modules Exercise: Average of a List Solution Review: Average of a List Exercise: Factorial of a Number Solution Review: Factorial of a Number

Handling Tabular Data in Python

Importing Data in CSV Files with Pandas Indexing and Selection Filtering Data Applying Functions to Data Aggregating Data Grouping Data Pivot Tables Plotting Data 1: Univariate Plots Plotting Data 2: Bivariate Plots Test Your Knowledge

Data Cleaning

Introduction to Data Cleaning Data Types Missing Values Duplicates Inconsistent Data Outliers Outlier Detection and Removal Exercise: Cleaning NYC Property Sales Solution Review: Cleaning NYC Property Sales

Exploratory Data Analysis

Introduction Analyzing Individual Quantities Exploring Categorical Quantities Exploring Numerical Quantities Correlation and Heatmaps Exercise: Exploring E-Commerce Solution Review: Exploring E-Commerce Business Example: RFM Analysis in Python

Statistical Inference

The Basics of Statistical Inference Confidence Intervals Hypothesis Testing One Sample t-Test Two Sample t-Test Paired t-Test

Predictive Models

A Simple Model Model Fitting on a Loss Function Gradient Descent Optimization with Gradient Descent Simple Linear Regression Multiple Linear Regression Evaluating Regression Models Logistic Regression Evaluating Logistic Regression Models Exercise: Churn Prediction Solution Review: Churn Prediction

Machine Learning

Why Machine Learning

Machine Learning Pipeline

Support Vector Machines

Ensembles: Bagging vs Boosting

Clustering for Unsupervised Learning

K-Means on Two-Dimensional Data

K-Means on n-Dimensional Data

Test your Knowledge

Data Science for Non-Programmers/

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Conclusion

Conclusion

This lesson gives an ending note.

We'll cover the following...

- Where to go from here?

Congratulations! You have completed this introductory course on Data Science. You are now familiar with the Data Science lifecycle and are ready to enter into the world of Data Scientists.

Where to go from here?

Since you have now completed the introductory course, you need to start putting this knowledge to use and go towards learning advanced concepts. If you are a student, ...