Fundamentals of Data Science - Data Science for Non-Programmers

Data Science for Non-Programmers

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1.What is Data Science

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

2.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

3.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

4.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

5.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

6.Statistical Inference

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

7.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

8.Machine Learning

Why Machine Learning Machine Learning Pipeline Decision Trees Random Forests 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 Conclusion

Project

How to Predict the Traffic Volume Using Machine Learning

Mock Interview

Fundamentals of Data Science