**Data Science Master Program**

This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms. Below are the topics covered in this Data Science for Beginners tutorial video :

Introduction to Data Science

Data Analysis at Walmart

What is Data Science?

Who is a Data Scientist?

Data Science Skill Set

Data Science Job Roles

Data Life Cycle

Statistics & Probability

Categories of Data

Qualitative Data

Quantitative Data

What is Statistics?

Basic Terminologies in Statistics

Sampling Techniques

Random Sampling

Systematic Sampling

Stratified Sampling

Types of Statistics

Descriptive Statistics

Measures of Spread

Range

Inter Quartile Range

Variance

Standard Deviation

Confusion Matrix

Probability

What is Probability?

Types of Events

Probability Distribution

Probability Density Function

Normal Distribution

Standard Deviation & Curve

Central Limit Theorem

Types of Probability

Marginal Probability

Joint Probability

Conditional Probability

Use-Case

Bayes Theorem

Inferential Statistics

Hypothesis Testing

Basics of Machine Learning

Need for Machine Learning

What is Machine Learning?

Machine Learning Definitions

Machine Learning Process

Supervised Learning Algorithm

What is Regression?

Linear vs Logistic Regression

Linear Regression

Where is Linear Regression used?

Understanding Linear Regression

What is R-Square?

Logistic Regression

Logistic Regression Curve

Logistic Regression Equation

Logistic Regression Use-Cases

Demo

Implement Logistic Regression

Import Libraries

Analyzing Data

Data Wrangling

Train & Test Data

Implement Logistic Regression

SUV Data Analysis

Decision Trees

What is Classification?

Types of Classification

Decision Tree

Random Forest

Naive Bayes

KNN

What is Decision Tree?

Decision Tree Terminologies

CART Algorithm

Entropy

What is Entropy?

Random Forest

Types of Classifier

Why Random Forest?

What is Random Forest?

How Random Forest Works?

Random Forest Algorithm

K Nearest Neighbor

What is KNN Algorithm?

KNN Algorithm Working

kNN Example

What is Naive Bayes?

Bayes Theorem

Bayes Theorem Proof

Naive Bayes Working

Types of Naive Bayes

Support Vector Machine

What is SVM?

How does SVM work?

Introduction to Non-Linear SVM

SVM Example

Unsupervised Learning Algorithms – KMeans

What is Unsupervised Learning?

Unsupervised Learning: Process Flow

What is Clustering?

Types of Clustering

K-Means Clustering

K-Means Algorithm Working

K-Means Algorithm

Fuzzy C-Means Clustering

Hierarchical Clustering

Association Clustering

Association Rule Mining

Apriori Algorithm

Apriori Demo

What is Reinforcement Learning?

Reinforcement Learning Process

Markov Decision Process

Understanding Q – Learning

Q-Learning Demo

The Bellman Equation

What is Deep Learning?

Why we need Artificial Neuron?

Perceptron Learning Algorithm

Activation Function

Single Layer Perceptron

What is Tensorflow?

Demo

What is a Computational Graph?

Limitations of Single Layer Perceptron

Multi-Layer Perceptron

What is Backpropagation?

Backpropagation Learning Algorithm

Multi-layer Perceptron Demo

Data Science Interview Questions

# Data Science Full Course – Learn Data Science in 10 Hours | Data Science For Beginners

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