Statistics for Data Analysis

Offered byUDACITY

Statistics for Data Analysis
at
UDACITY
Overview

Gain competitive advantage in data analysis and become a data expert capable of skillfully describing data types, measures of center and spread, and detecting outliers. Master interpreting mathematical expressions, calculating probabilities, applying Bayes Rule, and more

Duration	3 months
Total fee	₹61,500
Mode of learning	Online
Difficulty level	Beginner
Official Website	Go to Website
Credential	Certificate

Statistics for Data Analysis

Table of content

Overview
Highlights
Course Details
Curriculum
Faculty

Statistics for Data Analysis
at
UDACITY
Highlights

Earn a certificate after completion of course from Udacity
Fee can be paid in installments
Real-world projects
Personalized project reviews

Statistics for Data Analysis
at
UDACITY
Course details

Skills you will learn

Data analysis Statistics

What are the course deliverables?

Statistical modeling fundamentals

Logistic regression

Linear regression

Linear functions

Normal distribution

Experiment design

Statistical sampling

Pandas

A/B testing

More about this course

Students will learn essential skills, including describing data, understanding probability theory, designing experiments, interpreting statistical results, and applying statistical models with Python

After successfully completing this Nanodegree program, graduates will be armed with a robust foundation in statistical analysis that can be applied to Data Analyst, Business Analyst, and Data Scientist roles

Statistics for Data Analysis
at
UDACITY
Curriculum

Welcome to the Statistics for Data Analysis Nanodegree Program

An Introduction to Your Nanodegree Program

Getting Help

Descriptive Statistics

Introduction

Datatypes

Measures of Center

Statistics for Data Analysis
at
UDACITY
Faculty details

Sebastian Thrun

As the Founder and Chairman of Udacity, Sebastian's mission is to democratize education by providing lifelong learning to millions of students worldwide. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.

Josh Bernhard

Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.