Essential Statistics for Data Science

Statistics for Beginners
Free tutorial
Rating: 4.2 out of 5 (183 ratings)
4,468 students
1hr 59min of on-demand video
English
English [Auto]

Understand Statistics Basics
Statistics - Data Types and Application
Harnessing Data - Sampling Techniques
Exploratory Data Analysis

Requirements

• Basic Mathematical knowledge is preferred.

Description

Data Science is an inter disciplinary fields combining Statistics, Programming, Machine Learning and Business Knowledge.

Statistics is the key field in analyzing the data to extract insights for business decisions.  Though, Statistics as a field is vast, a limited concepts involving quantitative methods are useful in data science.

The science of collecting, describing, and interpreting data is popularly known as Statistical leveraging in Data Science

Two areas of Statistics in Data Science:

Descriptive statistics – Methods of organizing, summarizing, and presenting data in an informative way

Inferential statistics – The methods used to determine something about a population on the basis of a sample

A strong statistics foundation is mandatory for  data science professionals, as statistics is basis for any data analysis.

Statistics is also predominantly used in Machine Learning for feature engineering.

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This is an introductory course on Statistics for Data Science for Beginners.

There are no hard prerequisites for this course. Anyone interested can pursue.

The goal of this course is to provide a statistics with simple examples and learning the learners to get comfortable with Statistics as they move on to more advanced statistical methods.

Curriculum

INTRODUCTION

1. Statistics  Overview - Introduction

2. Statistics Basic Terminology

3. Types of Data

HARNESSING DATA

1. Introduction -  Sampling Methods

2. Sampling Methods

3. Cluster Sampling

4. Systematic Sampling

5. Biased Sampling

6. Sampling Error

EXPLORATORY DATA ANALYSIS

1. EDA - Central Tendencies

2. EDA - Variability

3. EDA - Histogram, Z-Value, Normal Distribution

Happy Learning

Team DataMites

Who this course is for:

• Data Science Aspirants, who want to get good foundation of Statistics

Instructor

A Global institute for Data Science
• 4.2 Instructor Rating
• 183 Reviews
• 4,468 Students
• 1 Course

DataMites® established in 2016 with vision to provide affordable courses in Data Science  and Artificial Intelligence.

As on 2022, DataMites® have 50,000+ active learners and helped thousands to transition to  data science roles successfully.

DataMites® is accredited by  International Association of Business Analytics Certifications (IABAC®)

DataMites® IABAC® Certifications:

1. Certified Data Scientist

2. Artificial Intelligence Expert

3. Certified Python Developer

4. Machine Learning Expert

5. Data Science for Managers

DataMites partnered with NASSCOM Future Skills Certifications.

DataMites partnered with JAIN University JAINx , A deemed university in extending Data Science certifications to learning community.

Mr. Ashok Veda is the lead mentor DataMites®.  He has 19 years of experience

Mr. Ashok Veda is a leading AI coach, AI researcher, and entrepreneur in equal measures. Currently serving as CEO at Rubixe, an AI company. He is Ph.D. scholar in field of AI, holds an MBA from the University of Amsterdam and IIM Ahmedabad.