Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 2.18 GB | Duration: 5.5 hours

Probability tells us how often some event will happen after many repeated trials, we start off with an introduction to this interesting topic.

What you'll learn

You will understand the important teologies and statistical methods in data science

You will understand confusion matrix, discrete and continuous random variables

You will learn the basics of descriptive statistics using a Metric example

You will learn what percentile is with the help of examples

You will get more clarity by solving several examples


How to tell the story through data

You will learn how to collect data, how to visualize data, how to predict or explain different behaviors and events and how to find ideas for data research.

Learn the fundamental concepts of descriptive statistics

Requirements

Students of mathematics and statistics will gain immensely since the course is taught right from the very basics

Everyone can take this course, no experience is needed. We will go step-by-step from the very bning

Just some and willingness to learn

Description

Statistics

You need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist.

Mathematics

Learning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail.

We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on.

Why learn it?

Probability, Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal.

Advanced Statistics

Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail.

Main features of this course:

Provides you the complete package to be comfortable using statistics and analyzing data

Covers all stages of data analysis process

Very easy to understand

No complicated equations

Plain English instead of multiple statistical terms

Practical, with mobile shopping case study

Exercises and quizzes to help you master data analysis and statistics

Upon completion of this course, you'll be ready to apply what you've learned to excel in your statistics classes and make smarter business decisions

Who this course is for:

Professionals desiring to augment their statistical & mathematical skills

Anyone seeking to increase their data analytics capability

Who this course is for:

It's for you, if you are interested in data analysis or statistics

It's for you, if you want to update or develop your skills and analyze data the right way

It's for you, if you want to be more efficient in your work

It's for you, if you want to make informed decisions based on data



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