Learn Statistics from Basics
4.8 (121 ratings)
702 students enrolled
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# Learn Statistics from Basics

Master your concepts on Statistics in a detailed manner with extensive practice
4.8 (121 ratings)
702 students enrolled
Last updated 7/2017
English
Current price: \$10 Original price: \$200 Discount: 95% off
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Includes:
• 2 hours on-demand video
• Access on mobile and TV
• Certificate of Completion
What Will I Learn?
• Learn concepts of Sampling Theory and Applications
• Master Estimation Theory concepts
• Get practice on Tests of Hypotheses and Significance
• Get a hang of Curve Fitting, Regression, and Correlation
• Learn different subtopics from Analysis of Variance and Nonparametric Tests
View Curriculum
Requirements
• Student should have basic math knowledge
• Students who are not from a mathematical background can also take this course, but they just might have to do some prework to easily understand the lectures
Description

If you take a lot of exams in school, how do you measure your actual performance? How do you compare yourself to other students? Who is the best basketball/soccer/baseball/… player of all times? If you take a blood test and you have values that are higher than the average, should you be worried? All these things are based on descriptive statistics. It is the art of taking lots of information, down to one small number: either the average/median or standard deviation.

Let us take it to a next step. You are a store manager with only one good in your shop. You have monthly data on the sales and the price. If you increase the price, sales drop by X%. If you decrease the price, sales drop by X%. How wonderful would it be that you drew some sort of line (ps: it’s a regression line) that would fit the data well. Why? Because you get a more educated guess what will happen your sales if you change the price. You are in the area of regression models.

Let us take it (many steps) further. You have data on stock prices and other variables. Can you construct some sort of model that will give you an estimate/prediction of the stock price tomorrow, based on the values of certain variables today. Who wouldn’t want that? You can do this via several methods: predictive analysis, markov swithcing models, nonlinear regression models,… The list is endless and the possibilities are endless (although they are more advanced). It can also be interesting just to see how variables relate to one another (but this is not nearly as profitable as the first example).

Why is statistics important? It is based on two elements: inference and prediction. If you are interested in how variables are connected with each other and how the relations are, you have inference. If you want to predict future values, you are obviously in the area of prediction. That is the reason why one would estimate the function of some sort of data set.

How do you make a decision? We use our gut some, but ideally, we want it to be based on information. Data is important, because sometimes our gut is very very wrong. But also, the more you understand statistics, the better your gut feelings get.

First we have to learn how to gather information. If you gather the information incorrectly, it’s worthless.

Once you learn how to collect good data, how do we organize it? How do we summarize and describe it in a way that becomes meaningful and easier to deal with? How do we visualize it?

Now that we have our information and we’ve organized it, what conclusions can be drawn? A set of numbers can tell many different stories, how do you make it tell the truth? What are its limitations? What additional information do we need to make our decision?

Sure, there are areas where statistics is used more formally. Namely business, science, and engineering. But really any time there are decisions to be made, whether they’re personal decisions or professional ones, a solid understanding of statistics can ultimately help you make better ones.

The bottom line is that statistics education can be tailored to your unique path. The first step is simply enrolling in a statistics course, whether you’re a high school or college student, and then opening yourself to its power and potential.

So, welcome to this course on Statistics. We will guide you through all the concepts and make sure that you will in Statistics by the end of this course, along with thorough practice.

Let's get started!

Who is the target audience?
• Anyone who is interested in learning statistics extensively starting from basics.
• Anyone who wants build their career as a Statistician or a Data Scientist
• Anyone who wants improve their Statistic and Math knowledge so that it would be useful in whatever field they work in.
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Curriculum For This Course
19 Lectures
02:08:13
+
Introduction
1 Lecture 02:57
Preview 02:57
+
Sampling Theory
18 Lectures 02:05:16
Preview 10:54

Sampling With and Without Replacement
04:56

Random Samples and Random Numbers
04:03

Population Parameters
08:14

Sample Statistics
08:04

Sampling Distributions
02:27

The Sample Mean
03:22

Sampling Distribution of Means
11:10

Sampling Distribution of Proportions
05:22

Sampling Distribution of Differences and Sums
09:18

The Sampling Variance
06:44

Sampling Distribution of Ratios and Variances
05:03

Sampling Distribution of Variances
04:42

Other Statistics
12:46

Case Where Population Variance is Unknown
05:29

Frequency Distributions
09:36

Relative Frequency Distributions
02:43

Computation of Mean, Variance and Moments for Grouped Data
10:23