We offer a wide variety of online eBook courses fit for a range of interests.
Please take a look at our product selection below. If you have any questions, we’re available via phone or email (we will reply within 1 business day).
Having a basic understanding of statistics is crucial in the analysis of social and behavioral sciences. In this ebook, you’ll learn the primary concepts of statistics and how to evaluate them. This will prepare you for… Learn more
This course is about the primary role of statistics in making use of knowledge more useful to make effective decisions involving statistical thinking. This course gives insights in to the problem solving process using statistics and analysis of numbers to generate new knowledge. All these solutions are illustrated through very interesting case studies elaborately illustrated which use the very simple tools provided by statistics
these case studies include:
a) classification or discrimination,
b) clustering or class discovery
c) Birth order and eminence
d) common breeding ground of eels
e) Mournful numbers – loss of life expectancy due to various causes
f) The importance of being left handed
g) Chrono biology and appropriate time to take vitamin C
h) Computational stylistics
Statistical thinking is demonstrated through the following case studies
a) Salt in statistics
b) detection of faked currency
Relation between information revolution and understanding of statistics is discussed.
Statistics Starters Access Membership is for those who are looking for a monthly basis education. Active members will get access to monthly updated content (in the form of ebooks, mini-guides, and video tutorials). Learn more
Statistics Starters Access Membership is for those who are looking for a monthly basis education. Active members will get access to monthly updated content (in the form of ebooks, mini-guides, and video tutorials).
This is an add-on product available only to those who have also purchased the Primary Concepts and Methods of Statistics product. Each month, we’ll cover a new topic related to Online Statistics and Analytics for Data Science.
Google Analytics Tests and Tracking
Predictive models using a variety of statistical and machine learning algorithms
Identify customer segments and generate purchase recommendations
This ebook was written to equip you with the strong understanding of business management knowledge, analysis tools and techniques. You’ll master essential program functions, build descriptive business data… Learn more
Business management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints.
This in-depth and hands-on series of courses gives you the skills to ensure your projects are completed on time and on budget while giving the user the product they expect. You will gain a strong working knowledge of the basics of business management and be able to immediately use that knowledge to effectively manage work projects.
This ebook provides an analytical framework to assist you evaluate the key issues during a structured fashion and can equip you with tools to higher manage the uncertainties that penetrate and complicate… Learn more
This is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling.
You will be provided with an analytical framework in aid of assisting you in evaluation of the key issues during a structured fashion and can equip you with tools to higher manage the uncertainties that penetrate and complicate business processes.
You’ll also explore basic probability concepts, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions.
Data analytics and data science are popular and in great demand specifically in the area of skill and development. If you are a person hunger for knowledge in Data Statistics, then this offer is for you… Learn more
For a monthly fee, you will have access to more effective resources and strategies related to Data Statistics. Members will get access to in depth content which is updated monthly (in the form of ebooks, mini-guides, audio recordings, and video tutorials).
Topics include the following:
Database Queries (SQL and R)
Data Mining in R
This course will assist you in drawing higher applied mathematics inferences from research. We’ll discuss ways to properly interpret p-values, result sizes, confidence intervals, and the way these statistics… Learn more
* Summarize a set of data, find the center location in a distribution of scores, understand and identify the location of measures of central tendency in skewed distributions, understand and interpret how to find the overall or combined mean for two different sets of data. Variability – How to calculate the standard deviation and variance as well as how to interpret percentiles are provided in simple and clear language.
In the course, you will learn how to easily and effectively analyze and interpret data involving introductory statistics. The following topics are covered in this course:
* Easily understand the often-confused scales of measurement covered in most statistics texts. Central Tendency – mean, median, and mode are illustrated along with practice problems; measures of central tendency and skewed distributions are explained, as well as how to calculate the weighted mean.
* Learn how to easily organize, summarize, understand, and explain a set of numbers. Probability, the Normal Curve and z-Scores – An introduction to probability is provided, along with properties of the normal distribution and how to calculate and interpret z-scores
* Understand and explain variability (spread) in a set of numbers, including how to rank data and interpret data such as standardized test scores (for example, the 95th percentile). Charts and Graphs – How to calculate a cumulative frequency distribution table as well as how to calculate a stem and leaf plot is illustrated.
Scales of measurement – nominal, ordinal, interval, ratio.
* Understand beginning probability including important characteristics of the normal (Gaussian) distribution, as well as how to calculate and interpret z-scores.
If you are looking for something more than what the Statistics Exceptional Access Membership can offer – like One-On-One Coaching and Online Webinars? Then, this is for you who are seeking advanced education… Learn more
Members will have access to monthly updated content (in the form of ebooks, audio recordings, and video tutorials) with Top Rated support.
In this monthly online course, you will apply techniques in data mining in a real world case study. It involves microtargeting in campaigns, but the concept apply equally to any marketing campaign involving individualistic messaging. Topics include:
Applied Predictive Analytics
Social Network Analysis
Do you want to learn how to analyze and solve business and economic queries with data analysis tools? Then, this is the right course for you, as you learn the way to translate knowledge into models to form… Learn more
In this course, we’ll help you understand the key Economics theories and in particular give you an intuitive framework to build on. Economics can often feel overwhelmingly complicated. This course will give you a solid foundation to prepare for your specific University or College’s Economics exam.
Our aim is to help you fully understand the key Economics theories so once signed up, please do not hesitate to reach out to us if you feel there are any topics that you would like more clarity on.
Course topics covered:
* Learn Simple and Multiple Linear Regression.
* Acquire knowledge of Gauss Markov assumptions and theory.
* Master Finite Sample Properties of Ordinary Least Squares (OLS) Method (including proof of unbiasedness).
* Become competent in Hypothesis Testing (including Normal, t, F and Chi-squared tests).
* Grasp Variable Misspecification (excluding a relevant variable, including an irrelevant variable).
* Understand Homoscedasticity and Heteroscedasticity.
In this course, you’ll learn to build reproducible data analysis reports, demonstrate an abstract understanding of the unified nature of statistical inference, perform frequentist and Bayesian inferences and… Learn more
In this course, you’ll learn to build reproducible data analysis reports, demonstrate an abstract understanding of the unified nature of statistical inference, perform frequentist and Bayesian inferences and modeling to understand natural phenomena.
You will also learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data.
This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience.
In this course, you’ll learn the way to line up and perform hypothesis tests, interpret p-values, and report the results of your analysis during a method that’s explainable for shoppers or the general public… Learn more
Ability to understand and apply Statistics is becoming important in the society. A good understanding of Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Statistics.
We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples.
This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.