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The courses are aimed at anyone who wants to learn Algebra, Analytics and Calculus from the basics to the latest lessons in the program. We cover everything, so even if you're starting he program , you'll be able to quickly jump in.


Jonathan Borba

What Will You Get From OUR EBooks?

The ebooks course covers the linear algebra that an engineer should know. The mathematics in this ebooks is presented at the level of an advanced high school student, but typically students should take this courses after completing a university-level single variable calculus course. There are no derivatives or integrals in this ebooks, but students are expected to have attained a sufficient level of mathematical maturity. Nevertheless, anyone who wants to learn the basics of matrix algebra, analytics and calculus are welcome.

From beginner to graduate

The eBooks contain 38 chapters, with a few problems to solve after each chapter.

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eBooks are in a portable PDF format.
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our courses

We mainly provide 3 mathematical courses in form of eBooks.

You can also subscribe for a live session with one of our professional institutors .


The Algebra course, often taught in the 9th grade, covers Linear equations, inequalities, functions, and graphs; Systems of equations and inequalities; Extension of the concept of a function; Exponential models; and Quadratic equations, functions, and graphs.


Calculus course is covering real numbers, functions, continuity and limits, derivatives, curve sketching, optimization areas between curves, applications of the derivative, anti-derivatives, integrals, and areas.


Analytics covers essentials of mathematical probability, random variables, distributions, Bayes Theorem, probability mass functions and CDFs, joint distributions and expected values.


This topic involves shapes, lines, angles, and measurement. It covers basic principles such as congruence and similarity, as well as more advanced topics such as trigonometry and the Pythagorean theorem.

Probability and Statistics

These topics involve understanding chance and variability in data. Probability deals with the likelihood of events, while statistics involves collecting, analyzing, and interpreting data

Number Theory

This topic explores the properties of numbers and their relationships. It includes prime numbers, divisibility rules, and the famous Riemann hypothesis.


This topic deals with counting techniques and combinations. It includes permutations, combinations, and the famous Pigeonhole principle.

Graph Theory

This topic involves the study of networks and connections. It includes understanding graphs, trees, and networks and their applications.

Differential Equations

This topic deals with mathematical models that involve rates of change. It includes topics like first-order differential equations and linear differential equations.

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