Calculus For Data Science: University Level Course

Description

In this course we will learn calculus for data science and machine learning. Calculus is vastly using in many engineering and data analysis field. Our discussion will focus on calculus and its application in data science and machine learning. We will solve many problems and exercise of calculus related with data science and machine learning.

This course is 13.5 hours videos course in sequences and series. There are total 9 sections in this course.  The purpose of this course is to enhance the calculus skill at advance level. This course is being taught in different universities at bachelor and master level. I have taught this course many times in university. I recommend to the students if they wants to take this course then take a look in the content section of this course. I also recommend to the students that they should take my first course which is calculus 1 & 2.

Remember that the calculus 1 is very basic course and this course is a little advance course. Since it is practical course, therefore the main contents that we will discuss in this course are sequence and series and some concepts integral and differential calculus. The integral and differential calculus is vastly using in data science and machine learning. In the integral calculus we will master the definite and indefinite integrals along with some word problems. In the differential calculus we will learn the rules of differentiation. W e will also learn the first order differential equation and higher order differential equations. We will discuss the different techniques to solve the first order differential equations and higher order differential equations.

The videos on integral and differential calculus are white board constructed. The length of each video in this section is a little longer but all the videos are high definition videos. I suggest you please watch each video twice and don't skip any video. Also complete the course in two week and don't complete it in only one sitting.

This is the unique course and there is not any other course on udemy or any other platform in calculus for data science and machine learning. The course has designed on writing tablet. The technique that has been used in this course is very simple. The explanations are very nice. Many students around the globe have given this course good rating and they like it very much.

This is risk free course by the udemy policy and terms. You can enroll without any hesitation. You can discuss with your instructor of any concept bu putting the direct message The instructor will give your question promptly.

If you want to know about the instructor introduction before taking this course, then please visit the instructor profile which is live on udemy.

CONTENTS SECTIONS

• What are sequences?

• Convergent and divergent sequences.

• Bounded and monotonic sequences.

• What is an infinite series?

• Convergence and divergence of an infinite series.

• Ratio and root test.

• Alternating series test.

• Absolutely and conditionally convergence of a series.

• Convergence of a power series.

• And many examples and exercises related to above topics.

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