Linear Algebra & Statistical Techniques

Dr.Ruchi Gupta
SA
Seema Aggarwal
SAVITTA SAINI
Last Update June 4, 2021
1 already enrolled

About This Course

Linear algebra is the branch of mathematics concerning linear equations which provides concepts which are useful to many areas of computer science. It’s really useful in Data Science when data written as vectors and then operations performed  on them in order to measure them. Linear Algebraic methods are necessary to do that.

Statistics is about collection, organization, displaying, analysis, interpretation and presentation of data

Target Audience

  • All Students

Curriculum

44 Lessons

Quadrant 2 Elementary Row Transformations

In this lecture we will introduce elementary row transformations on matrices.
Draft Lesson
Draft Lesson
Lesson 200:00:00
MCQ 1

Quadrant 2 Solving Linear Systems using Gaussian Elimination

In this lecture we will learn to the study of the nature of the solutions of a system of linear equations.

Quadrant 2 &4 : Bases and Dimensions-1

We will study about basis and dimension of vector spaces

Quadrant 2: Bases and Dimensions -2

continuation of bases and dimensions of vector spaces

Quadrant 2: Identical spaces

To study linear spaces

Quadrant 2:Linear Space

To Study about linear Spaces

Quadrant 2 Gauss Jordan Row Reduction Method

In this lecture we will learn solving the system of linear equations by Gauss Jordan Row Reduction Method .

Quadrant 1 Eigen Value & Eigen Vector Module-I

Quadrant 1Eigen Value & Eigen Vector Module-2

Quadrant 1 & 4 Cayley Hamilton theorem

Quadrant 1 Cayley Hamilton theorem

Quadrant 1 Diagonalization of matrices Module -I

Quadrant 1 Diagonalization of matrices Module- II

Quadrant 1 Non Homogeneous Linear Systems Module -I

Quadrant 1 Non Homogeneous Linear Systems Module -II

Quadrant 1 Homogeneous Linear Systems Module -I

Quadrant 1 Homogeneous Linear Systems Module-II

Quadrant 1 Homogeneous Linear Systems Module-II

Quadrant 1 Rank of Matrix Module-I

Quadrant 1Rank of Matrix Module -II

Quadrant 1 Introduction to Matrices Module-I

Quadrant 1 &4: Vector Spaces Module 1

To study about vector spaces

Quadrant 1 &4 : Vetor subspaces Module 1

To study vector subspaces

Quadrant 1: Vector subspaces module 2

Quadrant 1:Linear combination of vectors

To know what is linear combination of vectors

Quadrant 1:Span of a Set

To understand span of a set

Quadrant 2 Properties Of Linear Transformations

In this lecture ,we will discuss some special types of linear transformations .We will also examine some elementary properties of linear transformations.

Quadrant 2: The matrix of a linear transformation continued

In this lecture we will discuss the matrix representation of a linear transformation and will solve a few problems.

Quadrant 2 Linear operator and similarity

In this lecture we will show that any two matrices for the same linear operator (on a finite-dimensional vector space) with respect to different ordered bases are similar.

Quadrant 2 Kernel and Image of a linear transformation

In this lecture, we will study two special subspaces associated with a linear transformation T: V → W, called the “kernel” and “range” of T. We will also illustrate techniques for calculating bases for both the kernel and range. We will see how dimensions of kernel and range are related to the dimension of the domain of a linear transformation.

Quadrant 2 Kernel and Image of a linear transformation continued

In this lecture we will discuss about the dimension theorem and will also solve some problems.

Quadrant 4 – Correlation Analysis

To determine correlation coefficient.

Quadrant 4 – Regression Analysis

To compute regression coefficients and regression equations.

Quadrant 4- Sampling Theory

To apply test of significance

Quadrant 3: FAQ

Frequently Asked Questions

Quadrant 2: Vector Subspaces -II

Algebra of Subspaces

Your Instructors

Dr.Ruchi Gupta

0/5
1 Course
0 Reviews
1 Student
See more

Seema Aggarwal

Assistant Professor

0/5
1 Course
0 Reviews
0 Students
See more

SAVITTA SAINI

Assistant Professor

0/5
1 Course
0 Reviews
0 Students
See more

Write a review

Free
Level
All Levels
Lectures
44 lectures
Subject
Language
English

Material Includes

  • pdf notes
Select the fields to be shown. Others will be hidden. Drag and drop to rearrange the order.
  • Image
  • SKU
  • Rating
  • Price
  • Stock
  • Availability
  • Add to cart
  • Description
  • Content
  • Weight
  • Dimensions
  • Additional information
  • Attributes
  • Custom attributes
  • Custom fields
Compare
Wishlist 0
Open wishlist page Continue shopping