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    Statistical Data Analysis Using Matlab: A Beginners Guide

    Posted By: ELK1nG
    Statistical Data Analysis Using Matlab: A Beginners Guide

    Statistical Data Analysis Using Matlab: A Beginners Guide
    Published 11/2023
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 6.68 GB | Duration: 9h 18m

    Fundamentals of Statistical Data Analysis with hands-on Projects in MATLAB

    What you'll learn

    Learners will be able to understand the process of data collection, organization, visualization, and Modeling of the Data

    The program is designed to get acquainted with the MATLAB software and its applications in the domain of Data Sceince.

    The hands-on practice sessions and relevant literature will lead them to acquire fundamental knowledge of Statistical Data Analysis process and its applications

    This course will help to start the journey of Learners in the Data Sceince domain and will lead them to start the career as Data Analyst

    Requirements

    This course is designed for Beginners and therefore no prerequisites are required except fundamental knowledge of computers

    Description

    Statistical Data Analysis using MATLAB: A Beginners Guide This course will create interest among the participants and encourage them to undertake the project activities related to Data Analysis which are expected to lead them to start their journey towards Data AnalyticsThe course is designed to get basic knowledge of Statistical Data Analysis and its real time applications in various fields of Science, Engineering and allied domain.The course includes step by step approach for Data Pre-processing, Data Summery Statistics, Data Visualization and Data Modelling. The two Application Projects on Data Visualization and Data Modeling for the practical datasets will provide the hands-on practice of implementing the concept learned in the course. The Matlab tool is selected for Data Analysis as it is the most used tool in industry and research applications. The hands-on practice sessions and relevant literature will lead them to acquire fundamental knowledge of Data Analysis, Data Visualization and Data Modelling using MATLAB.This course is designed for Beginners and therefore no prerequisites are required except fundamental knowledge of computers. However, will be added benefit if having some basic knowledge of MATLAB. This course is intended for the undergraduate, postgraduate students in Science, Engineering, Commerce and the industry persons working in the field of Data Science.

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 Importance of Data Analytics and its Applications: An Overview

    Lecture 3 Why MATLAB as Data Analytics Tool?

    Section 2: MATLAB Fundamentals to Begin with

    Lecture 4 Introduction-Session-II

    Lecture 5 What is MATLAB? and Why to Study MATLAB?

    Lecture 6 MATLAB System :Development Environment

    Lecture 7 MATLAB help command and demonstration program

    Lecture 8 General Commands in MATLAB

    Section 3: Fundamentals of Statistical Data Analysis

    Lecture 9 Introduction-Session III

    Lecture 10 Why Statistical Data Analysis?

    Lecture 11 General work flow in Data Science

    Lecture 12 Time Series and Trend Analysis

    Lecture 13 Basic Data Analysis-Flow and Fundamentals

    Section 4: Data Preprocessing :Step by Step Approach

    Lecture 14 Introduction :Data Preprocessing

    Lecture 15 Importing Data in MATLAB

    Lecture 16 Importing Data from Microsoft Word File

    Lecture 17 Importing Data from Microsoft Excel File

    Lecture 18 Data Import Tool in MATLAB

    Lecture 19 Import large collections of data using Datastore

    Lecture 20 Clean Messy and Missing Data

    Lecture 21 Defining Outliers

    Lecture 22 Smoothing and Filtering Data

    Section 5: Data Summary Statistics

    Lecture 23 Introduction: Summarizing of Data

    Lecture 24 Measure of Location

    Lecture 25 Measure of Scale

    Lecture 26 Introduction to Categorical Data

    Lecture 27 Performing Calculations by Category

    Lecture 28 Shape of Distribution

    Section 6: Data Visualization using MATLAB

    Lecture 29 Why Data Visualization? Techniques and Suitability

    Lecture 30 2-D Plots

    Lecture 31 3-D Plots

    Lecture 32 Specialized 2-D Plots

    Lecture 33 Histograms on Data sets

    Lecture 34 Statistical plotting

    Lecture 35 Data visualization of Tall Arrays

    Section 7: MATLAB Project-1 :Statistical Data Summery and Visualization

    Lecture 36 MATLAB Project-1 Part-1-Statistical Visualization of WindData Dataset

    Lecture 37 MATLAB Project-1-Part-1 Solution

    Lecture 38 MATLAB Project-1 Part-2 Wind Flow 3-D Visualization

    Lecture 39 MATLAB Project-1 Part-2 Solution

    Section 8: Statistical Data Modeling

    Lecture 40 Introduction to Data Modeling

    Lecture 41 Parametric Modeling: Linear Regression

    Lecture 42 Polynomial Regression

    Lecture 43 Analyze Time Series Data

    Section 9: MATLAB Application Project -2 Statistical Data Analysis for Covid-19 Data of US

    Lecture 44 Introduction and Problem Statement

    Lecture 45 MATLAB Project-2:Part-1 Data Preparation and Visualization

    Lecture 46 MATLAB Project-2:Part-1 Solution

    Lecture 47 MATLAB Project-2: Part-2 Data Preprocessing and Visualization

    Lecture 48 MATLAB Project-2:Part-2 Solution

    Lecture 49 MATLAB Project-2: Part-3 Statistical Data Modeling

    Lecture 50 MATLAB Project-2: Part-3 Solution

    Lecture 51 MATLAB Project-2: Part-4 Data Animation

    Lecture 52 MATLAB Project-2: Part-4 Solution

    Beginners who want to develop the career as Data Analyst