Statistical Data Analysis using MATLAB: A Beginners Guide

Name: Statistical Data Analysis using MATLAB: A Beginners Guide
Rating: 4.2 (161 reviews)

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

Created byDr. Vaibhav Hendre

Last updated 12/2023

English

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

Course content

9 sections • 52 lectures • 9h 18m total length

Introduction15:35
Importance of Data Analytics and its Applications: An Overview16:04
Why MATLAB as Data Analytics Tool?15:55

Introduction-Session III1:09
Why Statistical Data Analysis?10:53
Explore how statistical data analysis using Matlab supports engineering design, from data collection and presentation to descriptive and inferential statistics, hypothesis testing, and making data-driven decisions.
General work flow in Data Science6:51
Time Series and Trend Analysis5:17
Basic Data Analysis-Flow and Fundamentals7:20
Basic Data Analysis and Time Series

Introduction :Data Preprocessing5:24
Importing Data in MATLAB9:59
Importing Data from Microsoft Word File9:37
Importing Data from Microsoft Excel File13:38
Data Importing in MATLAB
Data Import Tool in MATLAB12:09
Importing Data in MATLAB
Import large collections of data using Datastore12:27
Clean Messy and Missing Data12:20
Identify messy and missing data in MATLAB tables by locating nan and nat. Replace or remove missing data using nearest values, standardized missing, and read table.
Defining Outliers10:50
Smoothing and Filtering Data8:13
Preprocessing of Data
Data Preprocessing for Messy Data

Why Data Visualization? Techniques and Suitability11:15
2-D Plots14:10
3-D Plots8:55
Basic Plotting
Specialized 2-D Plots9:35
Histograms on Data sets12:04
Explore how histograms reveal the frequency distribution of continuous data, and learn to plot and customize them in MATLAB using the histogram function, including bin width, normalization, and display options.
Statistical plotting16:09
Statistical Plotting
Data visualization of Tall Arrays12:10

MATLAB Project-1 Part-1-Statistical Visualization of WindData Dataset9:08
MATLAB Project-1-Part-1 Solution11:08
Explore statistical data analysis in MATLAB using the wind data.mat, load and convert variables, compute mean, min, max, and std, and illustrate the results with visualization, including dual y-axes.
MATLAB Project-1 Part-2 Wind Flow 3-D Visualization8:46
MATLAB Project-1 Part-2 Solution14:02

Introduction and Problem Statement8:35
MATLAB Project-2:Part-1 Data Preparation and Visualization9:56
MATLAB Project-2:Part-1 Solution11:30
MATLAB Project-2: Part-2 Data Preprocessing and Visualization10:30
MATLAB Project-2:Part-2 Solution11:58
MATLAB Project-2: Part-3 Statistical Data Modeling9:23
MATLAB Project-2: Part-3 Solution10:41
MATLAB Project-2: Part-4 Data Animation12:50
MATLAB Project-2: Part-4 Solution16:17

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 Analytics

The 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.

Who this course is for:

Beginners who want to develop the career as Data Analyst

Statistical Data Analysis using MATLAB: A Beginners Guide

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 48min

MATLAB Fundamentals to Begin with5 lectures • 39min

Fundamentals of Statistical Data Analysis5 lectures • 32min

Data Preprocessing :Step by Step Approach9 lectures • 1hr 35min

Data Summary Statistics6 lectures • 1hr 5min

Data Visualization using MATLAB7 lectures • 1hr 24min

MATLAB Project-1 :Statistical Data Summery and Visualization4 lectures • 43min

Statistical Data Modeling4 lectures • 52min

MATLAB Application Project -2 Statistical Data Analysis for Covid-19 Data of US9 lectures • 1hr 42min

Requirements

Description

Who this course is for: