Data Analytics Capstone

Data Analytics is the science of analysing raw data to make conclusions about information. It has become a crucial aspect of decision-making processes in various industries. It helps companies gain insights from vast amounts of data, allowing them to make informed decisions and improve business operations. Furthermore, it helps a business optimise its performance, perform more efficiently, maximise profit, or make more strategically guided decisions.

Data analysis is the process of extracting information from data. It involves multiple stages, including establishing a data set, preparing the data for processing, applying models, identifying key findings, and creating reports. Data analysis aims to find actionable insights that can inform decision-making.

This 5-day interactive Data Analytics Capstone training course relies on various software tools like R programming Language. The software is one of the most commonly used programming languages in data mining. It is a popular programming language used for statistical computing and graphical presentation. It is an excellent resource for data analysis, data visualisation, data science and machine learning.

It provides many statistical techniques (such as statistical tests, classification, clustering and data reduction). It is easy to draw graphs in R, like pie charts, histograms, box plots and scatter plots. It works on different platforms (Windows, Mac, and Linux) and is open-source & free. It has significant community support that has many packages (libraries of functions) that can be used to solve different problems.

Day One: Fundamentals To “R” Part I

• Getting Started

• Basics

• Matrices and Lists

• For Loops

• Statistics

Day Two: Fundamentals To “R” Part II

• Plots

• Data Frames

• Reading Data from Files

• Linear Regression Analysis

Day Three: Exploratory Data Analysis

• Sampling

• Variables Types

• Frequency Tables

• Cross Tabulation

• Measures of Locations

• Measures of Variation

• Data Visualisation

Day Four: Correlations And Inference

• Correlations

• Measures of Associations

• Inference

• Hypothesis Testing

• ANOVA Test

Day Five: Regression

• Linear Regression

• Multiple Regression

• Logistic Regression

• Time Series Models

• Prediction