Overview

Why learn Data Analysis and Data Science?According to SAS, the five reasons are1. Gain problem solving skillsThe ability to think analytically and approach problems in the right way is a skill that is very useful in the professional world and everyday life. 2. High demandData Analysts and Data Scientists are valuable. With a looming skill shortage as more and more businesses and sectors work on data, the value is going to increase. 3. Analytics is everywhereData is everywhere. All company has data and need to get insights from the data. Many organizations want to capitalize on data to improve their processes. It's a hugely exciting time to start a career in analytics.4. It's only becoming more importantWith the abundance of data available for all of us today, the opportunity to find and get insights from data for companies to make decisions has never been greater. The value of data analysts will go up, creating even better job opportunities. 5. A range of related skillsThe great thing about being an analyst is that the field encompasses many fields such as computer science, business, and maths. Data analysts and Data Scientists also need to know how to communicate complex information to those without expertise.The Internet of Things is Data Science + Engineering. By learning data science, you can also go into the Internet of Things and Smart Cities. This is the bite-size course to learn R Programming for Machine Learning and Statistical Learning. In CRISP-DM data mining process, machine learning is at the modeling and evaluation stage. You will need to know some R programming, and you can learn R programming from my "Create Your Calculator: Learn R Programming Basics Fast" course. You will learn R Programming for machine learning and you will be able to train your own prediction models with Naive Bayes, decision trees, knn, neural network, and linear regression, and evaluate your models very soon after learning the course. You can take the course as follows, and you can take an exam at EMHAcademy to get SVBook Certified Data Miner using R certificate: - Create Your Calculator: Learn R Programming Basics Fast (R Basics)- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in the future)- Machine Learning with R (Modeling and Evaluation)ContentGetting StartedGetting Started 2Getting Started 3Data Mining ProcessDownload Data setRead Data setSome ExplanationsSimple Linear RegressionBuild Linear Regression ModelsPredict Linear Regression ModelsKMeans ClusteringKMeans Clustering in RAgglomeration ClusteringAgglomeration Clustering in RDecision Tree ID3 AlgorithmDecision Tree in R: Split train and test setDecision Tree in R: Train Decision TreeDecision Tree in R: Predict Decision TreeKNN ClassificationTrain KNN in RPredict KNN in RNaive Bayes ClassificationNaive Bayes in RNeural Network ClassificationNeural Network in RWhat Algorithm to Use?Model EvaluationModel Evaluation using R for ClassificationModel Evaluation using R for Regression

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