Data Analytics with R Certification Training

<p>Data Analytics with R training will help you gain expertise in R Programming, Data Manipulation, Exploratory Data Analysis, Data Visualization, Data Mining, Regression, Sentiment Analysis and using R Studio for real life case studies on Retail, Social Media.</p> <p><strong>What are the objectives of this course?</strong></p> <p>After the completion of the MyCareerCube Data Analytics with R course, you should be able to:<br />1. Understand concepts around Business Intelligence and Business Analytics.<br />2. Explore Recommendation Systems with functions like Association Rule Mining , user-based collaborative filtering and Item-based collaborative filtering among others.<br />3. Apply various supervised machine learning techniques.<br />4. Perform Analysis of Variance (ANOVA).<br />5. Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc.<br />6. Use various packages in R to create fancy plots.<br />7. Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights.</p> <p><strong>Who is it intended for?</strong></p> <p>This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in near future. This is a must learn course for professionals from Mathematics, Statistics or Economics background and interested in learning Business Analytics.</p> <p><strong>Requirements</strong></p> <p>The pre-requisites for learning 'Data Analytics with R' includes basic statistics knowledge. We provide a complimentary course "Statistics Essentials for R" to all the participants who enroll for the Data Analytics with R Training. This course helps you brush up your statistics skills.</p>