Data science Foundation Course.
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The document provides information about courses on R for Data Science and Business Opportunities & Statistical Methods (BOSOM). For R for Data Science, the course outline covers topics like R data structures, programming, objects, debugging, charts/plots, Shiny, data manipulation/transformation, and report generation. The outcome is being able to do data analytics/graphics in applications using R. BOSOM covers probability, regression, ANOVA, hypothesis testing, multiple regression, and correlation. The outcome is being able to analyze datasets, build models, validate models, and use data analytics for forecasting. Contact information and social media links are also included.
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This document provides tips for scoring 700 or higher on the GMAT exam. It discusses the different sections of the GMAT - Analytical Writing, Integrated Reasoning, Quantitative, and Verbal. It emphasizes creating a study plan, practicing all sections equally, focusing on answering questions to the best of your ability rather than worrying about difficulty, and time management. The key points are to assess your strengths and weaknesses, mold your preparation strategy accordingly, pace your solving skills, and maintain patience throughout your GMAT preparation.
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This document provides tips for different sections of the GRE exam, including text completion, sentence equivalence, reading comprehension, quantitative comparison, problem solving, algebra, proportions, and geometry. For each section, it outlines strategies such as using context clues, process of elimination, mapping passages, comparing quantities without calculating, picking numbers, solving for variables, writing proportions as fractions, and using the Pythagorean theorem for right triangles. Contact information is also provided at the end for test preparation resources.
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This document provides tips for achieving a PTE 60 band score in reading, listening, speaking and writing. It lists contact information for test preparation centers in Adyar and Vadapalani. The tips include focusing on fluency in speaking, tracking time limits in reading, taking good notes in listening, and practicing summarizing and essay writing templates for the writing section. Regular practice of vocabulary, grammar, note-taking, and different topics is encouraged across the sections to improve skills and score.
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This document provides tips for achieving a high band score on the IELTS exam. It offers advice for the four components of the exam: Listening, Reading, Writing, and Speaking. For Listening, it recommends previewing questions, checking spelling, and practicing different accents. For Reading, it suggests highlighting key details, answering literal questions precisely, and focusing on paragraph ideas not individual words. For Writing, it emphasizes accurately describing graphs and charts, leaving time to proofread, and using varied vocabulary. For Speaking, it advises making eye contact, having a natural conversation not speech, and being prepared to discuss current issues.
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For Upcoming Meetups Join Mysore Meetup Group - https://meetups.mulesoft.com/mysore/YouTube:- youtube.com/@mulesoftmysore
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- 1. www.ticse.org CONTACT NO : ADYAR (9841633116 /044-24462116 ) VADAPALANI (9840403117 /044-23652016)
- 2. www.ticse.org CONTACT NO : ADYAR (9841633116 /044-24462116 ) VADAPALANI (9840403117 /044-23652016) R for Data Science: Course Outline: R Data Structures R Programming Create R objects Debugging R Code Charts and Plots R Shiny Manipulate and transform data Import and export raw data files Install R, R packages, and R workbench Create basic, detail and summary reports
- 3. www.ticse.org CONTACT NO : ADYAR (9841633116 /044-24462116 ) VADAPALANI (9840403117 /044-23652016) Course Outcome: R can enable data analytics computations and graphics into new or existing applications with minimal effort Assimilate the process for installation of R, R Package & R workbench. Import any type of data into R and do the data cleaning and then prepare visualization report. Assimilate the essential conceptual framework of R Programming in the context of Big Data Applications. This program is built on statistical modelling on a IT platform and is user-friendly for any person interested to work on Big Data to cull out data and present it analytically. Present the dash board using Shiny.
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- 6. theimmaculatecoaching@gmail.com FOLLOW US ON : www.ticse.org