Data Analytics with R Training with Certificaiton

Data Analytics with R Training

Course Description

Data Analytics with R is new trend in Information Technology. We here at Codec Networks will ensure that you are not left behind in this fast moving world of Big Data and its Use in sense of Analytics. R programming language and its packages implement a wide variety of statistical and graphical techniques, including linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering that is becoming more and more popular for doing data science. Companies worldwide are using R programming language to harvest insights from their data and get a competitive edge. Unlike any other R programming language tutorial, this course focuses on R language specifically for data science. In our Intro to R language class, you will learn about powerful ways to store and manipulate data as well as cool data science tools to start your own analyses. Enroll with Codec Networks course to get started with Data Analytics with R.

Who Should Attend

This course is intended for learners who have basic R or programming background, and want to apply statistics, machine learning, information visualization, data analysis, and text analysis techniques to gain new insight into data. The class is taught in a tutorial format using the multiple library, and only a minimal statistics background is expected, and the first course contains a refresh of these basic concepts. There are no geographic restrictions. Learners with a formal training in Computer Science but without formal training in data science will still find the skills they acquire in these courses valuable in their studies and careers.

Modules Covered

  • Introduction to Artificial Intelligence & Data Science.
  • R Essentials
  • Data Types in R
  • Accessing/Importing Data and Exporting Data using Python modules
  • Reading Tabular Data
  • Data Manipulation-Cleaning & Munging using Python modules
  • Data Analysis-Visualization Using Python
  • Introduction to Statistics
  • Introduction to Predictive Modelling
  • Exploratory Data Analysis EDA
  • Project- Customer-Segmentation
  • Project- Fuel Efficiency
  • Project-alcohol Consumption in Canada.
  • Project- Predict diabetes.
  • Project- Market Basket Analysis
  • Project- Atlanta-Crime
  • Project- Mining-Articles

Course Duration

  • Fast Track: : 10 Days (8 Hours/Day)
  • Regular Track: : 8 Weeks (2.5 Hours/Day)
  • Weekend Track : 12 Weekends (3 Hours/Day)

Post Training Program (CODEC Networks Specialty)

  • Live Project Work
  • Extensive Classroom Training
  • Internship Opportunity with experts and R & D team
  • Placement Assistance **
  • Discount Vouchers up to 10 - 15% for further training

Package Includes

  • Weekly Assignments, Reference codes & Study material in PDF format
  • Module-wise Case Studies/ Projects
  • Career Guidance & Career Support
  • The completion of some selected assignments & case studies
  • Certificate of Excellence from CODEC Networks