Data Analytics Using R Course

Duration: 8hrs Instructor-led

• Post-training an online examination is conducted on the basis of which certificate is awarded.
• Post-training 24-hours Project Support and Bootcamp Sessions are provided for over a span of 12 months.

About the Data Analytics using R Certification Course

After successfully acquiring Data Analytics using R Certification, participants can distinguish their profile with the global credential of Data Analytics using R Course Certification | CDA and publicize their expertise by displaying the Hallmark of CDA next to their name. For example Mr. Sandeep Kumar (CDA).

Trainer Profile of Data Analytics using R Certification Course

Delivered by industry professionals, having extensive experience as practitioners of Data Science methodologies and key tools, with renowned international companies. These highly talented practitioners bring valuable experience and demonstrated success across diverse domains & industries. These subject matter experts are also empanelled as domain experts with Henry Harvin® Analytics Academy.

Gold Membership Program

Get 1-Year Membership of Henry Harvin Analytics Academy and avail the following benefits:

• E-Learning Access: Includes Recorded Videos, Games, Projects, Case Studies
• Bootcamp Sessions: Monthly Bootcamp Sessions for 12 Months for Free
• Job Opportunities: Job Opportunities regularly on mail
• Interview Skills: Support in Clearing Interviews with Startups and Top Corporates

Career Benefits

• Learn to apply various R skills and techniques.
• Practice with various tools used by Data Scientists and become experienced in using them.
• Master the key steps involved in tackling a Data-driven problem and learn to think and work like a Data Scientist.
• Work with Wrangling, sorting, vectors, dplyr and a whole lot more!
• Understand R programming language and how it aids Data Science.
• Learn to perform complex data operations in R.
• Utilize several data visualization tools, techniques, and libraries.
• Understand and apply variously supervised and unsupervised Machine Learning models, and algorithms to address real-world challenges.
• Grab an ample range of career possibilities.
• Upgrade your CV and get shortlisted for lucrative jobs.

Learning Benefits

• Enter the world of R Programming and know everything you need to get started with R and Data Science.
• Learn how to ask the right questions, obtain data, and perform reproducible research.
• Use R to clean, analyze, and visualize data.
• Set-up R, R-Studio, Github and other useful tools.
• Cultivate knowledge of foundational data science tools and techniques, including programming in R, and conducting reproducible research.
• Be able to build a data product using real-world data.
• Learn how to program in R and how to use R for effective data analysis.
• Know how to install and configure software necessary for a statistical programming environment.
• Acquire hands on knowledge of practical issues in statistical computing including programming in R, reading data into R, accessing R packages, writing
• R functions, debugging, profiling R code, and organizing and commenting R code.

5+ Projects covered (Hands-on Practical Experience)

• HR: Analyze the Attrition rate of Employees
• Sales: Predicting Department wise Sales
• Multi-Domain: Business Analytics Optimization
• Marketing: Website Trend Analysis
• Financial Analysis: Stock Market Prediction
• Finance: Analyze ETF Trends