Course Overview

This course is ideal for data analysts or aspiring professionals who wish to make a career in data analytics or data scientist. The potential this certification holders is huge. A huge amount of data is churned out daily and the best ways and means to make sense of the data is sought on a continual basis. The certification most recognized and respected in the market is the Data Scientist. There is an increasing demand for Data Scientist who can easily command a salary of $ $120,931. market sandmarkets.com predicts that the scope for advanced analytics is poised for a growth worth $29.53 Billion by 2019.

What will you learn

This data science training course will enable you to:

Gain a foundational understanding of business analytics

Install R, R-studio, and workspace setup, and learn about the various R packages

Master R programming and understand how various statements are executed in R

Gain an in-depth understanding of data structure used in R and learn to import/export data in R

Define, understand and use the various apply functions and DPLYP functions

Understand and use the various graphics in R for data visualization

Gain a basic understanding of various statistical concepts

Understand and use hypothesis testing method to drive business decisions

Understand and use linear, non-linear regression models, and classification techniques for data analysis

Learn and use the various association rules and Apriori algorithm

Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering

Reviews

There are no prerequisites for this data science online training course. If you are keen in learning or pursue a career in data Analytics  If you are new in the field of data science, this might be the ideal start.  

The target audience for this certification course are mostly

• IT professionals interested in data science and analytics
• Software developers wanting to pursue a career in data science and analytics
• Business analytics Professionals
• Fresh graduates wanting to build in career in the Analytics space
• Experienced professionals who would like to expand their expertise in data analytics

Introduction to Business Analytics
Introduction to R
R Programming
R Data Structure Lesson 05 - Apply Functions
Data Visualization
Introduction to Statistics
Hypothesis Testing I
Hypothesis Testing II
Regression Analysis
Classification
Clustering
Association

What are the System Requirements?
You will need to download R from the CRAN website and RStudio for your operating system. These are both open source and the installation guidelines are presented in the data science course.

All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty for data science online training.

We offer this data science with R certification course in the following formats:

Live Virtual Classroom or Online Classroom: With online classroom training, you have the option to attend the course remotely from your desktop via video conferencing. This format reduces productivity challenges and decreases your time spent away from work or home.

Online Self-Learning: In this mode, you’ll receive lecture videos that you can view at your own pace.

We record the class sessions and provide them to participants after the session is conducted. If you miss a class, you can view the recording before the next class session.

At the end of the training, subject to satisfactory evaluation of the project and passing the online exam (minimum 80%), you will receive a certificate from iCertGlobal stating that you are a certified data scientist with R programming
What payment options are available?
Payments can be made using any of the following options. You will be emailed a receipt after the payment is made.

• Visa Credit or Debit Card
• MasterCard
• American Express
• Diner’s Club
• PayPal

Contact us using the form on the right of any page on the company’s website, or select the Live Chat link. Our customer service representatives can provide you with more details