Data Science with R (LIVE Stream)
In Partnership with Simplilearn
This is an ONLINE course. Participants are able to access to the online course upon completion of registration.
Once activated, the licenses will be valid for ONE YEAR from the date of activation.
The Data Science with R programming course covers data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. You will learn about R packages, how to import and export data in R, data structures in R, various statistical concepts, cluster analysis, and forecasting
This Data Science online training with R programming is beneficial for all aspiring data scientists including, IT professionals or software developers looking to make a career switch into analytics, professionals working in data and business analysis, graduates wishing to build a career in analytics, and experienced professionals willing to harness Data Science in their fields.
There are no prerequisites for this Data Science with R certification course. If you are a beginner in Data Science, this is one of the best courses to start with.
Lesson 00 – Course Introduction
Lesson 01 – Introduction to Business Analytics
Lesson 02 – Introduction to R Programming
Lesson 03 – Data Structures
Lesson 04 – Data Visualization
Lesson 05 – Statistics for Data Science-I
Lesson 06 – Statistics for Data Science-II
Lesson 07 – Regression Analysis
Lesson 08 – Classification
Lesson 09 – Clustering
Lesson 10 – Association
Ronald van Loon
Top 10 Big Data and Data Science Influencer, Director – Adversitement
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
The course helped me to improve my skill set and gain the confidence to handle the role of an analyst. I had a break in my career due to immigration policies and had utilized the time to learn new skills, which helped me get a new job faster.Savish Dan