Date Science Certification Traning – R Programming
(All course fees are in USD)
The Data Science Certification with R programming training 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.
Offered in Partnership with
Total applied learning: 64 hours
- 64 hours of blended learning
- 10 real-life industry projects
- Dedicated mentoring session from industry experts
Skills to be Learned
- Business analytics
- R programming and its packages
- Data structures and data visualization
- Apply functions and DPLYR function
- Graphics in R for data visualization
- Hypothesis testing
- Apriori algorithm
- Kmeans and DBSCAN clustering
Award upon Successful Completion
Data Science with R Language Certification Training “Certificate of Achievement” from Simplilearn
- Gain a foundational understanding of business analytics
- Install R, RStudio, 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 DPLYR functions
- Understand and use the various graphics in R for data visualization
- Gain a basic understanding of various statistical concepts
- Understand and use the hypothesis testing method to drive business decisions
- Understand and use linear and non-linear regression models, and classification
techniques for data analysis
- Learn and use the various association rules with the Apriori algorithm
- Learn and use clustering methods including k-means, DBSCAN, and hierarchical clustering
Project 1 – Products rating prediction for Amazon
Help Amazon, a US-based e-commerce company, improve its recommendation engine by predicting ratings for the non-rated products and adding them to recommendations accordingly.
Project 2 – Demand Forecasting for Walmart
Predict accurate sales for 45 Walmart stores, considering the impact of promotional markdown events. Check if macroeconomic factors have an impact on sales.
Project 3 – Improving customer experience for Comcast
Provide Comcast, a US-based global telecom company, key recommendations to improve customer experience by identifying and improving problem areas that lower customer satisfaction.
Project 4 – Attrition Analysis for IBM
IBM, a leading US-based IT company, wants to identify the factors that influence employee attrition by building a logistics regression model that can help predict employee churn.
Who Should Enrol
There is an increasing demand for skilled data scientists across all industries, making this data science certification course well-suited for participants at all levels of experience. We recommend this data science training particularly for the following professionals:
- IT professionals
- Analytics professionals
- Software developers
There are no prerequisites for this Data Science Certification with R programming course. If you are a beginner in Data Science, this is one of the best courses to start with.
Lesson 0 – Course Introduction
Lesson 1 – Introduction to Business Analytics
Lesson 2 – Introduction to R Programming
Lesson 3 – Data Structures
Lesson 4 – Data Visualization
Lesson 5 – Statistics for Data Science-I
Lesson 6 – Statistics for Data Science-II
Lesson 7 – Regression Analysis
Lesson 8 – Classification
Lesson 9 – 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.
Accessible Period of Course
1 year from date of enrolment
Programmer Analyst III – Cardiology Information Systems at New York-Presbyterian Hospital
Level of granularity. Tutor knowledge. Class size. Tutor’s confidence, subject knowledge, and high level of commitment to student understanding of the material. Tutor assisted students who had issues with SAS installation. Great Tutor-Student interaction.
Data Scientist at Accenture
Simplilearn is a good platform for starting the data science knowledge. The Data Science with R course has helped me get a promotion from a Business Analyst to Data Scientist.
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.
Market Research and Monetization | Peanut Labs
I have taken Simplilearn’s Data Science course & will now be taking their CAPM program. This has helped me professionally and academically, & I recommend them to anyone.
- Students 0 student
- Max Students1000
- Duration64 hour
- Skill levelall
- Re-take course1000
Lesson 0 - Course Introduction
Lesson 1 - Introduction to Business Analytics
Lesson 2 - Introduction to R Programming
Lesson 3 - Data Structures
Lesson 4 - Data Visualization
Lesson 5 - Statistics for Data Science-I
Lesson 6 - Statistics for Data Science-II
Lesson 7 - Regression Analysis
Lesson 8 - Classification
Lesson 9 - Clustering
Lesson 10 - Association