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Module1- Intro to R Programming
Learning Objectives: Get an idea of what is R. Why R is so popular tool among Data Scientists.
Hands-on: No hands on
Module2- Installing and Loading Libraries
Learning Objectives:Learn how to install R and its components.
Learn how to install and load libarries
Learn frequently used libraries
Module3- Data Structures in R
Learning Objectives: Learn about data structures in R
Module4- Control & Loop Statements in R
Learning Objectives: Learn all about loops and control statements in R
Hands-on: Know how to install R, R Studio and other libraries
Module5- Functions in R
Learning Objectives:Learn how to write custom functions, nested functions and functions with arguments
Module6- Loop Functions in R
Learning Objectives:Lean all about loop functions available in R which are efficient and can be written with single command
Hands-on: Lean all about loop functions available in R which are efficient and can be written with single command
Module7- String Manipulation & Regular Expression in R
Learning Objectives: Learn all about string manipulations and regular expressions. The funtions can be extremely useful for text or unstructured data manipulations
Module8- Working with Data in R
Learning Objectives:Learn how to import data from various sources in R. How to write files from R. How to connect to various databases from R
Module9- Data Manipulation using dplyr
Learning Objectives:Manipulate & learn to transform raw data using dplyr. Learn generating insights from your data
Module10- Exploratory Data Analysis
Learning Objectives: Learn to summarize dataset through descriptive statistics. Use variety of measurements to better understand you data. Learn to treat missing values.Also, learn how to discover patterns in your data
Module11- Data Visualization in R
Learning Objectives: Learn visualization in R with base and ggplot libraries. Learn Grammar of Graphics in a very strctured easy-to-understand manner
Hands-on: Write R Code to implement ggplot for data visualization
Module11- Case Study
Hands-on: Case Study: House Attributes and Sales Price data. Use this data to explore more. Deep Dive into advanced explorations. Analyze and Visualize missing data, treat missing data to missing value imputation. Visualize data with various libraries. Gain deep insights on your data
Covers Exploratory Data Analysis and Data Visualization
Attended a 2 day weekend course by Knowledgehut for the CSM certification. The instructor was very knowledgeable and engaging. Excellent experience.Attended workshop in April 2018
The CSPO Training was awesome and great. The trainer Anderson made all the concepts look so easy and simple. Using his past experience as examples to explain various scenarios was a plus. Moreover, it was an active session with a lot of participant involvement which not only made it interactive but interesting as well. Would definitely recommend this Training.Attended workshop in July 2018
Great course. An interesting and interactive session to better understand how to succeed in formulating a business case and how to present it effectively.Attended workshop in May 2018
The training was very interactive and engaging with the attendees.Attended workshop in June 2018
Glassdoor has ranked Data Science as the best job in America 3 years in a row, with a median base salary of $110000 and 4,524 job openings. This demand is only increasing year on year, making it the fastest growing tech employment area today. Jobs that require knowledge of data science include Data scientist, Analytics Manager, Database Administrator, Data Engineer, Business Intelligence Developer etc. This course will help you master R programming language and use it to create applications for business solutions.
On completing this course, you will be able to:
By the end of this course, you would have gained knowledge on the use of data science techniques and the R language to build applications on data statistics. This will help you land jobs as data scientists
There are no restrictions but participants would benefit if they have elementary programming knowledge
Yes, KnowledgeHut offers this training online.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are R experts who have years of industry experience.
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund
KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor