Data Science with R Online Training
About Data Science with R Online Training
Course Objectives
What are the Course Objectives?
After completion of the data science with R Course at Naresh I technologies, you will be expertise and eligible for:
- Complete knowledge of Data Science
- Able to analyze big data
- Able to work in Data Mining
- Able to work on Statistic
- Learn how to use different tool like Tableau, Map Reduce
- Creation of Decision tree
- Explore Big data concept
Who should go for this course
- Any IT experienced Professional who are interested to build their career in Development/ Data Scientist.
- Any B.E/ B.Tech/ BSC/ MCA/ M.Sc Computers/ M.Tech/ BCA/ BCom College Students in any stream.
- Fresh Graduates.
Pre-requisites
The course can learn by any IT professional having basic knowledge of :
- Mathematics
- Statistic
- Any Programming Language
Course Curriculum
- What is R?
- Why R?
- Installing R
- R environment
- How to get help in R
- R Studio Overview
- Variables in R
- Scalars
- Vectors
- Matrices
- List
- Data frames
- Cbind,Rbind, attach and detach functions in R
- Factors
- Getting a subset of Data
- Missing values
- Converting between vector types
- Reading Tabular Data files
- Reading CSV files
- Importing data from excel
- Loading and storing data with clipboard
- Accessing database
- Saving in R data
- Loading R data objects
- Writing data to file
- Writing text and output from analyses to file
- Selecting rows/observations
- Rounding Number
- Creating string from variable
- Search and Replace a string or Number
- Selecting columns/fields
- Merging data
- Relabeling the column names
- Data sorting
- Data aggregation
- Finding and removing duplicate records
- Apply Function Family
- Commonly used Mathematical Functions
- Commonly used Summary Functions
- Commonly used String Functions
- User-defined functions
- local and global variable
- Working with dates
- While loop
- If loop
- For loop
- Arithmetic operations
- Box plot
- Histogram
- Pie graph
- Line chart
- Scatterplot
- Developing graphs
- Cover all the current trending packages for Graphs
- Sentiment analysis with Machine learning
- C 5.0
- Support vector Machines
- K Means
- Random Forest
- Naïve Bayes algorithm
- Correlation
- Linear Regression
- Non Linear Regression
- Predictive time series forecasting
- K means clustering
- P value
- Find outlier
- Neural Network
- Error Measure
- Overture of R Shiny
- What is Hadoop
- Integration of Hadoop in R
- Data Mining using R
- Clinical research preface in R
- API in R (Twitter and Facebook)
- Word Cloud in R
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Training Features
Expert Trainers
Flexible Schedule
Industry Specific Scenarios
e-Learning Sessions
24/7 Support
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Reviews
I am Shruthika. I learned NodeJS through online here, the faculty was awesome who had industry experience and explained the various services available in NodeJS clearly. The course was delivered on time and we had a couple of days to explore other services in NodeJS. I would recommend this institute to my friend
I am Abhimanyu, completed the course Data Science in NareshIT where the environment was very good. My trainer is a very good person. His way of teaching was good truly useful for job seekers… Heartful thanks to my faculty and lab assistants too for making me an expert in Data Science
Hai, I am Bhavani. I have completed Java course in NareshITÂ It’s very useful for my career… Our tutor has more knowledge of Java His training was so wonderful.. Thanks to my faculty and the whole team
Such a good opportunity for me to enrich my career toward DevOps technology here. My trainer is really awesome with in-depth technology. He teaches me the whole concepts of placement support. Thank you so much, sir
SQL Server course got completed here… The instructor was trained well. He was a well-known person in this field… He clearly taught my queries at any time… Thanks to NareshIT
It’s a very nice Training center.I completed my Android course in this institute It’s very useful for my career and job. Trainers help us more to clear our doubts i am very satisfied with his company
