Data Science Training
Data Science Training in Bangalore
Dsm Infotech , Bangalore is a leading training institute providing real-time and placement oriented Data Science Training Courses in Bangalore. Our Data Science training course includes basic to advanced levels. we have a team of certified trainers who are working professionals with hands on real time Data Science projects knowledge which will provide you an edge over other training institutes.
Our Data Science training center is well equipped with lab facilities and excellent infrastructure for providing you real time training experience. We also provide certification training programs in Data Science Training. We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion of the course. We provide placement support for our students.
Our team of experts at Dsm Infotech Training Institute, Bangalore have designed our Data Science Training course content and syllabus based on students requirements to achieve everyone’s career goal. Our Data Science Training course fee is economical and tailor-made based on training requirement.
We Provide regular training classes(day time classes), weekend training classes, and fast track training classes for Data Science Training in our centers located across Bangalore. We also provide Online Training Classes for Data Science Training Course.
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Data Science Course Syllabus
Introduction to R:
- What is R?
- Why R?
- Installing R
- R environment
- How to get help in R
- R Studio Overview
Understanding R data structure:
- 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
Importing data:
- 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
Manipulating Data:
- 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
Using functions in R:
- 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
R Programming:
- While loop
- If loop
- For loop
- Arithmetic operations
Charts and Plots:
- Box plot
- Histogram
- Pie graph
- Line chart
- Scatterplot
- Developing graphs
- Cover all the current trending packages for Graphs
Machine Learning Algorithm:
- Sentiment analysis with Machine learning
- C 5.0
- Support vector Machines
- K Means
- Random Forest
- Naïve Bayes algorithm
Statistics:
- Correlation
- Linear Regression
- Non Linear Regression
- Predictive time series forecasting
- K means clustering
- P value
- Find outlier
- Neural Network
- Error Measure
Leading Topics:
- 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)