Data Science online & Classroom Training

Upcoming Batches

Batch Type Date Time (IST)
Weekday Saturday 10:00 AM
Weekday Sunday 10:00 AM
Weekday Wednesday 08:00 AM

Request for Demo

Training Mode: ClassroomOnline

About Data Science Course

This course gives you a clear understanding about work in big data analytical tool R and how to analyse big data. We are covering basics of Data mining, Machine learning, Hadoop in R, Statistics, Twitter API in R. In advanced we are helping to deep understanding of R Shiny (Web Application Framework). Gives perceive knowledge of clinical research in R. IT Corp Analytics is one among very few companies that offer Data Science training. Data administration and management being the biggest challenges of the information explosion happening these days, this data science course gets the deeper and yet knowledgeable course for the data analytics professionals. The course allows one to bring up their basic data base knowledge and make it apply to the more advanced level of data science which is a very much typically needed mindset for the current data analysis of IT field. IT Corp Analytics is one of the leading companies that offers Data Science training in Hyderabad.

Primary objectives of this Course

Data Sciences Course at IT Corp is designed to meet the ever increasing needs of the IT industry. Our courses are designed by the best faculties with great deal of industry experience. We ensure our curriculum is built with up-to-date contents and all the topics within the program and supported with multiple real-time case studies to help students understand the subject more precisely and also practice in a better way. The training program ensures the students masters all the important aspects of data science like R programming, Machine learning, Leading topics and many more. This helps students to get industry ready for the Data Science Technologies.

How will Data Science Training help your Career?

Data Sciences are the latest and the most sought after technology today in the market. With the ever increasing demand of artificial intelligence, real-time analytics and other analytics reporting gaining traction, the need for data science engineers and IT professionals are hitting the roof. IT Corp understands this potential and helps student gain relevant industry knowledge to excel in their career goal.

Who Should do this Course ?

  • Data Scientist
  • Data/Web analyst
  • Statisticians
  • Hadoop Professionals who want to learn R and ML techniques

Data Science Curriculum

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
  • 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)
  • Word Cloud in R

Frequently asked questions

Who is my Instructor?

Stupendous expert in analytics field who understands the learner constraints and bring out in technical as well as subject matter experts.

Can I attend a demo session?

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

How about group discount (or) corporate training for our team?

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

What are the payment options?

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal
Where do our Data science learners and trainers coming from?

We are providing Data Science online training, One-to-One training with the help of experts. Our learners and trainers are frequently coming from different countries like USA, India, UK, Australia, New Zealand, Canada and UAE. To specify in cities London, Bangalore, California, New York, Pune, Mumbai, Chennai, New Delhi, San Francisco, New Jersey, Texas, Florida, Kolkata, Gurgaon, Berlin and Hyderabad among many.

I have more queries?

If you are looking for Data Science Online Training Please Contact us through +91-951 559 2007 , +91-951 559 4007 / +91-951 559 5155. Or you can share your quires through .Estimated turnaround time will be 24 hours for emails.