Data Science With R Programming

Data Science with R programming certification training covers data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language.

Advanced 0(0 Ratings) 0 Students enrolled English
Created by leo trainings
Last updated Sat, 09-Jul-2022
+ View more
Course overview

About Data Science?

Data science can be defined as the fusion of mathematics, business awareness, tools, algorithms, and machine learning techniques. All of these can help you find hidden insights and patterns from the original data. These insights and patterns are of great help to the formation of large companies. IBM is recognized as a leader in the Magic Quadrant for Data Science and Machine Learning in 2021 students will learn integrated blended learning and become experts in the fields of artificial intelligence and data science. This data science program works with IBM to enable students to solve artificial intelligence and data science tasks in the industry.

Data scientists are in short supply. Data scientists understand business issues, design data analysis strategies, collect and format the data they need, use the right tools to apply algorithms or techniques, and make data-supported recommendations. Need to be created.

We provide real time instructor job oriented online training with PYTHON, Datascientist with R  in-depth knowledge on Data Science, real-time analytics, statistical computing, SQL, parsing machine-generated data and finally the domain. In data science training, you can use R to gain expertise in machine learning algorithms, such as K-Means clustering, decision trees, random forests, and Naïve Bay. Data science training includes an overview of statistics, time series, text mining concepts and deep learning. Throughout the data science curriculum, we will implement practical use cases

 

What will i learn?

  • Gain an in-depth understanding of data structure and data manipulation
  • Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
  • Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
  • Gain expertise in mathematical computing using the NumPy and Scikit-Learn packages
Requirements
  • Beginners or Recent Graduates in Bachelors or Master’s Degree
  • IT Professionals
  • Banking and Finance Professionals
  • Supply Chain Network Managers
  • Analytics Managers
  • Business Analysts
Curriculum for this course
0 Lessons 00:00:00 Hours
Data Science Training Course Content
0 Lessons 00:00:00 Hours
Data Science Training Demo Video
0 Lessons 00:00:00 Hours
Introduction to Data Science with R
0 Lessons 00:00:00 Hours
Data Exploration
0 Lessons 00:00:00 Hours
Data Manipulation
0 Lessons 00:00:00 Hours
Data Visualization
0 Lessons 00:00:00 Hours
Introduction to Statistics
0 Lessons 00:00:00 Hours
Machine Learning
0 Lessons 00:00:00 Hours
Logistic Regression
0 Lessons 00:00:00 Hours
Decision Trees and Random Forest
0 Lessons 00:00:00 Hours
Unsupervised Learning
0 Lessons 00:00:00 Hours
Association Rule Mining and Recommendation Engines
0 Lessons 00:00:00 Hours
Introduction to Artificial Intelligence
0 Lessons 00:00:00 Hours
Time Series Analysis
0 Lessons 00:00:00 Hours
Support Vector Machine
0 Lessons 00:00:00 Hours
Naïve Bayes
0 Lessons 00:00:00 Hours
Text Mining
0 Lessons 00:00:00 Hours
+ View more
Other related courses
Student feedback
0
0 Reviews
  • (0)
  • (0)
  • (0)
  • (0)
  • (0)

Reviews

For Live Training : Click Here
Self faced Price : ₹20000 ₹14999
Includes: