Data Science Training



Data Science Course


Data science is an extraction of knowledge from data in various forms, i.e. either structured or unstructured. The main goal is being to extract meanings from data and to produce data products by making use of scientific methods, processes and systems. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, and information technology, including signal processing, probability models, machine learning, statistical procedure learning, computer programming, data visualization, data warehousing, high-performance computing, hypothesis testing, clustering, decision trees, linear and logistic regression, R Studio, regression models, Hadoop, Spark, PROC SQL, SAS Macros and many more. These skills will help you to prepare for the role of a Data Scientist.


Data Science with R & Python



Python for Data Science:


This Data Science with Python course gives you how to read a CSV file, understand operators, variables, dictionaries, functions, and data structure in data science. With this Python for Data Science Course, you’ll learn the basic concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, and natural language processing. Python is a powerful open source programming language for statistical analysis, helps you with easy handling of data. Python is a required skill for many data science positions, so kick starts your career with this interactive, hands-on training course.



Data Science with R Programming:


Data Science with R programming gives you complete knowledge of the various data analysis techniques and also provides an in-depth understanding of the R language, R-studio, and R packages in the fields of research and academics. This data science training with R also includes various statistical concepts such as linear and logistic regression, cluster analysis, forecasting, and hypothesis testing. This data science training course is packed with real-time projects and case studies.



Data Science Course Content (Python / R Programming)



Audience:


There is a huge demand for skilled data scientists across all industries. This comprehensive IT training course is meant for professionals who aspire to build up their career or up-grade knowledge in Data Science. It will be a good career choice for both new and experienced professionals. This data science course is best suited for the following professionals.



Prerequisites:


There are no prerequisites for this data science training course. If you are new to data science, then this is the best course to start with. The Python course included with this program provides additional coding guidance.

Experience in Machine Language will help becoming Data Scientist. Understanding business and domain concepts would be an extra advantage. Basic R programming concepts will come in handy. Knowledge in Big Data would also be helpful.


Instructors:





Training Philosophy

Placement Process

Certification Process

ContactUs.com