Tuesday 25 December 2018

Data Science Training Institutes in Hyderabad





Training Institutes in Hyderabad  is a global IT training services provider and pioneers in providing comprehensive IT training, meeting the latest trends of IT industry in the verticals of Programming, Data-warehousing, ERPs, CRMs, Testing Tools, Hardware, Networking, Web Design & Development, Multimedia and Animation, Banking & Finance, Retail etc.

Data Science Training Institutes in Hyderabad  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.

 To know about the business intelligence and business analysis
 To understand the descriptive statistics of Data analysis
 To excel working with Tableau
 To get introduced to R and data exploration to R
 Understand to create Decision trees.
 To understand Data collection and data mining
 Know the importance of big data technologies
 To get the prior idea about the Loop functions and debugging tools
 To learn running non-parametric tests



    Introduction to Data science
     What is data science?
     How is Data Science different from BI and Data Analyst
     Who are Data Scientist?
     What skill sets are required to become a Data Scientist ?
     What is machine learning?
     Statistics and Mathematics for Data Science
    Introduction to Python
     Introduction to Anaconda
     Installation of Anaconda Python Distribution – For Windows, Mac OS, and Linux
     Jupyter Notebook Installation
     Jupyter Notebook Introduction
     Variable Assignment
     Basic Data Types: Integer, Float, String, None, and Boolean; Typecasting
     Creating, accessing, and slicing tuples
     Creating, accessing, and slicing lists
     Creating, viewing, accessing, and modifying dicts
     Creating and using operations on sets
     Basic Operators: ‘in’, ‘+’, ‘*’
     Functions
     Classes and Objects
     Packages
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