Data science course training hyderabad telangana

 Customized ONLINE Classes available.

The biggest challenge of the information explosion happening these days is the Data administration and management. Data Science course gets you the in depth understanding of statistical techniques for the data analysis. The course allows one to bring up their basic database knowledge and make it apply to the more advanced level of data science. The career of the future is Data Science which is a very much typically needed for the current data analysis of IT field.

 Get to know about the business analysis and business intelligence
 Data collection and data mining
 To learn working with Tableau
 Expertise in R-lang and data exploration to R
 Clear understanding of Decision trees.
 Detailed knowledge of the statistical tools for Data analysis
 Machine Learning
 Big data technologies

 To learn running non-parametric tests   

Career Prospects

To manage whopping amount of the data, data scientists are needed who are the most enthusiastic people. It is the undoubtedly emerging field in data analysis which has great link with the upcoming data software that are being prepared for the improvisation of data management.

 Data Analyst
 Data Scientist
 M/L engineer
 Data Science 

Career Prospects

To manage whopping amount of the data, data scientists are needed who are the most enthusiastic people. It is the undoubtedly emerging field in data analysis which has great link with the upcoming data software that are being prepared for the improvisation of data management.

 Data Analyst
 Data Scientist
 M/L engineer
 Data Science Lead

Who will learn this Course ?

Any graduate who wanst to learn how to apply machine learning to real world datasets.
Prerequisites are some programming, a bit of statistics, and machine learning theory.

Curriculum

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
Python Essentials for Data Science
 Introduction to NumPy

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