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Data Science

Data Science is the process of extraction of Actionable Insights from vast volumes of Raw Data i.e. both structured and unstructured.
It is a concept to unify statistics, data analysis, informatics, and their related methods in order to understand and analyze actual phenomena" with data. It uses techniques, methods, processes, algorithms,systems and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. It is related to data mining, machine learning and big data.
About the Program : The online course on data science is a one-stop solution for all your data science learning needs. It offers you complete guidance and tutorial with experience teachers, downloadable resources, hands-on learning experience and job/ internship consultancy.

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Why Data Science Program ?
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Excellent Instructors

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Post Program Facilities

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Complete Knowledge

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Excellent Instructors

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Post Program Facilities

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The instructor led Certification Training Program
Lec : 20 Hrs, Tut : 30 Hrs

Module 1: Python

Python is the most popular language used in Data Science. In this section, our instructors will take you through the basics of Python and areas where it can be used. You will learn how to use some of the popular tools for Data Analysis such as Numpy, Pandas, and Matplotlib. So Module 1 includes the following :

Lec : 20 Hrs, Tut : 30 Hrs

Module 2: Statistics

When working with data, the knowledge of statistics is necessary and an important skill set that you must have. In this module, you will learn :

Lec : 20 Hrs, Tut : 30 Hrs

Module 3: Inferential statistics

Inferential statistics allows you to make predictions ("inferences") from that data. With inferential statistics, you take data from samples and make generalizations about a population :

Lec : 20 Hrs, Tut : 30 Hrs

Module 4: Machine Learning Skills

Machine learning is a key component of any Data Science syllabus. It involves mathematics and algorithm models to help students understand how a machine learns and adapts to everyday changes :

Lec : 20 Hrs, Tut : 30 Hrs

Module 5: Text Mining and NLP

Text Mining or Text Analytics uses Natural Language Processing (NLP) to convert unstructured texts in the database and documents into normal and structured data that can be analyzed or used to drive machine learning algorithms. Concepts covered in this subject area: