Machine Learning
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Organizations today operate in a world surrounded by data, and data that is understood and analyzed smartly can play a pivotal role in determining the success of many businesses. Data Science, through its various inherent tools and techniques, is successfully adding value to all the business models by using statistics and deep learning to make better, more relevant and timely decisions. Understanding the dynamics of data and knowing how to deal with it has therefore become a critical skill in an organizational context. No wonder that Harvard Business Review has termed Data Scientist as the Sexiest Job of the 21st Century!
The objective of this course is to introduce participants to the intricacies of data science, and techniques of machine learning. This course will expose participants to hands-on experience of popular and in-demand tools in the BDA and ML area. Furthermore, it has been designed with an intention to impart practical problem solving skills to participants which in turn will enhance prospects of career growth.
Read LessOrganizations today operate in a world surrounded by data, and data that is understood and analyzed smartly can play a pivotal role in determining the success of many businesses. Data Science, through its various inherent tools and techniques, is successfully adding value to all the business models by using statistics and deep learning to make better, more relevant and timel Read More
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Lectures imparted by eminent faculty from IIIT Allahabad and Subject Matter Experts
Knowledge imparted through walkthrough, demonstrations and class exercises to develop hands-on skills
Opportunity to work on a Capstone Project as a part of the program
Program completely oriented towards imparting practical and application oriented knowledge
Opportunity to complete 1 month of professional Internship doing hands-on projects with TransOrg Analytics
Programming languages and tools covered include Python, Scikit Learn, Tensor Flow etc.
Two Campus Immersion modules of 3 days each, at the commencement and culmination of the program, that provides participants with an opportunity to experience the campus, meet the faculty and network with peers
Prerequisites
Data scientists must know how to code - start by learning the fundamentals of one of the most popular programming languages - Python.
Introduction to Python
Python basics
Python data structures
Python programming
Use of standard libraries - Working with Python packages which are specifically tailored for certain functions, such as:
Once you have the core skill of programming covered– dip your feet in the nitty-gritties of working with data, by learning how to wrangle and visualize them.
It is impossible to use data without knowledge of mathematics. Collect, organize, analyze, interpret, and present data using these concepts of mathematics specially probability, statistics and linear algebra.
Probability & Statistics
Linear Algebra
Machines have increased the ability to interpret large volumes of complex data. Combine aspects of computer science with statistics to formulate algorithms that help machines draw insights from structured and unstructured data.
Building Models Using Below Algorithms
Complex data sets call for simple representations that are easy to follow. Visualize and communicate key insights derived from data effectively by using tools like Matplotlib.
Go beyond superficial analysis of data by learning how to interpret them deeply. Use deep-learning nets to uncover hidden structures in even unlabeled and unstructured data using TensorFlow.
Lastly, manage your infrastructure with a data engineering platform like Spark so that your efforts can be focused on solving data problems rather than problems of machines.
This program includes two on-campus components of 3 days each which will take place at IIIT Allahabad campus. On Campus session 1 is tentatively scheduled towards end of July 2021 and On Campus Session 2 is tentatively scheduled towards end of May 2022. The final confirmed dates for On Campus sessions will be communicated in due course and is subject to Government advisory regarding Covid 19 situation. However, attendance to On Campus Component, when held, will be mandatory for all participants of this course.
Data scientists must know how to code - start by learning the fundamentals of one of the most popular programming languages - Python.
Introduction to Python
Python basics
Python data structures
Python programming
Use of standard libraries - Working with Python packages which are specifically tailored for certain functions, such as:
Once you have the core skill of programming covered– dip your feet in the nitty-gritties of working with data, by learning how to wrangle and visualize them.
It is impossible to use data without knowledge of mathematics. Collect, organize, analyze, interpret, and present data using these concepts of mathematics specially probability, statistics and linear algebra.
Probability & Statistics
Linear Algebra
Machines have increased the ability to interpret large volumes of complex data. Combine aspects of computer science with statistics to formulate algorithms that help machines draw insights from structured and unstructured data.
Building Models Using Below Algorithms
Complex data sets call for simple representations that are easy to follow. Visualize and communicate key insights derived from data effectively by using tools like Matplotlib.
Go beyond superficial analysis of data by learning how to interpret them deeply. Use deep-learning nets to uncover hidden structures in even unlabeled and unstructured data using TensorFlow.
Lastly, manage your infrastructure with a data engineering platform like Spark so that your efforts can be focused on solving data problems rather than problems of machines.
This program includes two on-campus components of 3 days each which will take place at IIIT Allahabad campus. On Campus session 1 is tentatively scheduled towards end of July 2021 and On Campus Session 2 is tentatively scheduled towards end of May 2022. The final confirmed dates for On Campus sessions will be communicated in due course and is subject to Government advisory regarding Covid 19 situation. However, attendance to On Campus Component, when held, will be mandatory for all participants of this course.
Established in 1999 as a center of excellence in Information Technology and allied areas, Institute was conferred the Deemed University status by Govt. of India in the year 2000.
In 2014 the IIIT Act was passed, under which IIITA and four other Institutes of Information Technology funded by the Ministry of Human Resource Development were classed as Institutes of National Importance. Recently, IIITA Prayagraj has instituted the Centre for Short Term Certification Programmes (CSTCP) with the primary aim of conducting online courses through suitable online platforms provided by various companies.
IIIT-Allahabad was ranked 119 in BRICS nation by the QS World University Rankings of 2019. Among government engineering colleges in India, IIIT-Allahabad ranked 10th by India Today in 2019 and 18 by Outlook India in 2019. It was ranked 82 among engineering colleges by the National Institutional Ranking Framework (NIRF) in 2019. IIIT-A is very famous for its placements and coding culture.
To learn more about financing your course, visit the course Financial Resources Hub
All applications for this course must be made through an Online Application Form.
In case payment is being made online through Credit Card/Debit Card, please ensure that you have the Credit Card/Debit Card with you at the time of filling out the Application Form. If you have opted to pay the Application Fee/Instalments of the Fee though Demand Draft/Pay Orders, then please ensure that the Demand Draft/Pay Orders for the applicable amount is made favoring “Arrina Education Services Private Limited” payable at Mumbai and is sent to the address provided below along with the downloaded copy of your Application Form. Please ensure that you write your Name, Course Name and Contact number at the back of your Demand Draft/Pay Order.
All Demand Draft/Pay Orders along with a downloaded copy of your Application Form must be sent to.
Student Relations Manager,
TALENTEDGE,
21, Institutional Area, Sector 32,
Gurgaon 122001, Haryana, INDIA.
The program fee is payable in instalments as per the instalment schedule provided. In the event of late payment of Instalment 1 or any other subsequent Instalments, a Late Fee is leviable as follows.
Cancellation by the Participant
Cancellation by the Talentedge & Institute Talentedge & the Institute, reserves the right to cancel courses at any time owing to reasons like insufficient enrolments, trainer indisposition or force majeure events. In the event that Talentedge or the Institute cancels a scheduled course, the student will receive full fee refund for the same. All refunds will be processed within 30 days of receipt of a valid refund request.
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