Job Guarantee with our Training Program or 100% of your course fees refunded
The Data Science e-Learning platform aims to educate course participants on some of the fundamental concepts in machine learning, data science, and artificial intelligence (AI) that will allow them to move from a real-world business challenge to a first-cut, functional, and deployable AI solution to the problem. This course is intended to meet the requirements of students who are pursuing their master's degree in a foreign university. The major goal of this course is to assist participants in developing real-world artificial intelligence solutions utilizing the skills they gain in this course. Rather than an academic or theoretical approach, the emphasis of this course will be on practical expertise. That does not imply that we would compromise on the content. As part of the course, we will work on more than ten case studies of real-world Data Science challenges in order to assist students to understand the practical aspects of developing AI solutions. We would present examples for each algorithm in artificial intelligence to help with intuition and to demonstrate how the idea may be used in the actual world. Students may finish the course at any time over the course's validity term of 365 days, depending on their availability and ability to work at their own pace. The course will take 4-6 months to complete, including the internship taking up to 3 months of the total time frame. Job Guarantee/Placement Assistance Eligibility: To qualify for the job guarantee/placement assistance you must have completed all the course content, assignments, case studies, internship and personal projects within the first six months or 180 days from your start date. Once you have completed all the required learning, you’ll be eligible for our job guarantee/placement assistance program. This is subject to you not defaulting on any of the above, as well as working alongside our recruitment team. If no job interview is provided then we will refund 100% of your money minus the cost of the taxes. Our job guarantee program is applicable only in the USA at the moment. In the UK, Canada, and Australia, we are only offering 100% placement assistance with our program. For more details refer to out Terms and Conditions page.
1. This course is valid for a period of 365 days from the date of enrolment. 2. This course is completely taught in the Telugu language. 3. Only two devices will have access to each account to ensure security. (You can only access the course from two devices.) 4. Our support team will respond to your queries within 24 hours, at the most. 5. Furthermore, after the conclusion of the theoretical lectures, participants will be offered a three-month internship opportunity.
This module includes the introduction lectures and basic installations of the tools that are used during the course.
This module introduces the basics of Python programming language. This module is designed for absolute beginners.
This module focuses on introducing the Data Science packages to the students. Tools such as NumPy, Pandas, Matplotlib, Seaborn are covered in this module.
This module focuses on understanding of analysing the data using various visualizations. Students will learn to interpret the patterns from the data during this module.
A key concept of Principal Component Analysis is discussed in this module. This module is focused on learning how to handle the data with higher dimensions and how to reduce the dimensions.
In this module, we will focus on understanding different machine learning algorithms in geometric perspective. Along with the theory sessions, practical approach for implementing the algorithms is explained in this module.
This module will help students learn on how to handle the text data and feed it to the Machine Learning algorithms.
Advanced topics of Deep Learning are covered in this module. Theory sessions followed by practical approaches will be discussed in this module. Tools like Keras and Tensorflow will be taught as part of this module.
In this module, we will discuss on building your portfolio using GitHub, LinkedIn, CV. Apart from these, we also help you learn the approaches towards handling the non-technical rounds in the interviews.
