Intellipaat's Data Science Bootcamp is the first and only Bootcamp in India that provides a job guarantee or a 100% refund. The sessions will be delivered online by proficient data scientists working in top MNCs. As part of this Bootcamp, you will master Data Science, Python Programming, Machine Learning, SQL, Statistical libraries, and Big Data in the first 6 months in which you will also work on real-world projects. Over the next 6 months, Intellipaat's learning manager will work with you in building resumes, preparing for mock interviews, etc., and guiding you to crack the data scientist job interview. If we are not able to get you a data scientist job, you will get your money back!
Intellipaat Data Science Bootcamp program stands out for its factual outcome, which can be measured by placement and job guarantee where the focus is on skill creation instead of knowledge sharing. Thus, upskill yourself with Intellipaat’s Data Science Bootcamp Program.
This program offers the following features:
Intellipaat’s Data Science Bootcamp is our most extensive training program designed to help learners build data science skills and get placed as a data scientist. As a learner, you can master data science with cutting-edge use cases/projects and learn how to apply your skills in real-world scenarios.
According to Livemint, the world is all set to see a fourth industrial revolution, and this time the technology that is going to change everything, from our lives to the kind of jobs available in the market, is Data Science.
According to Information Age, by 2020, it’s estimated that every human being is going to generate 1.7 MB of data every second!
According to Financial Experts, India by 2030 will be among the top leaders in AI-driven technologies.
Following China, which has invested around $21 billion in the AI research since 2017, the Indian Government is going to commit heavily in the Data Science domain.
Reliance Industries, one of the world’s biggest companies based in India, have invested close to 1000 crores in the AI industry and AI-based learning for schools and colleges.
There is an acute shortage of Data Science professionals right now, but with Data Science being taught in schools and colleges every working professional in the next 5 years would be expected to know Data Science.
According to the Economic Times, more than 50,000 Data Science and Machine Learning jobs are lying vacant in India due to the lack of trained professionals.
As per Glassdoor, the average salary of a Data Scientist is INR 1,040,000/year.
A skilled Data Scientist in India, with an average experience of 3–7 years, can earn up to INR 4,000,000/year in EMC2 corporation.
Big Data professionals, business intelligence and business analysts, information architects, statisticians, developers who want to master machine learning, and learners who want to take up data science roles in top MNCs.
In this course unit, you will learn Python programming, how to follow best coding practices, and how to use the powerful Python-based tool ecosystem.
Data wrangling or data transformation is an integral part of the Data Science process, that helps a learner perform a set of tasks to understand the data and prepare it for machine learning. This simple terminology happens to consume the maximum time of a Data Scientist, thus, extremely important, and indispensable.
Data, when organized and presented in a readable format presents a story that is easy to grasp. Thus, in contrast with the largely misunderstood technical bias that Data scientist has to bear every day, i.e., data science pertains to working with mathematical formulas, algorithms, and analysis. A data scientist is a modern-day storyteller, but with factual information. Don’t you want to be one? Couple with visualizations, you will awe the audience.
This particular unit is designed to help you learn from the fundamental to extensive concepts of data sets and how to use those to come up with valuable insights. You will be learning to draw techniques to reveal valuable stories (insights).
Inferential Statistics is used to infer (make generalizations) when a data set (sample) is large. It uses random data obtained from a sample to describe and infer the details of the sample. It is valuable while examining a large data set – when it is inconvenient (or impossible) to examine each data. Learning this concept can help you derive the key trends, dig deeper, and create predictive models.
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Parallel to the online classroom training, you will work on 14 minor projects and 2 Capstone projects, which are well-designed to help you understand, assess, and apply your data science learning in real-world scenarios. You will work with your mentor who will provide you data sets and problem statements. You will implement your learning to come up with reasonable solutions to each problem statements.
Our project-based learning is an important part of our Bootcamp where our instructors train learners to master the different facets of data science. Once you have completed the course and project, you will learn about the most commonly used data science tools, packages, and algorithms needed for the data scientist role, and more.
The minor project will give you the necessary skills and hands-on experience to create static/dynamic visualizations for data and models. You will also get familiar with the current Big Data tools, Hadoop stack, learn how to use and apply them in Big Data problem statements.
The minor projects will be on
In the middle of the course, you will complete your first Capstone project from start to finish. The project will test your Python programming skills, and after completing it, you will be a skilled coder in Python.
With the second Capstone project, you can apply and implement your knowledge of machine learning algorithms in real-world scenarios.
After the completion of the course, you will receive ongoing placement support for the next six months until you get a job. Our learning manager will show you how to evaluate company and job roles, how to crack interviews, and how to negotiate salaries and more.
Intellipaat course completion certificate will be awarded upon the completion of the project work (after expert review). Our alumni work in top companies like Amazon, IBM, Ericsson, Facebook, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Microsoft, Hexaware, etc.
First, you have to complete all the tasks, assignments, quizzes of the respective modules. In addition, you must demonstrate your data science skills by completing the Capstone projects that the instructor must approve. If you meet these two criteria, you will receive the certificate.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.
You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.
Intellipaat offers self-paced training to those who want to learn at their own pace. This training also gives you the benefits of query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for a lifetime. Also, you get the latest version of the course material at no added cost.
Intellipaat’s self-paced training is 75 percent lesser priced compared to the online instructor-led training. If you face any problems while learning, we can always arrange a virtual live class with the trainers as well.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.