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Data Science Boot Camp

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!

Key Features

  • Online Instructor Led Training : 200 Hrs
  • Self-paced Videos : 153 Hrs
  • 100% job guarantee, else money back
  • 1:1 mentorship & mock interviews
  • 2 real-world Capstone projects

About Data Science Boot Camp Course

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:
  • Job guarantee in the Data Science domain; or 100% no-questions-asked refund
  • 6 months of friendly, but rigorous, training sessions followed by 6 months of placement training—thus, learning and career go hand in hand
  • 4 hours of online-classes every Saturday and Sunday—learn from anywhere without impacting your current job routine
  • 16 industry-specific projects (2 major Capstone Projects and 14 minor projects) which is equivalent to 6 months of industry exposure. This will be a major boost to your skills that you can showcase to your potential employers
  • Dedicated learning manager, who will keep a continuous track of your progress and reflect the areas you need to improve in
  • A well-curated Data Science Program, created and taught by Top Data Scientists from India and the US
  • Mock interviews from Data Science Professionals and 24/7 technical query resolution
  • No-nonsense content; our content focus on solving complex business problems using extensive applications of Machine Learning algorithms and implementing the same using Python and statistical libraries, along with hands-on exposure of leading Big Data technologies
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.

Why Data Science?

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.

What does this mean for you?

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.

Who should take this Data Science Bootcamp training?

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.

What are the prerequisites to enroll in this Data Science Bootcamp course?

  • Bachelor of Engineering degree or equivalent from an accreditation body
  • Fundamental knowledge of probability and statistics
  • Programming experience is a must

How will you get eligible for this Bootcamp?

  • Online Test containing statistics, probability, and basic programming
  • Personal interview

How does it work?

  1. Once you pass your online test and personal interview, your payment page will be unlocked
  2. Once payment is done, you will be confirmed a batch
  3. Comprehensive training for 6 months, every Saturday and Sunday (4 hours each day) will be provided to you
  4. 24/7 lifetime technical support/query resolution is offered to all the learners
  5. During the training, all 14 minor projects should be completed. This would be followed by 2 major projects, once the training is complete
  6. Once the training is complete, if you meet the eligibility criteria (i.e., more than 80% attendance in the live sessions and the completion of all major and minor projects), your placement training module will be unlocked
  7. Within 6 months from the starting of your placement training, you will be guaranteed a job

If no placements are given within 6 months from the starting of the placement training, you will be eligible for a 100% refund; no further questions will be asked.

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Data Science Boot Camp Course Content

Python Programming

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.

Covered topics:

  1. Python Pandas
  2. Matplotlib, Seaborn – Visualization Tools in Python
  3. Write clear, concise, performance-tuned, and readable code in Python using the PEP8 standard

Data Wrangling

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.

Covered topics:

  1. Python Pandas
  2. Working with Data from a variety of file formats like .txt, structured and nested formats, such as JSON and CSV.
  3. Working with database: Overview of RDBMS and NoSQL databases, and practice using SQL to query data
  4. Working with API: Data collection using API from Internet

Data Visualization and Analysis

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

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.

Covered topics:

  1. Inferential statistical theory
  2. Statistical significance
  3. Parameter estimation
  4. Hypothesis testing
  5. Correlation and regression
  6. Exploratory data analysis
  7. A/B testing

Machine Learning (ML)

Machine learning unites the key aspects of statistics and programming to derive useful insights and predictions. Learning ML can help you make predictions, recommendations, or generalizations to classify (find) groups and categories in complex data sets.

This module will make you understand the critical machine learning algorithms (supervised and unsupervised), usage of algorithms, what assumptions they contain, and more.

Covered Topics:

  1. Scikit-learn
  2. Supervised and unsupervised learning
  3. Machine learning techniques: naive Bayes, Linear, and logistic regression, decision trees, clustering, support vector machines,
  4. Ensemble learning with random forests and gradient boosting
  5. Machine learning best practices
  6. Evaluation and tuning of machine learning systems
  7. Testing of the solution

Data Science with Big Data

With this course module, you will learn how Apache Spark enables the processing of extended data and get to know how a data scientist helps businesses cut costs, improve product quality, find new opportunities, and more. All these are done by the use of cluster computing.

Covered Topics:

  1. Introduction to Big Data
  2. MapReduce
  3. Apache Spark & MLlib
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Data Science Boot Camp Projects

What projects I will be working on this Data Science Bootcamp training?

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.

Minor Projects:

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

  • SQL Data Manipulation
  • Python Data Manipulation
  • Web Scraping using Python
  • Random Forest
  • Logistics Regression
  • Time Series
  • PySpark and Spark MLlib
  • Data Visualization, and more

Capstone Projects:

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.

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Sample Data Science Boot Camp Video Tutorials

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Placement and Job Assistance

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.

Covered Topics:

  • Detailed analysis (briefing) of technology companies
  • Job search strategy through real-time examples
  • How to build networks and its use to land jobs
  • How to create high-quality resumes, LinkedIn profiles, cover letters, etc.
  • Interview preparation with mock interviews on technical/non-technical topics
  • Salary negotiations
  • Exercise interview questions
  • Help with coding interviews

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.

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Data Science Boot Camp Reviews

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  1. Shreyash Limbhetwala 

    Informative course curriculum

    First, the curriculum was well-designed that made it easy for me to learn each module. Second, the instructor was amicable and helped me cover each topic with real-time examples. However, the best thing about this Bootcamp training was Capstone projects. It allowed me to implement my learning in actual real-life scenarios.

  2. Nitesh Kumar Dash 

    100% recommended

    This course was extremely helpful in securing my dream job. Thanks, Intellipaat!

  3. Bhanukumar Muppalla 

    I have greatly improved my data science skills.

    Intellipaat Data Science Online Course is the best training I have ever had. I was unable to complete the online tutorial until I enrolled for the course. Now, after completing the program, I am proficient in all aspects of data science. I believe that your trainer is on par, if not best, with some of the best data scientists in the world.

  4. Swetha Pandit 

    Had an amazing learning experience!

    I completed a master's degree in data science architects at Intellipaat. What impressed me was the dedication of the instructor. He always made sure that I thoroughly mastered every concept. A big compliment to him.

  5. Prasil das 

    Immersive Course! Great Instructor

    I recently completed Intellipaat’s Data Science training, which helped me land a data scientist job. I would like to thank the instructor who helped me resolve my queries and also appreciate the learning manager who helped me crack the interview.

Frequently Asked Questions

How will I get the Data Science Bootcamp graduation certificate?

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.

What are the different modes of training that Intellipaat provides?
At Intellipaat you can enroll either for 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 making them subject matter experts. Go through the sample videos to check the quality of the trainers.
Can I request for a support session if I need to better understand the topics?
Intellipaat is offering the 24/7 query resolution and you can raise a ticket with the dedicated support team anytime. You can avail the email support for all your queries. In the event of your query not getting resolved through email we can also arrange one-to-one sessions with the trainers. You would be glad to know that you can contact Intellipaat support even after completion of the training. We also do not put a limit on the number of tickets you can raise when it comes to query resolution and doubt clearance.
Can you explain the benefits of the Intellipaat self-paced training?
Intellipaat offers the self-paced training to those who want to learn at their own pace. This training also affords you the benefit of query resolution through email, one-on-one sessions with trainers, round the clock support and access to the learning modules or LMS for lifetime. Also you get the latest version of the course material at no added cost. The Intellipaat self-paced training is 75% 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.
What kind of projects are included as part of the training?
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 a real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning and practical knowledge thus 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. Upon successful completion of the projects your skills will be considered equal to six months of rigorous industry experience.
Does Intellipaat offer job assistance?
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 like Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation part as well.
Is it possible to switch from self-paced training to instructor-led training?
You can definitely make the switch from self-paced to online instructor-led training by simply paying the extra amount and joining the next batch of the training which shall be notified to you specifically.
How are Intellipaat verified certificates awarded?
Once you complete the Intellipaat training program along with all the real-world projects, quizzes and assignments and upon scoring at least 60% marks in the qualifying exam; you will be awarded the Intellipaat verified certification. This certificate is very well recognized in Intellipaat affiliate organizations which include over 80 top MNCs from around the world which are also part of the Fortune 500 list of companies.
Will The Job Assistance Program Guarantee Me A Job?
In our Job Assistance program we will be helping you land in your dream job by sharing your resume to potential recruiters and assisting you with resume building, preparing you for interview questions. Intellipaat training should not be regarded either as a job placement service or as a guarantee for employment as the entire employment process will take part between the learner and the recruiter companies directly and the final selection is always dependent on the recruiter.
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