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Data Science Bootcamp

4,601 Ratings

This Data Science Bootcamp with placement services will help you gain proficiency in Python Programming, Machine Learning, SQL, Big Data and other critical data science skills. Work on real-life projects and multiple hands-on assignments. Learn from proficient data scientists working in top MNCs. Receive personalized 1:1 Mentorship. Get placement services from Intellipaat for 12 months after course completion and only upon moving to the placement pool by clearing the Placement Readiness Test (PRT). Become certified data scientist with this immersive online bootcamp.

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Key Highlights

200 Hrs Instructor Led Training
153 Hrs Self-paced Videos
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
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Data Science Bootcamp Overview

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.

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.

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

55% Average Salary Hike

$1,20,000 Highest Salary

12000+ Career Transitions

500+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Course Fees

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 200 Hrs of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekend (Sat-Sun)

07 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

14 Dec 2024 08:00 PM - 11:00 PM
$1,755 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Data Science Bootcamp Course Curriculum

Live Course

Python Programming

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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 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, 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.

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
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Data Science Bootcamp Projects

Placement and Job Assistance

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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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Frequently Asked Questions

How will I get the Data Science Bootcamp graduation certificate?

First, you have to complete all the tasks, assignments, and 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.

3 technical 1:1 sessions per month will be allowed.

Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

No, our job assistance is aimed at helping you land 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 hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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