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Data Science Bootcamp

Learn Data Science,
Build In-Demand Tech Skills Create a Job-Ready Portfolio Wrangle Massive Data Sets
And Get Hired as a Data Scientist

Land lucrative offers with an average salary of ₹ 12 Lakhs per year

Enterprise Training for Teams :

Avail up to 25% scholarship

Data Science Bootcamp Become a Sought-After Data Scientist

Are you looking to build solid tech skills and land a job as a skilled Data Scientist at one of the world’s best tech companies? Do you want to kickstart a career as a freelance Data Scientist helping companies harness the predictive power of data? Are you looking to launch a data service or product as an entrepreneur? Look no further than the Cambridge Infotech Data Science Bootcamp.

Our revamped Data Science Bootcamp Program features expertly crafted streaming sessions. These sessions are not mere recordings; they are a culmination of meticulous planning and execution, ensuring the best possible learning experience. With content created by top instructors and program creators, our streaming sessions promise unparalleled clarity and engagement.

Whether you have some background in programming or none at all, our carefully curated bootcamp, designed by industry experts, will equip you with all the real-world tech skills you need to crack interviews and become a sought-after Data Scientist. By the end of the intense 18-week immersive learning program, you will learn to explore, clean, analyze and predict data, and showcase your skill in predictive modeling, pattern recognition, data visualization, and wrangling massive data sets to forecast trends and inform strategy.

The program’s key highlights include 110 hours of streaming sessions, 50 hours dedicated to live interactive doubt resolving, and 25 hours of master sessions for practical application and interview preparation. Our streaming sessions stand out for their expert design, engaging delivery by renowned instructors, rigorous quality assurance, rich content with illustrative examples, and a stellar average rating of 4.8/5. Doubt-resolving sessions serve as a cornerstone, addressing individual queries, fostering cohort learning, and encouraging meaningful interaction.

Master sessions focus on real-world project building and interview preparation. Additionally, instructor-led sessions, led by experts, offer insider tips and personalized learning. This Data Science Bootcamp is meticulously designed to prepare you for success in the tech industry, providing the skills and support needed for a thriving career as a self-sufficient and versatile software developer.

Dive into Python, SQL, data analysis, and statistical modeling. Then, branch into Machine Learning with algorithms of increasing complexity, from decision trees and random forests to natural language processing and neural networks. Master data mining techniques to get insights from data to solve real-world problems and learn to employ cutting-edge tools and technologies to build Deep Learning and Natural Language Processing models to analyze Big Data.

As the most comprehensive program available, not only will the Cambridge Infotech Data Science Bootcamp make you confident of taking real-world Data Science problems head-on and coming up with the most appropriate solutions, but you will receive all the career and placement support you need to land a job as a Data Scientist. In addition, you will have built solid skills to take on a variety of job roles in the Data domain including Data Analyst, Data Engineer, Data Architect, Data Storyteller, Machine Learning Scientist, Machine Learning Engineer, Business Intelligence Developer, Database Administrator and Business Analyst among others.

Our power-packed project-based immersive learning program features best-in-class training, on-demand learning, plenty of hands-on exercises and assignments with Cloud Labs, industry case studies, real-world projects, career coaching, mock interviews, hackathons, guest lectures by industry experts as well as training to help you nail tough technical interviews with Data Structures and Algorithms.

Highlights

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Master the Latest Tools

Ride the Wave of High Demand for Data Scientists

Tuition Fee and Training Options

Get ready to land a tech job with our dedicated Job Preparation Support.

Get all the support you need to get placed in a Data Science job within 6 months.

Blended Learning (Instructor-Led Sessions)

Next Cohort 29-Mar-2024

40% off

1

Full Payment on Desk

Pay Full Payment at single shot and avail 20 % Offer Only for Single Shot Payment

INR 1,00,000

Total Course Fees
INR 72,000

Pay Only ₹57,600 as single shot payment as 20% Offer

2

Payment on EMI

Pay it in EMI Options

INR 1,00,000

Total Course Fees INR 72,000
As low as ₹12,000/month in EMI

3

Combo Course
Data Science +
Artificial Intelligence

Pay for combo course and save on tuition fee

INR 1,00,000

Total Course Fees (DS+AI)
INR 92,000

As Combo Course
Pay Only ₹ 82,000

Self Paced Learning (On Your Own Schedule)

Next Cohort 29-Mar-2024

Full Payment on Desk!

INR 57,600INR 72,00

You can enroll for this course at an EMI of

INR 12,000/month

The Cambridge Infotech Advantage

The most effective project-based immersive learning experience

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On-demand videos                       Guided hands-on exercises
Assignments and projects

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Learn to code. By actually coding.                               Get project-ready with work-like experiences.
Learn on the job, like devs in tech companies.

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Access fully provisioned dev environment.         Virtual machine spinned up in minutes.
Write code right in your browser.

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Get advanced learner insights.     Measure and track skills progress.
Identify areas to improve in.

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On-demand, self-paced learning anytime.     Code review sessions by experts.
Access to discussion forums, community groups.

Prerequisites

  • Programming: Knowledge of programming fundamentals is good to have, but not mandatory.
  • Mathematics: Basic knowledge of programming and high-school level math (functions, derivatives, systems of linear equations) is beneficial, though not mandatory.
  • Logical Thinking: The right aptitude, logical thinking, and drive for curiosity are all you need—leave the rest to us!

Who Should Attend the Data Science Bootcamp

Impress Recruiters With a Stellar Project Portfolio

Build professional projects like the top 1% of Data Scientists and create a solid, job-worthy portfolio worthy of Tier 1 companies. Land your dream job as a Data Scientist with ease. Here’s a peek at some of the projects you’ll be able to build

Health Care

Data science in healthcare enables early disease prediction, personalized treatments, and enhanced diagnostics through advanced analytics and AI. It transforms patient care by leveraging medical data for improved outcomes and efficient decision-making.

Finance

Data science enhances fraud detection, market trend prediction, and investment optimization using machine learning and real-time data analysis. It ensures better risk management and financial planning.

Manufacturing Industry

Data science in manufacturing enables predictive maintenance and quality control by analyzing data from IoT sensors and production systems. It reduces downtime and improves product reliability.

Agriculture

Data science in agriculture enables precision farming by analyzing data from soil sensors, weather patterns, and crop health. It improves yields, reduces waste, and optimizes resource usage.

Transportation

Data science optimizes traffic management, enhances route planning, and enables autonomous vehicle systems. It improves efficiency and safety in mobility services.

Telecommunications

Data science in telecommunications enhances network optimization, customer churn prediction, and service personalization. It ensures better connectivity and improves customer satisfaction.

What You Will Learn

  • Programming and Web Essentials Start from the basics and learn to build advanced data science solutions.
    1
  • MS Excel Basics Learn MS Excel fundamentals like cell references, formatting options, applying formulas, and interpreting data visually.
    2
  • Math and Stats Foundation Build a foundation with basics of probability, statistics for data science, linear algebra, and calculus.
    3
  • SQL Basics Understand database concepts, interact with relational databases, and perform basic SQL queries to retrieve data.
    4
  • Artificial Intelligence Start from the basics and learn to build advanced artificial intelligence solutions.
    5
  • Python for Data Science Perform advanced operations on data and generate statistical inferences using Pandas and NumPy.
    6
  • Machine Learning Create Machine Learning models to solve problems across domains, and understand regression use-cases.
    7
  • Deep Learning Understand neural network structures and learn to use Python, TensorFlow, and Keras to implement CNN, RNN.
    8
  • Natural Language Processing Learn NLP pipeline with with different libraries such as NLTK, Spacy, TextBlob, Gensim, Pattern, and Stanford CoreNLP.
    9
  • Data Structures and Algorithms Get familiar with major algorithms and data structures such as quicksort, mergesort, balanced search trees, hash tables.
    10

Tech Career Launch Prep

Get ready to apply all the skills you learn through the boot-camp to ace technical interviews and land your dream job as a Data Scientist

Career Planning and Coaching

Interview Preparation

Dedicated Job Support

Data Science Bootcamp Curriculum

Learning Objectives:

Get introduced to the fundamentals of MS Excel along with the formatting concepts and formulas and Statistical Analysis using Excel. 

Topics: 
  • Formatting Concepts 
  • Formulas in Excel 
  • Statistical Analysis 
  • Introduction to Other Features 

Learning Objectives
Understand the first principles of computer programming, learn the meaning and utility of algorithms, loops and flow charts, and how computers, operating systems and the World Wide Web works.

Topics:

• Basics of Programming
• Programming Concepts
• Data Storage and Files
• Operating Systems
• World of Web
• Programming Languages

Learning Objectives:

Understand the fundamental concept of a database and learn how a Relational Database stores data. Learn to perform advanced data analysis by mastering SQL.

Topics:
 

  • What is SQL and Why is it Important?
  • SQL Database Admin Commands
  • The Basics of SQL Query
  • Filtering Data Using WHERE Clause in SQL 
  • Aggregation and Summary Functions in SQL

Learning Objectives:

Learn the basics of storing, manipulating, and retrieving data stored in a relational database to advance analysis of data making efficient analysis.

Topics:

  • Miscellaneous Analysis in SQL
  • Table to Table Relationship in SQL
  • Combining Tables 
  • Advanced SQL Data Analysis 
  • Making Efficient Analysis

Learning Objectives:

Master Python, starting with the fundamentals and go on to understand different data types and data structures. Learn flow control, how to use predefined functions and how to handle errors. Understand basic and advanced visualizations using Matplotlib, Seaborn and Plotly.

Topics:
  • Installation and Set Up
  • Code and Data 
  • Building Blocks
  • Strings
  • Data Structures
  • Flow Control

Learning Objectives:

Understand how to perform outlier analysis, learn Lambda functions and OOPs and how to scrape data. 

Topics:
  • Functions
  • Modules
  • Files
  • Lambda functions, Error, and Exception Handling
  • OOPs

Learning Objectives:

Understand linear algebra and calculus and their applications in Data Science

Topics: 
  • Linear Algebra
  • Calculus

Learning Objectives:

Get a comprehensive understanding of Machine Learning and Linear Regression, one of the simplest algorithms for doing supervised learning. 

Topics:
  • Introduction to Machine Learning, Supervised Vs Unsupervised, Simple Linear Regression - Slope, Intercept and Their Interpretation
  • How to find the Beta Coefficients, OLS Method 
  • Multiple Linear Regression 
  • Model Evaluation and Model Performance Metrics for Regression
  • OLS Assumptions

Learning Objectives:

Strengthen your fundamentals of Natural Language Processing. Get hands-on experience with TexBlob and then move on to Spacy, a far more advanced library to implement NLP tasks.

Topics:
  • Introduction to NLP 
  • Essentials of NLP 
  • NLP Feature Extraction
  • NLP with Textblob
  • NLP with Spacy
  • Text Classification
  • Text Summarization
  • Topic Modeling

Learning Objectives:

Learn the applications of Natural Language Processing in performing sentiment analysis and creating chatbots. 

Topics:
  • Sentiment Analysis 
  • Chatbots

Learning Objectives:

Gain a solid understanding of Deep Learning, TensorFlow, and how Neural Networks work.

Topics:
  • Diving deep into Deep Learning
  • Getting Started with TensorFlow
  • Convolutional Neural Networks

Learning Objectives:

Learn about Generative Adversarial Networks and some of its applications. Understand the application of AI in the real world. 

Topics:
  • Advanced CNNs
  • Natural Language Processing
  • Generative Adversarial Networks (GANs)
  • AI in the Real World

Frequently Asked Questions

The Data Science Bootcamp Program is a specialized training course aimed at individuals aspiring to excel in Data Science. It uniquely combines live instructor-led sessions along with live interactive doubt resolving and master sessions for a holistic learning experience in addition to self-paced learning and plenty of hands-on practice and project-based learning. 

By the end of this 16-week immersive learning bootcamp program, you will be able to face real-world Data Science problems and come up with the most appropriate solution with the skills to explore, clean, analyze and predict data. 

In particular, you will build the skills to: 

  • Perform Data Analysis using a wide variety of tools such as Python, SQL, and Tableau
  • Extract data from databases and perform Data Analysis to get meaningful insights
  • Apply quantitative modeling and data analysis techniques to find solutions to business problems
  • Build the ability to effectively present results using data visualization techniques
  • Master statistical  data analysis  techniques  utilized  in  business  decision making
  • Apply Machine Learning Algorithms to help Businesses make predictions
  • Use data mining techniques to get insights from data to solve real-world problems
  • Employ cutting-edge tools and technologies to analyze Big Data
  • Use different Deep Learning frameworks to build real-world AI applications
  • Use  Natural Language  Processing  to  build  Chatbots  and  Sentiment  Analysis  along with many other applications to process text data

 

Along the way, you’ll put together a compelling professional-grade project portfolio that you can showcase to potential employers and collaborators. Complete the course and acquire job-ready tech skills to land a job as a Data Scientist.

Our program is ideal for those who are looking to build a strong foundation in Data Science, prefer a mix of self-paced and interactive learning, and value high-quality, expert-driven content. If you're seeking comprehensive training with a blend of theory and practical application, this program is a perfect choice.

The Data Science Bootcamp is designed to provide job-ready skills to learners from even non-tech backgrounds. After completing this course, you can become industry-ready and land Data Scientist roles in top organizations. At Cambridge Infotech, we take several measures to ensure that you get a job by the end of the Bootcamp: 

Two critical goals of this Bootcamp: 

  • Providing you with comprehensive Data Science Knowledge including the skills to explore, clean, analyze and predict data 
  • Arming you with a complete understanding of Data Structures, Algorithms, and System Design, which is crucial for cracking job interviews

How we ensure that you achieve these critical goals: 

  • Instructor-led sessions with industry experts who will provide demos to ensure concept clarity
  • Detailed content around all the critical concepts and programming languages in the form of videoshands-on exercisesassessments, reading material, and assignments
  • Sufficient time and effort towards practicing these concepts via Cloud Labs that allows you to code right from your browser
  • Weekly doubt-clearing sessions with experts that can help you close any gaps in understanding of Data Science related knowledge
  • Timely assessments and the ability to track progress with real-time reports that help you stay on track with the Program
  • Dedicated Student Success Managers monitor your progress and guide you toward achieving critical goals
  • You will build Predictive, Deep Learning, and NLP models that help you create a power-packed portfolio you can showcase to potential recruiters
  • Hackathonscoding challenges, and 1-on-1 mock interviews with Data Science experts that will help you ace your interviews
  • Master analyzing problems and writing program solutions to problems with data structures and algorithms

Demonstrable skills are best developed during work-like experiences and building real-world capstone projects through the bootcamp. By the end of the program, you will have job-ready skills and be ready to hit the ground running to take on a variety of job roles in the Data domain.

On completing our Data Science Bootcamp, you will be ready to take on a variety of job roles in the Data domain including:

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Data Architect
  • Data Storyteller
  • Machine Learning Scientist
  • Machine Learning Engineer
  • Business Intelligence Developer
  • Database Administrator
  • Business Analyst

This bootcamp for data science is completely beginner friendly. There are no prerequisites to attend this bootcamp, and all learners with the right aptitude, logical thinking, drive for curiosity, and propensity to learn new skills can ace the Program and emerge with job-ready skills. 

At Cambridge Infotech, your tuition is a gateway to a comprehensive set of features within the Data Science Bootcamp, ensuring a holistic and enriching learning experience. Here's a breakdown of what you can expect: 

  • Instructor-led sessions by industry experts
  • Live doubt-clearing sessions on a regular basis
  • On-demand videos to help you learn anytime, anywhere 
  • Cloud Labs enabled practice right from your browser 
  • Comprehensive reading material for concept clarity 
  • Mock Interviews by top industry experts to crack job interviews 
  • Hackathons for practical coding practice 
  • Dedicated Placement Support
  • Access to the KnowledgeHut Community for lifetime support 
  • Connections with a professional network of instructors

Additionally, you will participate in live sessions throughout the bootcamp, including:

  1. Live Interactive Instructor-Led Sessions: 110 hours
  2. Live Doubt-Resolution Sessions: 50 hours
  3. Live Masterclass Sessions by Industry Experts: 35 hours

These live sessions serve as invaluable opportunities for interactive learning. Our experienced instructors and mentors will not only share theoretical knowledge but also provide practical applications of concepts and skills within a real-world context.

Our instructors and mentors are highly qualified practitioners with decades of valuable industry experience. Instructors lead engaging sessions, and mentors are assigned to individuals, providing personalized one-on-one assistance with assignments, projects, and challenges.

Yes, you can switch the start date of your Bootcamp training with prior notice of at least 24 hours, subject to availability in the desired batch.

A data science bootcamp course can be one of the quickest ways to start your career. If you want to join a data science bootcamp, you definitely need to consider these. Firstly, you need to set your learning goals and then also prepare or understand the basics before starting the bootcamp. You should also consider if you will be able to keep up with a fast-paced curriculum. You should also balance your ambition with realistic goals and check the success rate of the course with the alumni’s data science bootcamp review. These factors will surely help you find the best data science bootcamp easily.

Yes, even without any technical background, a data science bootcamp can definitely help you get into the career field of data science. These programs can help you learn everything you need to start your career. This includes programming languages, data analysis tools, and techniques of machine learning. You will also have to see the reputation of the Bootcamp and the experience of the trainers in it. But the most important thing to do before you choose the best data science bootcamps online is to understand basic programming languages like Python or R.

When you join a data science part-time bootcamp, you can easily learn the skills and stay updated with the trends. You can achieve this by using different strategies. This is because of the constant updates of curriculum and collaborating with experts from the industry. The strong culture of lifelong learning at Bootcamp always provides you with proper resources and opportunities to network with the people in this industry. Bootcamps also help you stay updated by letting you work on hands-on projects. Very often they also make sure to keep developing the members of their faculty.

Usually, online data science bootcamps comparatively cost less than the ones held offline. This happens mostly because data science bootcamps online schools don't pay for things like renting a space, etc. Also, they can teach more students at once, so they can share the data science bootcamp cost among more people. The price can still change depending on how long the program is, what they teach, and the location. Some bootcamps also have facilities for scholarships that can help get into a data science free bootcamp if you have budget issues. So, these things generally make data science bootcamp online cheaper. Make sure you consider everything else when making a decision.

It could be a little difficult to choose between a Data Scientist bootcamp and a master's degree as it entirely depends upon your goals and needs. A Master's degree can be expensive and run on a fixed schedule, but you will be exposed to a wide network and get recognition based on the credential. On the other hand, a bootcamp is cheaper, faster, and more flexible, but it may not hold a strong value like a master's degree. A master's degree can be helpful to you if you are new to the field. If your requirement is to learn and gain experience fast, a bootcamp can be a good choice.

If you are wondering, is data science bootcamp worth it or not?  It depends entirely on your goals and situation. The general perks of enrolling in these courses are that they are cheap and quicker than traditional college programs, which makes them accessible. You will get valuable practical experience and career support. Bootcamps don't cover much of the traditional courses, but they also don't last as long. Make sure to research before you enroll in any course. In the end, it leans towards your needs and budget. Is data science bootcamp worth it or not, you can find out by sorting out your preferences and goals.

To become a data scientist, here's what you can do:

  • Get the Right Education: First, you need to study. Get a bachelor's degree in computer science, statistics, or something related. There are also data science bootcamp part-time or online courses and certifications to explore.
  • Start small with internships or entry-level jobs in data science. This helps you learn and grow your skills.
  • Build a portfolio to show what you can do. Share projects, code samples, or write blog posts about your work.
  • Attend meetups and events to meet fellow data scientists. Learning from their experiences can be super helpful.
 

In order to join the Data Science Bootcamp with Golden Gate University, you don't need to be a coding expert. All you need is a passion for working with data and solving problems. Data science bootcamp for beginners is designed for people who are new to coding, so not having experience will never affect your learning. But having a little prior knowledge of programming and mathematics sure can uplift you with ease. So, if you are looking for “data science bootcamp near me” or want to start your journey in this field, then this is the best bootcamp for data science to begin your career.

After finishing the course Data Science Bootcamp at Cambridge Infotech, you will receive a data science bootcamp certification of completion issued by Cambridge Infotech. This certificate holds great significance as it is validated by prominent tech industry employers who actively contribute to the best data scientist bootcamp curriculum and collaborate with KnowledgeHut for the best bootcamp data science for their workforce training needs. Additionally, choosing the blended learning option offers you the opportunity to obtain a certificate from Golden Gate University, California. This credential can greatly enhance your profile during the data science bootcamp job placement.

The Cambridge Infotech online data science bootcamp is 100% online with no in-person classes. This option provides you with the opportunity to learn from the comfort of your own home or office in your own time. The course materials and resources are available to you 24/7, which means you can study at your own pace. You can actively engage in discussion forums and various online tools with instructors and fellow learners through live virtual classrooms. If you are looking for a convenient way to master data science, the Cambridge Infotech data science bootcamp is an excellent choice, offering a seamless learning experience in an online bootcamp for data science.

Data science bootcamps have become really popular lately because they offer a quick and affordable way to learn the skills needed for the best data science bootcamp with job guarantee. These bootcamps are flexible, so you can learn when it suits you the best while not forsaking your other duties. They upscale you by teaching programming, stats, and machine learning, plus you get to work on real projects to gain experience. While they are not the same as going to a regular college, an affordable data science bootcamp can be a smart choice if you want to dive into data science fast without piling up a ton of debt.

What Learners are Saying

 Rajesh Kumar
Rajesh Kumar
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Having tried various online courses in data science, I was skeptical about enrolling in another one. However, Cambridge Infotech's Data Science course exceeded all my expectations. The in-person classes fostered a collaborative learning environment, allowing for meaningful interactions with both instructors and peers. The course content was up-to-date and relevant, covering the latest tools and techniques in data science. What I appreciated most was the emphasis on practical application, which helped solidify my understanding of the concepts. I'm now equipped with the skills and knowledge to pursue a successful career in data science, all thanks to this exceptional course."
Priya Sharma
Priya Sharma
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Transitioning from academia to the corporate world can be overwhelming, especially in a field as competitive as data science. Thankfully, Cambridge Infotech's Data Science course provided me with the necessary skills and support to make a smooth transition. The curriculum was well-structured, and the instructors were not only knowledgeable but also passionate about the subject. The hands-on approach helped me gain confidence in my abilities, and the career support services were instrumental in landing me a job in the industry. I'm grateful for the experience and would highly recommend this course to aspiring data scientists.
Ankit Gupta
Ankit Gupta
Read More
I've always been fascinated by data and its potential to drive meaningful insights. Cambridge Infotech's Data Science course provided me with the perfect platform to turn that fascination into expertise. The curriculum was comprehensive, covering everything from statistical analysis to machine learning algorithms. What sets this course apart is its emphasis on practical skills development. The projects were challenging yet rewarding, and the support from the instructors was invaluable. I highly recommend this course to anyone looking to kickstart their career in data science.

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