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PG Program in Data Science, Machine Learning & Neural Networks in collaboration with

Aligned to Competency Standards developed by SSC NASSCOM In Collaboration with Industry and approved by Government of India

Best Data Science Bootcamp With Placement Guarantee

In Curriculum

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Become an industry-ready Certified Data Science professional with this Job Guarantee Bootcamp through immersive learning of Data Analysis and Visualization, ML models, Forecasting & Predicting Models, NLP, Deep Learning, and more.

In Collaboration With
  • NASSCOM
  • nasscom Data Science Bootcamp

25 Apr, 2025

Next Batch
starts on

6 Months

Recommended
20-22 hrs/week

6 Months

Live
Internship

Online

Learning
Format

6000+

Career
Transformed

950+

Hiring
Partners

Program Overview

Best online Data Science Bootcamp in India and across the globe. Get trained with highly in-demand tools, techniques & technologies for Data Science.

Key Highlights

  • Live-Internship of 6 Months - Data Science BootcampLive-Internship of 6 Months
  • One-on-One sessions with the Industry Mentors - Data Science BootcampOne-on-One sessions with the Industry Mentors
  • 100% Placement guarantee - Data Science Bootcamp100% Placement guarantee
  • 40+ Live Projects along with Case Studies - Data Science Bootcamp40+ Live Projects along with Case Studies
  • Dedicated Career Program Manager - Data Science BootcampCareer Program Manager
  • Career Guidance - Data Science Bootcamp Career Guidance
  • Ideal for both Fresh Graduates & Working Professionals - Data Science BootcampIdeal for both Fresh Graduates & Working Professionals
  • Unique Specializations - Data Science Bootcamp6 Unique Specializations
  • Instant Query Resolution - Data Science BootcampInstant Query Resolution

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 60000
    • Learners - Data Science Bootcamp
    • Learners - Data Science Bootcamp
    • Learners - Data Science Bootcamp
    • Learners - Data Science Bootcamp
    8500+ learners
Features
  • 300+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • 5 Domain Specializations

6 Months PG Program in Data Science, Machine Learning & Neural Networks in collaboration with

Get eligible for 4 world-class certifications thus adding that extra edge to your resume.

  • Course completion certificate from NASSCOM
  • Project Completion Certificate from DataTrained Education
  • Course completion certificate from DataTrained Education
  • Internship Certificate from Partner Companies

Languages and Tools covered.

  • Excel - Data Science Bootcamp
  • Python - Data Science Bootcamp
  • Tableau - Data Science Bootcamp
  • NLP  - Data Science Bootcamp
  • SQL server - Data Science Bootcamp

What's the focus of this Data Science Bootcamp India?

Choose from 5 unique specializations, receive industry mentorship, dedicated career support, learn 14+ programming tools & languages & much more.

5 Unique Specializations - Data Science Bootcamp

5 Unique Specializations

Select from the five specializations as per your background & career aspirations. Get an Executive Certification In Data Science, Machine Learning & Neural Networks In Collaboration With .

Dedicated Career Assistance - Data Science Bootcamp

Dedicated Career Assistance

Receive one-on-one career counseling sessions & mock interviews with hiring managers. Exhilarate your career with our 950+ hiring partners.

Student Support - Data Science Bootcamp

Student Support

Chat support for Quick Doubt Resolution is open from 06 AM to 11 PM IST. Program Managers are available on call, chat, and ticket during business hours.

Instructors

Join DataTrained – Certified curriculum and learn every skill from the industry’s best thought leaders.

Shankargouda Tegginmani - Data Scientist, Accenture

Shankargouda Tegginmani

Data Scientist, Accenture

Shankar is a data Scientist with 14 Years of Experience. His current employment is with Accenture and has experience in telecom, healthcare, finance and banking products.

Andrew Labeodan - Data Scientist, Centrica

Andrew Labeodan

Data Scientist, Centrica

Andrew is a data Scientist with 14 years of experience. His expertise spans healthcare and Energy Utilities, and he's renowned for successfully implementing data analytics in oncology.

Adedolapo Ogunlade - Data Scientist at Kaggle

Adedolapo Ogunlade

Data Scientist at Kaggle

Adedolapo is a seasoned Data Scientist at Kaggle, specializing in Machine Learning, Statistical Analysis, Data Visualization, and Data Science.

Ioannis Petridis - Data Scientist at KLDiscovery

Ioannis Petridis

Data Scientist at KLDiscovery

Ioannis Petridis is Data Scientist with 9+ years of experience, currently working in KLDiscovery. He has a deep passion in apply lean Data Science and Machine Learning solutions to solve business problems and deliver impactful and innovative products.

Data Science Course Syllabus

Best-in-class content by leading faculty and industry leaders in the form of live sessions, pre-recorded videos, projects, case studies, industry webinars, and assignments.

best data science courses online

Detailed Syllabus of Data Science Course

  • 300+ Hours of Content - data science program institute
  • 300+

    Hours of Content

  • 80+ Live Sessions - data science online training
  • 80+

    Live Sessions

  • 15 Tools and Software - best tools for data science
  • 15

    Tools and Software

Comprehensive Curriculum

The curriculum has been designed by faculty from IITs, and Expert Industry Professionals.

300+ Hours of Content - data science program institute
300+

Hours of Content

80+ Live Sessions - data science online training
80+

Live Sessions

15 Tools and Software - best tools for data science
15

Tools and Software

Foundations

The Foundations bundle comprises 2 courses where you will learn to tackle Statistics and Coding head-on. These 2 courses create a strong base for us to go through the rest of the tour with ease.

This course will introduce you to the world of Python programming language that is widely used in Artificial Intelligence and Machine Learning. We will start with basic ideas before going on to the language's important vocabulary as search phrases, syntax, or sentence building. This course will take you from the basic principles of AI and ML to the crucial ideas with Python, among the most widely used and effective programming languages in the present market. In simple terms, Python is like the English language.

Python Basics

Python is a popular high-level programming language with a simple, easy-to-understand syntax that focuses on readability. This module will guide you through the whole foundations of Python programming, culminating in the execution of your 1st Python program.

Anaconda Installation - Jupyter notebook operation

Using Jupyter Notebook, you will learn how to use Python for Artificial Intelligence and Machine Learning. We can create and share documents with narrative prose, visualizations, mathematics, and live code using this open-source online tool.

Python functions, packages and other modules

For code reusability and software modularity, functions & packages are used. In this module, you will learn how you can comprehend and use Python functions and packages for AI.

NumPy, Pandas, Visualization tools

In this module, you will learn how to use Pandas, Matplotlib, NumPy, and Seaborn to explore data sets. These are the most frequently used Python libraries. You'll also find out how to present tons of your data in simple graphs with Python libraries as Seaborn and Matplotlib.

Working with various data structures in Python, Pandas, Numpy

Understanding Data Structures is among the core components in Data Science. Additionally, data structure assists AI and ML in voice & image processing. In this module, you will learn about data structures such as Data Frames, Tuples, Lists, and arrays, & precisely how to implement them in Python.

In this module, you will learn about the words and ideas that are important to Exploratory Data Analysis and Machine Learning. You will study a specific set of tools required to assess and extract meaningful insights from data, from a simple average to the advanced process of finding statistical evidence to support or even reject wild guesses & hypotheses.

Descriptive Statistics

Descriptive Statistics is the study of data analysis that involves describing and summarising different data sets. It can be any sample of a world's production or the salaries of employees. This module will teach you how to use Python to learn Descriptive Statistics for Machine Learning.

Inferential Statistics

In this module, you will use Python to study the core ideas of using data for estimating and evaluating hypotheses. You will also learn how you can get the insight of a large population or employees of any company which can't be achieved manually.

Probability & Conditional Probability

Probability is a quantitative tool for examining unpredictability, as the possibility of an event occurring in a random occurrence. The probability of an event occurring because of the occurrence of several other occurrences is recognized as conditional probability. You will learn Probability and Conditional Probability in Python for Machine Learning in this module.

Hypothesis Testing

With this module, you will learn how to use Python for Hypothesis Testing in Machine Learning. In Applied Statistics, hypothesis testing is among the crucial steps for conducting experiments based on the observed data.

Machine Learning

Machine Learning is a part of artificial intelligence that allows software programs to boost their prediction accuracy without simply being expressly designed to do so. You will learn all the Machine Learning methods from fundamental to advanced, and the most frequently used Classical ML algorithms that fall into all of the categories.

With this module, you will learn supervised machine learning algorithms, the way they operate, and what applications they can be used for - Classification and Regression.

Linear Regression - Simple, Multiple regression

Linear Regression is one of the most popular Machine Learning algorithms for predictive studies, leading to the very best benefits. It is an algorithm that assumes the dependent and independent variables have a linear connection.

Logistic regression

Logistic Regression is one of the most popular machine learning algorithms. It is a fundamental classification technique that uses independent variables to predict binary data like 0 or 1, positive or negative , true or false, etc. In this module, you will learn all of the Logistic Regression concepts that are used in Machine Learning.

K-NN classification

k-Nearest Neighbours (Knn) is another widely used Classification algorithm, it is a basic machine learning algorithm for addressing regression and classification problems. With this module, you will learn how to use this algorithm. You will also understand the reason why it is known as the Lazy algorithm. Interesting Right?

Support vector machines

Support Vector Machine (SVM) is another important machine learning technique for regression and classification problems. In this module, you will learn how to apply the algorithm into practice and understand several ways of classifying the data.

We explore beyond the limits of supervised standalone models in this Machine Learning online course and then discover a number of ways to address them, for example Ensemble approaches.

Decision Trees

The Decision Tree algorithm is an important part of the supervised learning algorithms family. The decision tree approach can be used to resolve regression and classification problems unlike others. By learning simple decision rules inferred from previous data, the goal of using a Decision Tree is constructing a training type that will be used to predict the class or value of the target varying.

Random Forests

Random Forest is a common supervised learning technique. It consists of multiple decision trees on the different subsets of the initial dataset. The average is then calculated to enhance the dataset's prediction accuracy.

Bagging and Boosting

When the aim is to decrease the variance of a decision tree classifier, bagging is implemented. The average of all predictions from several trees is used, that is a lot more dependable than a single decision tree classifier.

Boosting is a technique for generating a set of predictions. Learners are taught gradually in this technique, with early learners fitting basic models to the data and consequently analyzing the data for errors.

In this module, you will study what Unsupervised Learning algorithms are, how they operate, and what applications they can be used for - Clustering and Dimensionality Reduction, and so on.

K-means clustering

In Machine Learning or even Data Science, K-means clustering is a common unsupervised learning method for managing clustering problems. In this module, you will learn how the algorithm works and how you can use it.

Hierarchical clustering

Hierarchical Clustering is a machine learning algorithm for creating a bunch hierarchy or tree-like structure. It is used to group a set of unlabeled datasets into a bunch in a hierarchical framework. This module will help you to use this technique.

Principal Component Analysis

PCA is a Dimensional Reduction technique for reducing a model's complexity, like reducing the number of input variables in a predictive model to avoid overfitting. Dimension Reduction PCA is also a well-known ML approach in Python, and this module will cover all that you need to know about this.

DBSCAN

Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to identify arbitrary-shaped clusters and clusters with sound. You will learn how this algorithm will help us to identify odd ones out from the group.

Advanced Techniques

EDA - Part1

Exploratory Data Analysis (EDA) is a procedure of analyzing the data using different tools and techniques. You will learn data standardization and represent the data through different graphs to assess and make decisions for several business use cases. You will also learn all the essential encoding techniques.

EDA - Part2

You will also get a opportunity to use null values, dealing with various data and outliers preprocessing techniques to create a machine learning model.

Feature Engineering

Feature Engineering is the process of extracting features from an organization's raw data by using domain expertise. A feature is a property shared by independent units that can be used for prediction or analysis. With this module, you will learn how this works.

Feature Selection

Feature selection is also called attribute selection, variable selection, or variable subset selection. It is the process of selecting a subset of relevant features for use in model development. You can learn many techniques to do the feature selection.

Model building techniques

Here you will learn different model-building techniques using different tools

Model Tuning techniques

In this module, you can learn how to enhance model performance using advanced techniques as GridSearch CV, Randomized Search CV, cross-validation strategies, etc.

Building Pipeline

What is Modeling Pipeline and how does it work? Well, it is a set of data preparation steps, modeling functions, and prediction transform routines organized in a logical order. It allows you to specify, evaluate, and use a series of measures as an atomic unit.

ChatGpt Essentials

ChatGpt is a revolutionary AI chatbot technology that provides users with powerful tools for content generation, prompt ideas, and other features. This module will help you understand the various capabilities of this advanced technology, including its strengths and limitations.

GPT-3 (Generative Pre-trained Transformer 3) is a state-of-the-art language model developed by OpenAI. Learn about GPT-3 and its capabilities like Natural Language Understanding abd Promt Engineering.

Prompt engineering is the practice of designing and crafting effective prompts or input instructions for language models like GPT-3 to guide their generation of desired outputs. Learn to leverage the power of prompt engineering to be 10x productive like never before.

Explainable AI and model interpretability are becoming increasingly important as AI models are being used in various critical domains, such as healthcare, finance, and legal systems, where accountability, fairness, and transparency are crucial. Learn to build machine learning models using LIME & ShARP.

Dive into the GPT model and their architecture. Develop understanding about concepts like Reinforcement Learning from Human Feedback (RLHF), one-shot learning, and few shot learning.

Learn to build an AI Evaluator that automatically evaluate exam submissions by the students by leveraging the GPT and eliminating the need for training NLP models from the scratch.

Understand and learn to build a GNN model.

In depth understanding of advanced GNN.

Generative models can be used in a wide range of applications, including image generation, text generation, speech synthesis, music composition, and more. Build underderstandinng of text-to-image models and image-to-text models.

Industry Projects

Our online Data Science Bootcamp provides a great learning opportunity through real-life industry projects sponsored by top organizations across various industries. This online Data Science Bootcamp offers relevant case studies to give you a wholesome learning experience.

  • Engage in conjoint projects & learn from experts together with peers - Data Science Bootcamp Engage in conjoint projects & learn from experts together with peers
  • Receive 1-on-1 Mentoring by industry leaders for better understanding - Data Science Bootcamp Receive 1-on-1 Mentoring by industry leaders for better understanding & application of concepts that you learned
  • Get detailed feedback on your overall performance - Data Science BootcampGet detailed feedback on your overall performance to facilitate improvement
Smartphone and Smartwatch Activity - Data Science Bootcamp

Smartphone and Smartwatch Activity

The crude accelerometer and whirligig sensor data are gathered from the smartwatch & cell phone at a pace of 20Hz.

Recommendation System - Data Science Bootcamp

Recommendation System

In the Internet of Things world, businesses must use recommendation systems to Recommend their Products & Services to customers.

Air Quality Study - Data Science Bootcamp

Air Quality Study

Predicting The Air Quality Of Various parts of India, Based on The Data Collected from Meteorological Dept of India.

Why Choose DataTrained For A Data Science Bootcamp India?

The Best, most exclusive Data Science Bootcamp India is the Post Graduate Bootcamp in Data Science, Machine Learning, and Neural Networks. The Data Science Bootcamp is developed with Data scientists from & industry experts working in the data science domain for decades & according to the international industry standards. The Bootcamp duration is 12 months, including a well-balanced curve of practical and theoretical learning covering everything from the basics to advanced levels of Data Science Bootcamp India and across the world. Enroll now to benefit from the Data Science Bootcamp online.

Apply Today for the Best Data Science Bootcamp in India.

Internship - Data Science Bootcamp

Along with this Data Science Bootcamp India, DataTrained offers a 6 Months live internship to assure you graduate as an experienced Data Science professional. DataTrained also allows you to go for an online internship for working professionals.

Resume Feedback - Data Science Bootcamp

DataTrained has joined hands with IIMJobs, which gives you access to their paid resume preparation kit and individual feedback from the HR domain experts. Our Data Science Bootcamp India experts make a unique career profile according to the candidate's experience to ensure it is relevant to a Data Science job role.

Interview Preparation - Data Science Bootcamp

Regular mock HR with technical interviews by mentors with Individual support and guidance to every student. The industry mentors help students to take their projects on Kaggle so that their resume looks professional to the recruiters.

Placement - Data Science Bootcamp

We generate the Ability Score of every student, which is then sent to our 950+ recruitment partners. We organize campus placements every quarter to place our Data Science Bootcamp India students in the Best companies.

Career Impact

DataTrained, in association with , presents the Best Online Data Science Bootcamp India. Over 5000+ Careers Transformed.

DataTrained has helped me with the essential knowledge and skills required for a data scientist role. The trainer commences with an example to make us apprehend the concept and then support us build the Algos with the entire industry datasets. DataTrained brings the ability of online learning along with committed Counseling, Mentorship, Live Sessions, and six months Internship.

Aaruni Khare, Data Scientist, RBS - Data Science Bootcamp
Aruni Khare Data Scientist, RBS

I saw an advertisement from DataTrained on Facebook and contacted them immediately to enquire about the Data Science online course. The counselor took me through the entire journey of what they offer and what data science is all about. After subsequent discussions for a few weeks, I was sure about the course and knew where to invest my hard work & money.

Rakshit Jain, Data Scientist, Optum - Data Science Bootcamp
Rakshit Jain Data Scientist, Optum

The course is a well-balanced blend of pre-recorded classes, live sessions on weekends & printed materials they sent to my address. My mentor Amit Kaushik helped me get confidence in completing assignments on time. I have nearly finished the course and have been able to crack the Glenmark interview. Thank you so much, DataTrained.

Rupam Kumar Chaurasia, Head Sales, Glenmark - Data Science Bootcamp
Rupam Kumar Chaurasia Head Sales, Glenmark
66% Average Salary Hike - Data Science Bootcamp 66%

Average Salary Hike

Upto 25LPA Highest Salary - Data Science Bootcamp Upto 25LPA

Highest Salary

7k+ Jobs  Sourced - Data Science Bootcamp 7k+

Jobs Sourced

950+ Hiring Partners - Data Science Bootcamp 950+

Hiring Partners

Admission Process

There are three simple steps in the Admission Process, which are detailed below.

Step 1: Fill Query Form

Fill out the Query Form given and one of our counselors will call you & understand your eligibility.

Step 2: Get Shortlisted and Receive a Call

Our Admissions Team will examine your profile. Upon successfully qualifying, we will send an Email to you confirming your admission to the Program.

Step 3: Block Seat & Start the Prep Course

Block your seat with the payment to get enrolled in the course. Begin with your Prep course and begin your Data Science journey!

Data Science Course Fee

₹ 60000 + GST

No Cost EMI options are also available. *

Data Science Bootcamp

I’m interested in this program

What's Included in the Price

Placements

Access to real-life 40 industry projects

6 Months online Internship part of the core curriculum

For Queries and Suggestions

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Data Science Trends in India

The latest trends in data science suggest that a new perspective is taking shape. DS is no longer a science earmarked for a select group of individuals but has become an invaluable prospect for every professional within a business to improve and refine their practice. The demand of data scientists in India is at all-time high, resulting in an upward career arc and generous company pay. 2021 and the next few years will be very exciting for the businesses and teams adopting data science.

Jobs/Vacancies in the field of Data Science

India is witnessing the rapid digitization of businesses and services, making it the world's second-largest hub for data science. Around 93,000 jobs in Data Science were vacant in India at the end of August 2021. 70% of these vacancies were for fewer than five years of experience. Transitioning to data science is innovative as it fetches far higher comparative returns.

Salary in India of Data Science Professionals

The average salary for the data science professional is 7 lakh per year. When you earn Your PG certificate, you can expect anywhere from a 13 to 25% boost in your annual salary. Thus, investing just 4-5 hours weekly of one's time to gain specialization in Data Science and Machine Learning gives compounded returns, in the long run, allowing professionals to expand their career horizons.

Frequently Ask Questions

Our mission at DataTrained is to provide the Best Data Science Bootcamp India at economical rates. Our Data Science Bootcamp fee structure is more affordable when compared with our competitors. We also offer the no-cost EMI payment option. Our objective involves providing quality education at an affordable price with the finest counseling sessions and an enterprise interface.

We strive to see our students placed in different data science roles at the best corporations. It is our job to make data science training affordable for everyone interested in learning. For more info, please contact us. We'd love to hear from you.

Datatrained offers you the Best Data Science Bootcamp. We aim to provide you with the Best Quality Bootcamp Data Science at an affordable rate. We also introduce you to great counseling sessions to clear your doubts with an industry interface. We aim to prepare talented data Science Professionals according to industry necessities. Datatrained gives you an exclusive Bootcamp Data Science with placement guarantee in different expertise.

Our course has an ambition, most recent educational programs according to industry requirements. Here, you will get an opportunity to learn from real-life industry projects sponsored by top companies across various industries. Mentors organize it from IITs, , and master industry experts. We also provide extra advantages along with Bootcamp Data Science like:-

  • Interview Preparation
  • Live Internship
  • 100% Placement Guaranteed
  • Resume Feedback
  • For any further queries, get in touch with us. We would love to hear from you and help you by all means.

Here are some top companies in data science in India are:

  • Splunk
  • Numerator
  • Databricks
  • Cloudera
  • Teradata
  • Unified
  • Alteryx
  • Civic Analytics
  • Amazon
  • Flipkart

There are some easy criteria to become a data scientist in India with Bootcamp Data Science:

  • It doesn't matter if you have a technical background or not/ fresher or working professional, you can study/learn or enhance your knowledge in Bootcamp Data Science and build a fruitful career.
  • First, you must fill out the admission form for your particular course.
  • If you're eligible for our Bootcamp Data Science, you will receive a call back from our 24/7 student career support.
  • Moving forward, you will go through the payment process for your particular course.
  • In the meantime, after your form fillup and starting your live session classes, you will get some time for your basic course knowledge, which is already provided on our official page in LMS( learning management system), so that you can build yourself a solid base that will lead you to go head to head with mentors and teachers when your weekend classes start.
  • After completing your 2hours live session classes and 40+ assignments assigned by your respective mentors, we provide you a 6-month internship which will lead you to be no longer introduced as a fresher.
  • We will make sure you are well prepared for your real-time interview by providing you with a mock interview, LinkedIn optimization, and resume update so that you get recognized by top-not firms.
  • Lastly, you can continue your fruitful future as a data scientist with a commendable salary package.

Bootcamp Data Science requires some essential coding proficiency. Coding languages are necessary for data science to explore, clean, analyze, and present data. Machine learning in data science also utilizes programming languages like Python & R. However, miscellaneous job functions and sectors have distinct coding necessities for data science. But don't worry, we teach everything from scratch in our course.

Indeed, totally! Regardless, the time is well beyond anyone's assumption to turn into a data scientist. Today, there is an immense supply gap and a flourishing interest in qualified data scientists. This mainly shows the tremendous potential for you to seek after this exceptionally pursued profession and bring in a more fruitful package than other fields.

The need for data scientists with proficiency in various fields like artificial intelligence, machine learning, big data, etc., will prevent the given difficulty of worldwide issues and our growing dependence on continually further developing innovation.

Yes, you can surely become a data scientist with an online Data Science Bootcamp. Learning data science is comparatively easier than learning it offline as you should only be interested in learning data science, a computer and a good internet connection. An online Data Science Bootcamp comes with many benefits:-

  • Affordable Fees
  • Flexibility in time slots
  • It facilitates you to learn at your own pace
  • Upskilling in career-making your future-ready
  • Study with a job for working professionals

Along with these advantages, our Best Data Science Bootcamp with Placement Guarantee gives 300+ hours of content, 80+ hours of live sessions, and more than 15 tools & software. You can acquire knowledge from experts who have decades of experience in their respective fields, and in case you face any difficulties, they can instantly clear your doubts. A 6-month live internship will ensure that you are no longer a fresher, automatically introducing you as a professional data scientist.

A data scientist needs the given knowledge and training:-

  • The minimum qualification required is a Graduation degree
  • Basic programming skills can play an essential role in further coping with our experts.
  • Communication skills
  • Data analyzing skill is a plus point
  • Capacity to work for a longer duration under pressure

Datatrained Data Science Bootcamp guarantees you 100% guaranteed job placements with six months of Live Internship program, improving your LinkedIn profile, updating your resume, and mock interviews. And after giving all these facilities, if by any chance you don't get placement, the entire Data Science Bootcamp course fee will be refundable to you.

DataTrained Data Science Bootcamp is the best data science course for candidates searching for a profession in data science. The best data science course offered by Datatrained Data Science Bootcamp is the PG program in Machine Learning, Data Science, and Neural Networks with 100% guaranteed placements at an affordable price with numerous our experts gave assignments.

The time period for the Datatrained Bootcamp Data Science course is 12 months, where in the first six months, live sessions are conducted on weekends, i.e., Saturdays and Sundays, for 2 hours. Also, 40+ assignments are assigned by our experts, of which 20+ assignments are based on projects, and the other 20+ assignments are based on case studies. Additional six months consist of live internships for students under the guidance of our decades of experienced experts.

After completing the Data Science Bootcamp, there are various sectors where you can get an opportunity to work as a data scientist. Here is the list of the industries where Data Science professionals are extensively required:

  • Banking and Financial Industry
  • Media, Advertising, and Marketing
  • Healthcare
  • Government
  • Manufacturing
  • Tech Startups
  • Retail

Data Science is a branch of science wherein advanced analytics techniques and scientific principles are applied to extract meaningful information from the data for strategic decision-making, business planning, & much more. It is a medium that lets data scientists utilize models as APIs, making it effortless to incorporate them into different applications. Data scientists can acquire tools, data, & infrastructure without waiting for IT. The demand for Data Science platforms has blown up in the market.

A Data Scientist is a professional who manipulates massive datasets, cleans & analyzes them, and then visualizes them to emanate valuable insights and communicate them to business executives or decision makers. The data is obtained from numerous sources & then processed by the Data Science specialist into a format fit for analysis before being sent into an analytics system where statistically established data is conducted to acquire actionable insights.

A Data Science Bootcamp is a blend of Mathematics, Statistics, Machine Learning, Artificial Intelligence, Data Analysis & Visualization, Deep Learning, NLP, and many other domains. In our Data Science Bootcamp, you will get trained in the latest high-in-demand tools, technologies, and techniques. You will be prepared to deal with large volumes of data and extract meaningful insights from it. You will get multiple projects, case studies, an exclusive internship, and the Bootcamp. It will ensure that you have theoretical and practical hands-on knowledge at the end of the Bootcamp.

In our exclusive data science Bootcamp course, you get a chance to have expert mentorship during your learning period. The mentors guide you throughout the course and are always available to clear your doubts and queries. Our mentors have decades of experience in the data science field. In contrast, the primary reason for a career mentoring session is to exchange details and work together towards accomplishing a student's goal.

Every year we place many of our students at top MNCs. We have alliances with 950+ corporations throughout the globe. We evaluate our students based on distinct parameters and develop ability scores for each. We communicate these scores with our associate organizations. Whenever these institutions have vacancies, they contact us directly and select the candidates based on their preferences.

The essential requirement to enroll in a data science Bootcamp course is the student must hold a graduation degree. If the students face any queries regarding qualifications, they can contact us through our helpline numbers. After that, you must visit our website and complete a simple form with all the necessary details. After finishing the fee payment for the data science Bootcamp course, you will be approved by our Learning Management System. Here, you can acquire every learning content related to the course. So, Hurry up! And apply for our courses now.

Indeed, the Datatrained data science Bootcamp provides a data science course suitable for all the freshers who want to learn data science. It's not necessary to have an experience of technical background or anything to learn a data science course. Our Python for Data Science and Machine Learning Bootcamp experts, who have a keen knowledge of their field, assist the students in learning everything about data science from the beginning. If the students face any doubts or queries, our mentors try to help them out by clearing the doubts in all ways possible.

Data Science Bootcamp India comes with a 100% placement guaranteed or money-back challenge. This exclusive platform comes with this kind of guaranteed program, and the point for aspirants is that they don't need to have any technical background; they just need to have a valid graduation degree affiliated with universities. They can enroll with us to learn data science Bootcamp with 100% job placement so that students don't feel pressured about their careers. And they can only focus on their classes which leads to a 6-months internship provided by us.

To become a data scientist, you need to complete your data science Bootcamp course; after that, you will have to do six months of internship provided by us. Moving forward, we will conduct mock interview sessions, which are distributed into two parts; the first is based on non-technical skills, that is, your personality development and the second is for all the technical skills and knowledge. Furthermore, we will optimize your LinkedIn profile for making connections in your field and resume update so that it will look more professional, which will help you to get recognized by top-notch firms. These simple go-through steps will lead you to become a Data Scientist.

The last requirement to enroll in Data Science Bootcamp India is a graduation degree in any field; there is no specific need to have any technical knowledge or not; it doesn't matter whether you are a fresher or a working professional. We introduced you to the platform where any aspirant can indulge with us because our experts who have deacades of experience in their field will teach from scratch to an advanced level.

We offer you the Data Science Bootcamp with a placement guarantee in various specific specialization and elective courses. In every Data Science course, different programming languages and tools are embraced. Although some significant tools and programming languages that we introduce to you are:

  • Python
  • Natural Language Processing
  • Microsoft SQL Server
  • Microsoft Excel
  • Tableau
  • R Programming Language
  • Deep NLP
  • SAS Programming
  • Time Series Analysis
  • Scala Programming

If you face any Python for Data Science and Machine Learning Bootcamp problems, you can contact us on our helpline number +91 95600 84091. However, you can also mail us at support@datatrained.com for further support, or you can also raise a ticket by logging in to your learning management system platform.

Absolutely yes, Data Science Bootcamp certification helps you learn Data Science from scratch because our mentors and teachers ensure that aspirants from non-technical backgrounds can easily understand the course without facing any trouble. In the DataTrained Data Science Bootcamp, the majority of students are from different fields like Commerce or Arts. We developed a course where students of any field's background can quickly learn the Data Science Bootcamp from scratch to an advanced level.

After enrolling with essential formality like filling the form with your required details, and fee payment after all of these procedures, you will all pre-taped videos in the LMS section, i.e., Learning Management System. These pre-taped videos will help you clear your basics and enhance your knowledge in the coming days when your weekend live session classes will be on-air. You will easily cope with your expert teachers with years of experience. If you face any doubt or difficulties in understanding during the Python for Data Science and Machine Learning Bootcamp, feel free to approach your mentors/guides; they will help asap.

Undoubtedly, Learning data science is a bit tough but fruitful too. A programming background can be an added advantage and help you smoothly move forward with your course. But even if you are new to this field, you need not worry because we educate the students from scratch. All we need is your commitment and eagerness to learn data science. At data science Bootcamp, you get a chance to learn from our experienced mentors who are themselves data scientists and will help you solve your queries in all possible ways. Students also get an opportunity to get guidance from mentors during one-to-one sessions. Our Python for Data Science and Machine Learning Bootcamp format is very participative and encloses projects that give you an experience of fun learning.

This is a lifelong certification issued by Datatrained Bootcamp for Data Science. This certification is valid globally and will help you to get a placement in top-notch domains. Whatever knowledge you gain from this Python for Data Science and Machine Learning Bootcamp is relevant everywhere.

You can start your fascinating learning journey with a Bootcamp for Data Science to attain your Bootcamp certification. This Bootcamp for Data Science provides you with a 100 % guaranteed placement. This Python for Data Science and Machine Learning Bootcamp will help you to begin your career in this organization. Once you are done with this Bootcamp certification course, you can get enough opportunities to kick-start your career.

Our Data Science instructors are chosen based on benchmarks established by our management team. Our Bootcamp for Data Science trainers and mentors have decades of experience in the data science field. They have practical experience along with working knowledge of data skills. Our current Data Science trainers for Python for Data Science and Machine Learning Bootcamp are listed below:

  • Shankargouda Tegginmani - Data Scientist, Accenture
  • Sanket Maheshwari - Data Scientist, Faasos

Yes, we offer practice exams in Bootcamp for Data Science. We provide 40+ real-life industry projects, 20 projects for the candidate's practice, and the remaining 20 projects for self-assessment in our Python for Data Science and Machine Learning Bootcamp. The candidates are allocated real-time data rather than data from the internet. We also provide candidates with a 6-month internship, after which they provide you with a certificate, qualifying you to no longer be a fresher but an experienced professional.

Mock interviews, course assignments, professional optimization of your LinkedIn profile, and resume updates will help you get selected by top-tier organizations.

You are eligible for a refund of the Booking Amount if you cancel your course within 7 calendar days of the Course Registration Date, which is the date of payment. However, this refund policy does not supersede any course-specific refund terms. Please consult your counselor for more information about the respective course's refund terms.