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

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

Data Science Course Noida with Placement Guarantee

In Curriculum


Be an industry-ready certified Data Science professional with our exclusive Data science course Noida by immersive learning of Data Analysis with ML models, Visualization, Forecasting & predicting Models, NLP, and Deep Learning with a 100% placement guarantee Program in Noida.

In Collaboration With
  • nasscom data science course noida

21 Jun, 2024

Next Batch
starts on

12 Months

20-22 hrs/week

6 Months








Course Description

Data Science Course in Noida

DataTrained offers the Best Data Science Course in Noida where you get hands-on training on all relevant and in-demand tools, learn 14+ programming tools & languages, techniques, Data Mining, Data Collection, Data Extraction, Data Cleansing, Data Exploration, fundamentals viz., (calculations, data sets, manipulation), statistical concepts (mean, median, mode, standard deviation and skewness) along with real-world scenarios applied for data analysis using graphs/charts. Apart from that, this course also builds programming skills including code solutions, algorithms and flowcharts/pseudocode.., and technologies from the Data Science Course in Noida with Placement. Also with the most affordable Data Science Course fee structure in Noida. DataTrained is regarded as the best Data Science Training Institute in Noida which offers services from training to placement guarantee. DataTrained imparts the Best Data Science Course in Noida with placement guarantee. Enroll Now, to start your career with the Data Science Course in Noida with placement guarantee.

Key Highlights

  • 6 Months of rigorous Internship - data science course noida6 Months of rigorous Internship
  • One-on-One interaction with Industry Mentors - data science course noidaOne-on-One interaction with Industry Mentors
  • 100% Placement guarantee - data science course noida100% Placement guarantee
  • 40+ Live Projects along with Case Studies - data science course noida40+ Live Projects along with Case Studies
  • Dedicated Career Program Manager - data science course noidaDedicated Career Program Manager
  • 360 Degree Career Guidance - data science course noida360 Degree Career Guidance
  • Ideal for both Fresh Graduates & Working Professionals - data science course noidaIdeal for both Fresh Graduates & Working Professionals
  • Unique Specializations to choose from - data science course noidaUnique Specializations to choose from
  • Prompt Query Resolution - data science course noidaPrompt Query Resolution

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 160000
    • Learners - data science course noida
    • Learners - data science course noida
    • Learners - data science course noida
    • Learners - data science course noida
    8500+ learners
  • 300+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • 5 Domain Specializations

12 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 course noida
  • Python - data science course noida
  • Tableau - data science course noida
  • NLP - data science course noida
  • SQL server - data science course noida

What's the focus of the Data Science course Noida with placement guarantee?

Select from five Unique specializations, learn 14+ programming tools & languages, Live case studies and projects, six months of live internship, get mentorship from the industry experts, dedicated career support, and much more with the best Data science course Noida. The focus is also to offer the most affordable Data science course noida with an affordable fee structure.

5 Unique Specializations - data science course noida

5 Unique Specializations

Get a chance to select from 5 unique specializations as per your career aspirations & academic background. Get an Executive Certification In Data Science, ML & Neural Networks In Collaboration With in Noida.

Complete Career Assistance - data science course noida

Dedicated Career Assistance

Get a chance to Receive one on one career counseling sessions from industry experts and regular extensive mock interviews with the hiring managers. Boost your career with 950+ hiring partners from different industry domains.

Student Support - data science course noida

Student Support

Chat support is open from 06 AM - 11 PM IST for instant Query Resolution. Program Managers are available on call and chat, and you could also use our user-friendly ticket-raising system on LMS during company hours.


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

Dr. Deepika Sharma - Training Head, DataTrained

Dr. Deepika Sharma

Training Head, DataTrained

Dr. Deepika Sharma has been associated with academics /corporate education for more than 14 years. She has a deep passion in the field of Artificial Intelligence, Data Science, and Machine Learning.

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.

Gifty Aiyegbeni - Data Scientist at Bincom Global

Gifty Aiyegbeni

Data Scientist at Bincom Global

Gifty is a dedicated data scientist and analyst passionate, currently working in Bincom Global. She is experienced in python programming, R programming, and SQL queries while offering knowledge in statistical analysis.

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

Hours of Content

80+ Live Sessions - data science online training

Live Sessions

15 Tools and Software - best tools for data science

Tools and Software

Set the Basics Right

DataTrained's orientation prepares students to use the platform by introducing the Learning Management System, accessing course material, attending live classes and assessments, connecting with mentors and receiving career coach support. A preparatory session covers curriculum explanation and software installation guidance. The Data Science Foundation course covers Excel fundamentals (calculations, data sets, manipulation) and statistical concepts (mean, median, mode, standard deviation and skewness) with real-world scenarios applied for data analysis using graphs/charts. The Programming Foundation course introduces data science and builds programming skills including code solutions, algorithms and flowcharts/pseudocode for further exploration of data science/coding.

The orientation session at DataTrained is tailored to equip students with the necessary information and understanding to effectively utilize our platform for the best possible outcome. During this session, students are provided with a thorough introduction to our modern Learning Management System, called the DataTrained Academy. Students gain an understanding of how they can easily access course material, engage in live classes, complete assessments, and connect with mentors for any questions or queries. Moreover, students learn about the career coach support who is available to them throughout their course journey to provide guidance and support.

In order to ensure that students have a comprehensive understanding of the course and its expectations, a preparatory session is held prior to the commencement of the program. This session is designed to give students an in-depth explanation of the entire curriculum, as well as guidance on how to install any necessary software needed to begin their journey with the course. This preparatory session helps to alleviate any uncertainties or apprehensions that students may have about their upcoming program, and ensures that they are fully prepared for the challenges ahead.

The "Data Science Foundation" course is the next offering in the program, allowing students to gain insight into data science and the responsibilities of a data scientist or analyst. It begins with a thorough overview of Excel fundamentals, such as basic calculations, working with data sets, cleaning and manipulating it for further use. Additionally, learners will be introduced to important statistical concepts like mean, median, mode, standard deviation and skewness. They will also be coached on how to apply these to real-world scenarios in Excel and analyze data accurately. Through the use of graphs and charts, students can then make informed decisions based on their observations from the data analysis.

Upon being given a basic introduction to the expansive field of data science, students build upon their programming skills through the "Programming Foundation for Data Science" course. Its primary purpose is to ensure that students have a thorough understanding of programming fundamentals and how to create a code-based solution for any problem or challenge they may face. Throughout this course, students acquire the ability to craft algorithms by way of flowcharts and pseudocode, which are essential components in any programming journey. This course provides an excellent foundation for those looking to explore the world of data science and coding practices in greater detail.


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.


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.

Time Series Analysis


A time series is a set of data points that appear in a specific order over a specific time. A time series in investing records the movement of selected data points, like the cost of security, with a set period of time, with data points collected at regular intervals.

Time Series Components

In this module, you will learn about different components that are necessary to analyze and forecast future outcomes.


You will learn what is stationarity and the importance of learning stationarity.

Time Series Models

In this module, you will learn common Time series models as AR, MA, ARIMA, etc.

Model Evaluation

When you build models, you will use different evaluation methods to gauge the product performance or even accuracy. Yes, In this module, you will learn model evaluation methods.

Use Case and Assignment

You will also get a chance to work on assignments and feel at ease while working on the use case scenarios.


Also, we are providing a few more extra projects for practice, you can assemble and compare your solutions with the ones we provide.

Recommendation Engine


In the introduction module, you will learn why recommendation systems are used, their requirement, and their applications.

Understanding the relationship

In this module, you will learn on what basis recommendation engine works and their association rules.

Types of Data in RS

In this module, you will learn all the types of data used in the Recommendation Engine.

Ratings in RS

In this module, you will learn just how the ratings are drawn in the Recommendation Engine.

Similarity and Its Measures

Recommendation systems work on the basis of similarity between the product and the consumers who view it. There are many ways for determining how similar 2 products are. This similarity matrix is used by recommendation systems to recommend the next most comparable product to the customer.

Types of Recommendation Engine

In this module, you will learn different types of Recommendation Engines.

Evaluation Metrics in Recommendation

Once you build the models, you require metrics to evaluate how effective is your model. You will learn various evaluation tools in RE.

Use cases

You will also get an opportunity to focus on additional use cases. Later, you can compare your solution with the SME-provided solution.

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.


Strong hand-holding with dedicated support to help you master some of the complex processes of Data Science and Artificial Intelligence.

Deep Learning with Computer Vision

  • Deep Learning
  • Computer Vision

Deep Learning with NLP

  • Deep Learning
  • Deep NLP

Business Analytics with R

  • Business Analytics with "R" programming and R shiny
  • Business Analytics with Advanced Excel

Business Analytics with Tableau

  • Business Analytics with Tableau
  • Business Analytics with Advanced Excel

Business Analytics with Power BI

  • Business Analytics with Power BI
  • Business Analytics with Advanced Excel

Industry Projects Offered

Learn through real-life industry projects supported by top companies across industries and the most exclusive Data science course Noida.

  • Mentoring by the industry professionals to learn and apply better - data science course noidaMentoring by the industry professionals to learn and apply better
  • Engage in the joint projects and learn from peers - data science course noidaEngage in the joint projects and learn from peers
  • Personalized subjective feedback - data science course noidaPersonalized subjective feedback for your submissions to offer improvement
Smartphone and Smartwatch Activity - data science course noida

Smartphone and the Smartwatch Activity

The crude accelerometer & the whirligig sensor info is collected from the cell phone and smartwatch at a pace of 20Hz.

Recommendation System - data science course noida

Recommendation System

Organizations must be using to Recommend the Products & their Services to the People in the interconnected world.

Air Quality Study - data science course noida

Study of Air Quality

Established The Data Collected from the Meteorological Department of the country. Forecasting Air Quality Of Different Parts Of The nation.

Why to Choose DataTrained For Data Science course Noida with Placement?

DataTrained provides the most exclusive and the best Data science course Noida with 100% placement guarantee, i.e., the PG Program in Data Science, ML, and Neural Networks. Top Data Scientists develop courses with and industry experts working in the data science companies of Noida for several decades, and the course curriculum is at par with the international industry standards. The program duration is 12 months, which perfectly balances practical and theoretical learning, covering everything from the fundamentals to advanced levels of the Data Science course Noida with placement across India.

Enroll today in the leading Data science course Noida with placement.

Internship - data science course noida

With the Data Science course Noida, Datatrained offers six Months internship to ensure that our students graduate as experienced and skilled data science professionals and are no fresher. Datatrained also allows you to go for online internships for working professionals.

Resume Feedback - data science course noida

Datatrained has collaborated with IIMJobs for the Top Data science course Noida, which offers you access to their paid resume preparation kit & their personal feedback from experts from the HR domain. Experts prepare the individual career profile per the candidate's experience to ensure that it is relevant to the data science role.

Interview Preparation - data science course noida

Regular mock HR interviews with Technical interviews by mentors with personal support & guidance to each student. Industry mentors facilitate students to take projects so that their resume looks competitive and professional to the recruiters.

Placement - data science course noida

We generate each student's Ability Score, then it is sent to our 400 recruitment partners. We provide campus placements every 3 months to place our students in the best organizations all around.

Career Impact

DataTrained, in collaboration with offers the best online Data science course Noida. Over 150,000 Careers have been Transformed now and counting.

DataTrained has supported me with the critical skills required for a data scientist position. The trainer begins with an example to helps us build the Algorithms with real industry data sets. DT brings the power of online learning and Mentorship, Counseling, Live Sessions, and six months Internships.

Aaruni Khare, Data Scientist, RBS - data science course noida
Aruni Khare Data Scientist, RBS

I saw an ad from DT on Facebook, contacted them immediately & enquired about their Data Science course. Counselor took me through the whole content of what they offer & what data science is all about. After continued conversation for few weeks, I was relatively sure about the course, & now I knew where to invest my money & hard work.

Rakshit Jain, Data Scientist, Optum - data science course noida
Rakshit Jain Data Scientist, Optum

The program is a well-balanced combination of pre-recorded classes, weekend live sessions, and hardcopy reading materials they sent to my address. My mentor Amit Kaushik assisted me in getting that confidence and completing my assignments on time. I have nearly completed data science course & have been able to crack the Glenmark interview. Thank you so much, DataTrained.

Rupam Kumar Chaurasia, Head Sales, Glenmark - data science course noida
Rupam Kumar Chaurasia Head Sales, Glenmark
66% Average Salary Hike - data science course noida 66%

Average Salary Hike

Upto 25LPA Highest Salary - data science course noida Upto 25LPA

Highest Salary

7k+ Jobs Sourced  - data science course noida 7k+

Jobs Sourced

950+ Hiring Partners  - data science course noida 950+

Hiring Partners

Admission Process

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

Step 1: Fill in Query Form

Please fill up Query Form, & one of our counselors will call you & understand your Data science course Noida eligibility.

Step 2: Get Shortlisted and Receive Call

Our Admissions Team will review your profile. After successfully qualifying, an Email will be sent to you confirming your admission to the program.

Step 3: Block Seat and Start the Prep Course

Block your seat with the payment of fee to register in the program. Start with your Prep course & start your Data Science journey!

Data Science Course Fee

₹ 160000 + GST

No Cost EMI options are also available. *

data science course noida fees

I’m interested in this program

What's Included in the Price


Access to real-life 40 industry projects

6 Months online Internship part of the core curriculum

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Data Science Trends in Noida

The Internet of Things (IoT) is syncing and connecting all intelligent digital meshes, smart devices, apps, and people. The applications of data science field are far more sophisticated in the future.

Data science applications will offer clients a tailored experience through chatbots, augmented reality, and virtual reality, which will improve marketing and customer care services with product visualization and live demos.

Jobs or Vacancies in the field of Data Science Noida

E-commerce, social networking, call records, the Internet of Things, and other activities generate much data. Sophisticated tools and processes are required to handle, store, and analyze this data, which is continuously growing with time. Because of this, there will be a strong demand for and scope for data science specialists in the future, especially in the Noida region.

Salary in Noida for Data Science Professionals

In the Gurgaon region, the typical annual earnings for a data scientist is ₹ 8,17,728 per year. The supplemental cash salary for a data scientist in Noida ranges from ₹ 50,000 to ₹ 5,40,000, with an average of ₹ 1,52,410. Salary estimates are based on 689 anonymous salaries posted by Data Scientist employees in the Noida region on online platforms.

Data science course Noida with Placement

NOIDA often called as New Okhla Industrial Development Authority is a planned city located in the Gautam Buddha Nagar district in Uttar Pradesh. It is also a part of the National Capital Region (NCR) of India. As per Census of India 2011, the population is 642,381. The district's administrative HQ is in the nearby city of Greater Noida. It is also ranked the cleanest city in medium category cities (3 lakhs to 10 lakhs population) and the fourth cleanest city among cities with less than 1,000,000 people. Noida was ranked as the Best City in Uttar Pradesh and the Best City in Housing in all of India in "Best City Awards" conducted by ABP News in 2015. Noida is considered to be India's greenest city with nearly 50% green cover, the highest of any city in India.

Frequently Asked Questions

DataTrained's main goal is to provide the Best data science course Noida at a reasonable cost. Compared to other providers, we have a more reasonable pricing structure for our data science course Noida, and our costs are lower. We also offer cost-free EMI payments for the fees of data science course noida for the convenience of the students. We work hard to provide the best counseling services, a cost-effective, high-quality education, and work experience. We work with the most prestigious companies to place our students in a variety of Data Science professions. We pledge to make Data Science training available to everyone who is interested in learning. Please contact us to find out more.

Data science is not simply for people with a background in programming. Because it is such a broad topic, everyone can learn more about it. However, it is equally important to determine whether or not coding expertise is required.

It doesn't matter how much code you know if you want to work as a data scientist; what matters is that you have a firm grasp of and comfort level with basic programming.

A person must understand the basics of programming. This includes functions, if-else expressions, mean loops, and other programming constructs. A strong understanding of coding would be desirable for someone who wishes to work as a data scientist.

After completing the Data Science Course Noida, you would be qualified for a range of opportunities in the data science sector. Some of the data science jobs for which you might be qualified include the following:

  1. Data Analyst
  2. Data Engineer
  3. Data Scientist
  4. Database Administrator
  5. Data Architect
  6. Statistician
  7. Business Analyst
  8. Data and Analytics Manager
  9. Machine Learning Engineer

To enroll in the Data Science course in Noida, applicants must have a university-affiliated degree certificate. If aspirants have any questions about the eligibility process, please contact our helpline numbers. Following that, you must complete a brief form with your relevant information.

Our management will offer you access to the LMS or Learning Management System once you have submitted fees for your data science course Noida. This platform allows you to easily locate all of the pre-recorded videos pertaining to your course, allowing you to have a solid foundation for engaging with the instructors during the live session classes.

Yes, the DataTrained Data Science course Noida is suitable for freshers or beginners interested in pursuing a Data Science career. Our mentors will teach you from scratch to an expert level, allowing you to pursue this Data Science course Noida even if you have no technical skills. If you have doubts regarding the topics on the syllabus during the session, our mentors will guide you through and make sure that they are resolved as quickly as feasible. So, what are you holding out for? Join us now!

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.