Jeetech Academy Data Science Training Institute

Ultimate Data Science Job-Ready Training Program

Master Data Science Course in Delhi: 450+ Hours of Live Training & Placement Support.

Looking for the best data science institute in Delhi?

At Jeetech Academy, we provide industry-oriented data science training in Delhi designed for beginners, graduates, and working professionals. Learn Python, SQL, Machine Learning, and Power BI with real-time projects and 100% placement assistance.

šŸ‘‰ Start your career in Data Science with practical training and expert guidance.

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    DATA SCIENCE TRAINING COURSE IN DELHI WITH LIVE PROJECTS

    Jeetech Academy offers the best data science course in Delhi. The advanced data science training in Delhi included live projects .Our Data science course fees ranges from 25,000 to 45,000 with no cost EMI options available. The job oriented data science course at Jeetech Academy helps our students to crack interviews and acquire the best job role in the top data science company.

    The trainers provide in-depth study in data science concepts with the help of python, artificial intelligence, machine learning, deep learning and clear all the doubts during the training. Once you have completed the data science course, you will become industry-ready and can take any responsibility from the company. We help young talent to enhance their skills to become a successful data scientist in the future. We believe in the 3 stages learning process ā€œlearn-practice- implementā€ which helps students to gain better learning throughout the data science career.

    Our students learn all the concepts of data science from industry expert professionals who have more then 8+ years of experience in their domain.

    Data Scientist Skills Required 2026

    QUICK COURSE HIGHLIGHTS

    • Duration: 9-12 Months
    • Mode: Classroom + Online (Rohini Delhi)
    • Tools Covered: Python, SQL, Power BI, Machine Learning
    • Projects: Real-time industry projects
    • Placement Support: Yes (Resume + Interview + Jobs)
    • Certification: Industry-recognized

    WHY LEARN DATA SCIENCE IN DELHI?

    • Benefits of learning data science:
      • High demand in IT and analytics
      • Excellent salary packages
      • Opportunities in multiple industries
      • Career growth in AI and Machine Learning

    Career Opportunities in Data Science Course? 

    Limited Period Offer Call Now @Ā 9899894291

    Data Science Salary Trends in India 2026

    data science salery trends india

    MOST ADVANCED DATA SCIENTIST COURSE SYLLABUS

    Module 1: Introduction to Data Science & AI Ecosystem
    • What is Data Science?
    • Data Science Lifecycle
    • Types of Analytics
    • Business Intelligence vs Data Science
    • AI vs Machine Learning vs Deep Learning
    • Applications of Data Science in Industries
    • Career Opportunities in Data Science
    • Roles of Data Scientist, ML Engineer & AI Engineer
    • Setting Up Development Environment
    • Introduction to Jupyter Notebook & Google Colab
    Module 2: Excel for Data Analytics
    • Excel Basics
    • Data Formatting Techniques
    • Conditional Formatting
    • Data Cleaning in Excel
    • Sorting & Filtering
    • Pivot Tables & Pivot Charts
    • Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP)
    • Data Validation
    • Dashboard Creation
    • Business Reporting
    • Automation using Macros
    Module 3: SQL for Data Science
    • Introduction to Databases
    • DBMS & RDBMS Concepts
    • SQL Syntax & Queries
    • Filtering & Sorting Data
    • Aggregate Functions
    • Joins (Inner, Left, Right, Full)
    • Group By & Having Clause
    • Subqueries
    • Views & Indexing
    • Stored Procedures
    • Window Functions
    • SQL Optimization Techniques
    • Real-World SQL Projects
    Module 4: Python Programming Fundamentals
    • Python Installation & Setup
    • Variables & Data Types
    • Operators & Expressions
    • Conditional Statements
    • Loops & Iterations
    • Functions & Lambda Expressions
    • File Handling
    • Exception Handling
    • Modules & Packages
    • OOPs Concepts
    • Python Best Practices
    • Ā 
    Module 5: Python Libraries for Data Science
    • NumPy Fundamentals
    • Arrays & Matrix Operations
    • Pandas DataFrames
    • Data Import & Export
    • Data Cleaning Techniques
    • Missing Value Handling
    • Data Transformation
    • Data Aggregation
    • Data Wrangling
    • Time Series Data Handling
    • Ā 
    Module 6: Statistics & Mathematics for Data Science
    • Descriptive Statistics
    • Inferential Statistics
    • Measures of Central Tendency
    • Probability Theory
    • Probability Distributions
    • Normal Distribution
    • Sampling Techniques
    • Hypothesis Testing
    • Z-Test & T-Test
    • ANOVA
    • Correlation & Covariance
    • Linear Algebra Basics
    • Calculus Fundamentals
    • Statistical Thinking for Data Science
    • Ā 
    Module 7: Exploratory Data Analysis (EDA)
    • Introduction to EDA
    • Data Profiling
    • Outlier Detection
    • Feature Engineering
    • Correlation Analysis
    • Trend Analysis
    • Data Visualization Techniques
    • Business Insight Extraction
    • Handling Imbalanced Data
    • EDA using Real Industry Datasets
    • Ā 
    Module 8: Data Visualization & Business Intelligence
    • Matplotlib
    • Seaborn
    • Interactive Visualizations
    • Plotly Basics
    • Dashboard Design Principles
    • Storytelling with Data
    • KPI Reporting
    • Business Dashboards
    • Data Reporting Automation
    • Ā 
    Module 9: Power BI for Business Analytics
    • Introduction to Power BI
    • Data Import & Transformation
    • Power Query Editor
    • Data Modeling
    • DAX Functions
    • Dashboard Development
    • Interactive Reports
    • Real-Time Analytics
    • Business KPI Visualization
    • Publishing Reports to Cloud
    • Ā 
    Module 10: Machine Learning Fundamentals
    • Introduction to Machine Learning
    • Types of Machine Learning
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
    • Bias vs Variance
    • Overfitting & Underfitting
    • Cross Validation
    • Feature Scaling
    • Model Evaluation Metrics
    • Ā 
    Module 11: Supervised Machine Learning Algorithms
    • Linear Regression
    • Multiple Linear Regression
    • Logistic Regression
    • Decision Trees
    • Random Forest
    • Naive Bayes
    • K-Nearest Neighbors (KNN)
    • Support Vector Machines (SVM)
    • Ensemble Learning
    • XGBoost Basics
    • Model Performance Optimization
    • Ā 
    Module 12: Advanced Machine Learning
    • Hyperparameter Tuning
    • Grid Search & Random Search
    • Feature Selection Techniques
    • Dimensionality Reduction
    • PCA
    • Model Pipelines
    • Handling Real-World ML Challenges
    • Advanced Ensemble Techniques
    • ML Deployment Concepts
    • Ā 
    Module 13: Unsupervised Learning
    • Clustering Concepts
    • K-Means Clustering
    • Hierarchical Clustering
    • DBSCAN
    • Association Rule Mining
    • Recommendation Systems
    • Customer Segmentation
    • Anomaly Detection
    • Ā 
    Module 14: Deep Learning & Neural Networks
    • Introduction to Deep Learning
    • Artificial Neural Networks (ANN)
    • Activation Functions
    • Backpropagation
    • TensorFlow Fundamentals
    • Keras Framework
    • Convolutional Neural Networks (CNN)
    • Recurrent Neural Networks (RNN)
    • Transfer Learning
    • Real-World Deep Learning Applications
    • Ā 
    Module 15: Natural Language Processing (NLP)
    • Introduction to NLP
    • Text Cleaning Techniques
    • Tokenization
    • Stemming & Lemmatization
    • Vectorization Techniques
    • Sentiment Analysis
    • Text Classification
    • Named Entity Recognition
    • Chatbot Development
    • NLP Projects
    • Ā 
    Module 16: Generative AI & Prompt Engineering
    • Introduction to Generative AI
    • ChatGPT & Large Language Models
    • Prompt Engineering
    • AI Content Generation
    • AI Automation
    • AI Agents Basics
    • OpenAI APIs
    • AI Ethics & Responsible AI
    • Real-World GenAI Use Cases
    • Ā 
    Module 17: Big Data & Cloud Computing
    • Introduction to Big Data
    • Hadoop Ecosystem
    • Apache Spark Fundamentals
    • Cloud Computing Basics
    • AWS for Data Science
    • Data Pipelines
    • Cloud-Based Analytics
    • Ā 
    Module 18: Time Series Analysis
    • Time Series Fundamentals
    • Forecasting Techniques
    • ARIMA Models
    • Seasonal Analysis
    • Business Forecasting Projects
    • Ā 
    Module 19: Model Deployment & MLOps Basics
    • Model Serialization
    • Flask API Basics
    • Streamlit Deployment
    • Introduction to Docker
    • CI/CD Concepts
    • MLOps Fundamentals
    • Deploying ML Models
    • Ā 
    Module 20: Real-Time Industry Projects
    • Beginner Projects

      • Sales Dashboard
      • Student Performance Analysis
      • E-commerce Analytics

      Intermediate Projects

      • Customer Churn Prediction
      • Loan Approval Prediction
      • HR Analytics

      Advanced Projects

      • Recommendation System
      • AI Chatbot
      • Fraud Detection System
      • Stock Market Prediction
      • Sentiment Analysis
      • Healthcare Prediction System
    Module 21: Capstone Projects
      • End-to-End Industry Projects
      • Team-Based Real-World Implementation
      • Project Documentation
      • GitHub Portfolio Development
      • Live Project Deployment
    Module 22: Resume Building & Placement Preparation
    • Resume Optimization
    • LinkedIn Profile Building
    • GitHub Portfolio
    • Mock Interviews
    • HR Preparation
    • SQL Interview Questions
    • Python Coding Interview Questions
    • Machine Learning Interview Questions
    • Aptitude Training
    • Communication Skills

    DATA SCIENTIST COURSE DELHI KEY BENEFITS

    Data analytics insight, analyst revealing key trends on a large screen, team watching intently

    WHAT IS DATA SCIENCE ?

    In the data science, a lot of data is available online and generated regularly. Big brands and organisations are looking for people to decode the unstructured or raw data and transform it into useful information. So that with the help of analyzed data reports the company can measure the predictive growth and make informed business decisions. Here the role of data scientist provides the best solution to the company.Ā 

    Data science is a technique which is used to simplify the complex or unstructured data so that business can draw conclusions and derive better results. Data science helps companies to find out the consumer buying behaviour, new trends in the market, etc. All these things are analyzed with the help of data science tools and techniques that you will learn during data science course training in Delhi.Ā 

    Data science is the top trending and booming sector in the IT market. The companies are in large demand for data science professionals.

    DATA SCIENCE PROCESS

    data science process 2026 jeetech academy delhi

    WHO IS A DATA SCIENTIST?

    A data scientist plays a major role in the organization. This is a profession where people work on data – that includes data collection, data cleansing, data mining, statistical analysis, forecasting, predictive modeling, and at last optimize the data in a simple form. 

    A data scientist not only provides the solution, but they also provide the most optimized solution for the company. Many researchers say that data science demand will rise by 2027. The role of the data scientist is in large demand and also has multiple job opportunities.

    Have any query?

    I want to start with free Demo!

    Call Now @Ā 9899894291

    TRAINER’S PROFILE OF DATA SCIENCE TRAINING INSTITUTE IN DELHI

    Our trainers train every student as per industry standards and explain each data science topic with real examples. The data science course in rohini trainers focus more on concept building of the students and provide freedom to explore the subject. Our industry expert trainers help students in their projects and prepare them for job interviews. Students can ask any question or query during the class.

    DATA SCIENCE TRAINING INSTITUTE IN DELHI WITH PLACEMENT

    Once the data science course has been completed, you can apply for multiple job roles in data science. Your previous work experience plays a major role in making a better career in data science. With the help of a data science certificate course after 12th, you can lead your career for a data scientist role.Ā 

    Jeetech Academy successfully placed many students who are currently working with MNC companies.

    The institute provides placement assistance to the candidate which supports the students. After sucessfull completion of the course with live projects.

    Our institute trainers assist students in developing the best resume as per the requirements of the company.

    Jeetech Academy conducts mock interview sessions, communication classes, English classes, and personality development classes to enhance the skills of students.

    The training institute builds concepts of students that help students to secure jobs in top firms like HCL, TCS, Wipro, Accenture, and many more.

    wHAT YOU LEARN AT BEST DATA SCIENCE INSTITUTE COURSE IN DELHI

    In a data-driven environment, the course of data science prepares you for serving the demand for big data skills and technology in all industries. There are huge career opportunities available after the completion of a data science certificate program.

    The data science course in Delhi, NCR is one of the most demanding skills in the industry today. The course is designed for both working professional and fresher students who want to enhance their career in the top-trending profession. The data science training trains the students with logical and programming abilities and helps them to build data science models.

    During training, the student will be able to create machine learning algorithms like K-means, clustering, and decision trees to solve problems and derive results effectively. In the six-month training program, students also gain knowledge in various techniques such as statistical analysis, Regression analysis, Data mining, Machine learning, forecasting text mining, and scripting algorithm for the same with python and R programming. 


    You will gain an understanding of the concept of Neutral networks and black box techniques.

    DATA SCIENCE COURSE ELIGIBILITY?

    Candidates from different academic backgrounds like engineering, finance, maths, statistics, and business management who want to start their career in the data science profession. Aspiring candidates from a non-technical background are recommended to have prior skills like excel, SQL, Tableau, etc. To get support about your career path you can connect with our career counselor team.

    Key Feature Of The Data Science Course In Delhi

    SEVERAL JOB PROFILES ARE AVAILABLE AFTER COMPLETING DATA SCIENCE COURSE IN DELHI

    The data science concept is used by many industries in various sectors. Several industries are getting benefits from data science techniques. Several industries include banking, the gaming industry, healthcare industry, telecommunication firms, travel industries, insurance firms, etc. use the data science process to get projection. After completion of the best data science certification course in Delhi, as a fresher, there is a large opportunity for your career in data science.

    The several job profiles for certified data professionals are as follows.

    Continuous Support

    We provide continuous support to the students after the completion of the best data science course in Delhi. The students can revisit the institute if they have any queries and need support from us. We provide complete guidance to the candidate in terms of jobs and internships.

    1. PROFILE BUILDING

    The industry-certified trainers help you to build your online presence and guide you in developing your CV based on academic qualifications and experience.

    2. INTERVIEW PREPARATION

    During data science training in Delhi, you will attend several mock interview sessions that will help you to build confidence and improve your communication skills. These improved skills will land you in your dream job.

    3. JOB REFERRALS

    Our lot of trained students are already working with the top MNC companies. We get various referrals from our alumni students. Our placement team always linked with these referral links and provide the best job opportunities to the current candidates. The trainers also have linked with the company HR. Our trainer also supports students to get placed in a good company.

    FAQs

    Common Questions

    Category A

    Yes, after completing all the assignments, you will be awarded a course completion certificate. This certificate makes you eligible for the data science job.

    This is the best data science course for freshers and working professionals. It is the best institute for data science training in Delhi. Many students have trust in Jeetech Academy. The course provides knowledge in mathematics, statistics, and data science. Students learn from the most popular languages Python and R.

    You will attend 184 hours of classroom training and the course will be completed in 4 months. After the completion of the course, you have the facility to access or rejoin the classes, if you have queries. The institute provides complete guidance for a lifetime.

    Category B

    Jeetech Academy is one of the best data science courses in Delhi that offers data science with python and R languages.

    The average salary of data science is Rs.6 lakh per annum. A senior data scientist has no limit for earning.

    If you miss a class for any reason, we will arrange the class in the next upcoming batches, so that you never leave a concept.

    Category C

    Yes, we provide placement facilities to the students. Our placement team prepares each student for the interview and helps in building a resume. We also provide internship opportunities for the candidate.

    The institute provides full course study material and handwritten notes by faculty. The trainers provide all the study material during classroom training.

    Yes, An individual who has a graduation degree can enroll in the data science training program. The institute provides practical hands-on experience to the candidate.

    Category D

    You don’t need to bring anything, you will be provided with a laptop at the institute.

    Any individual who completed 12th and interest in computer languages can join the data science training institute.

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