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    Top 9 Data scientist Course in Delhi with Placement

    Top 9 Data scientist Course in Delhi with Placement

    31 Mar 2025

    1045

    In today's data-centric world, the need for proficient data scientists is rapidly increasing. Delhi, with its robust educational ecosystem and thriving tech industry, offers a variety of top-tier data scientist courses designed to equip learners with the skills needed to succeed in this high-demand field. Whether you are a beginner or an experienced professional looking to upskill, these courses provide comprehensive training and practical experience.


    Here are the Top 9 Data scientist courses in Delhi, each offering a unique blend of theory and hands-on learning.



    1. Brillica Services


    Course Highlights:


    • Comprehensive curriculum covering essential tools and techniques.


    • Focus on practical training with real-world projects.


    • Industry-certified instructors with extensive experience.


    • Strong placement support and industry connections.


    Curriculum:


    Introduction to Python


    • What is Programming?


    • Historical Evolution of Programming


    • What is Python?


    • Features of Python


    • Fundamentals of Python Programming (Tokens, Operators)


    • Conditional Statements (if else, nested if else, elif)


    • Iterative Statements (for loop, while loop)


    • Functions in Python (Recursion, HOF, Lambda)


    • Collections in Python (List, Tuple, Dictionary, Set, String)


    • Modules in Python


    • File Handling and Exception Handling


    • OOPS Concepts


    • Multithreading


    • Database Connectivity


    NumPy


    • Introduction to NumPy


    • Arrays in NumPy


    • Multi-Dimensional Arrays


    • Operations on Array


    • Conversion of Python object into NumPy array


    • In-built functions to create an array


    • Insert, Update, Append, Merge, Reshape, Delete, Sort, Filter, Traversal, etc.


    • Broadcasting and Vectorization


    Pandas

    • Introduction to Pandas


    • Series in Pandas


    • DataFrames in Pandas


    • Slicing and Splicing operations


    • Conversion of Python object into DataFrame


    • In-built functions to create Pandas


    • Import and Export Dataset (CSV, Excel, SQL)


    • Insert, Update, Append, Merge, Reshape, Delete, Sort, Filter, Traversal, etc.


    Exploratory Data Analysis and Visualization


    • Introduction to EDA


    • Statistics


    • Types of Data


    • Data Profiling, Cleaning, Analysis


    • EDA using library built-in datasets


    • Visualization using Seaborn


    • Visualization using Matplotlib


    • Projects: Car Agency Dataset, Used Car Analysis, Country GDP and Life Expectancy Analysis


    Feature Engineering


    • Feature Transformation


    • Feature Scaling


    • Feature Extraction


    • Feature Encoding


    • Feature Augmentation


    • Upsampling and Downsampling


    Machine Learning


    • Introduction to ML


    • Statistics


    • Supervised Learning
    • Regression Algorithms
    • Classification Algorithms


    • Unsupervised Learning
    • Clustering Algorithm


    • Projects: Forest Fire Prediction, House Price Prediction, Diamond Price Prediction


    Deep Learning


    • Introduction to Deep Learning


    • Statistics


    • Concept of Perceptron


    • Artificial Neural Network (ANN)


    • Forwardfeed and Backpropagation


    • Convolutional Neural Network (CNN)


    • Recurrent Neural Network (RNN)


    • Seq2Seq Model


    • LSTM and GRU


    • Attention Mechanism


    • AutoEncoder


    • Pre-Trained Models - GPT and BERT


    Natural Language Processing


    • Introduction to NLP


    • Statistics


    • Tokenization and Lemmatization


    • Concept of Vectorization


    • Types of Vectorization Techniques


    • Text preprocessing


    • Deep Learning Concepts behind the NLP


    • Recurrent Neural Network (RNN)


    • Projects: Recommendation System, Spam Classification


    Computer Vision


    • Introduction to Computer Vision


    • Introduction to OpenCV


    • Fundamental of Image Processing


    • Feature Detection


    • Color Processing


    • Clustering and Classification


    • Play with Video


    • Arithmetic Operations


    • Denoising and Translation


    • Morphological Operations


    • Drawing of shapes


    • Image Registration and Filtering


    • Faster RCNN


    • Yolo


    • Projects: Image Classification, Object Tracking



    Why Choose Brillica Services?


    • Industry-relevant curriculum


    • Strong focus on practical training


    • Excellent placement support


    • Industry-certified instructors


    2. Hansraj College


    Course Highlights:


    • Certified courses in Data Science and Business Intelligence.


    • Hands-on training with industry-standard tools.


    • Flexible learning options, including online and classroom training.


    Curriculum:


    • Data Science Fundamentals



    • Big Data Analytics


    • Data Visualization



    Why Choose Hansraj College?


    • Certified courses


    • Flexible learning options


    • Industry-standard training


    3. NIIT


    Course Highlights:


    • Comprehensive programs in Data Science and Analytics.


    • Focus on industry-relevant skills and certifications.


    • Strong alumni network and placement support.


    Curriculum:


    • Data Science Fundamentals


    • Advanced Analytics


    • Machine Learning and AI


    • Data Visualization


    • Capstone Projects


    Why Choose NIIT?


    • Industry-relevant curriculum


    • Strong alumni network


    • Excellent placement support


    4. Excel R


    Course Highlights:


    • Comprehensive courses in Data Science and Analytics.


    • Hands-on training with real-world projects.


    • Industry-certified instructors.


    Curriculum:


    • Data Science Fundamentals


    • Advanced Analytics


    • Machine Learning


    • Data Visualization


    • Capstone Projects


    Why Choose Excel R?


    • Comprehensive curriculum


    • Hands-on training


    • Industry-certified instructors


    5. Boston Institute of Analytics


    Course Highlights:


    • Certified courses in Data Science and Analytics.


    • Focus on practical training and industry-relevant skills.


    • Strong placement support and industry connections.


    Curriculum:


    • Data Science Fundamentals


    • Advanced Analytics


    • Machine Learning


    • Data Visualization


    • Capstone Projects


    Why Choose Boston Institute of Analytics?


    • Certified courses


    • Practical training


    • Strong placement support


    6. Analytix labs


    Course Highlights:


    • Comprehensive courses in Data Science and Analytics.


    • Focus on hands-on training and industry-relevant skills.


    • Flexible learning options, including online and classroom training.


    Curriculum:


    • Data Science Fundamentals


    • Advanced Analytics


    • Machine Learning


    • Data Visualization


    • Capstone Projects


    Why Choose Analytixlabs?


    • Comprehensive curriculum


    • Hands-on training


    • Flexible learning options


    7. Learnbay


    Course Highlights:


    • Certified courses in Data Science and Analytics.


    • Focus on practical training and industry-relevant skills.


    • Strong placement support and industry connections.


    Curriculum:


    • Data Science Fundamentals


    • Advanced Analytics


    • Machine Learning


    • Data Visualization


    • Capstone Projects


    Why Choose Learnbay?


    • Certified courses


    • Practical training


    • Strong placement support


    8. Dice Academy


    Course Highlights:


    • Comprehensive courses in Data Science and Analytics.


    • Focus on hands-on training and industry-relevant skills.


    • Flexible learning options, including online and classroom training.


    Curriculum:


    • Data Science Fundamentals


    • Advanced Analytics


    • Machine Learning


    • Data Visualization


    • Capstone Projects


    Why Choose Dice Academy?


    • Comprehensive curriculum


    • Hands-on training


    • Flexible learning options


    9. Ducat


    Course Highlights:


    • Comprehensive courses in Data Science and Analytics.


    • Focus on practical training and industry-relevant skills.


    • Strong placement support and industry connections.


    Curriculum:


    • Data Science Fundamentals


    • Advanced Analytics


    • Machine Learning


    • Data Visualization


    • Capstone Projects


    Why Choose Ducat?


    • Comprehensive curriculum


    • Hands-on training


    • Strong placement support



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    Conclusion


    Choosing the right data scientist course in Delhi can significantly impact your career. Each of these top-tier institutes offers comprehensive programs tailored to meet the needs of aspiring data scientists. Whether you are a beginner or an experienced professional, these institutes provide the necessary skills and knowledge to excel in the field of data science. Consider your career goals and learning preferences when selecting the best institute for you. Enroll today and unlock your potential in this exciting and in-demand field.


    FAQs


    1. What is the best data scientist course in Delhi?


    Ans. Brillica Services is highly regarded for its comprehensive curriculum and industry-certified instructors.


    2. What is the duration and fees for the data scientist course?


    Ans. The course duration is typically 6 months, with fees ranging from ₹50,000 to ₹1,00,000.


    3. Which course is best for a data scientist?


    Ans. The best course depends on your goals and background. Brillica Services offers a well-rounded program suitable for most learners.


    4. Can I enroll in the course if I am a beginner?


    Ans. Absolutely! The course is designed for beginners and provide a solid foundation in data science. Brillica Services, for example, offers a comprehensive curriculum suitable for beginners.


    5. What is the learning mode for these courses?


    Ans. Most courses offer flexible learning options, including offline and online learning modes to fit your schedule and learning style.


    6. What tools and technologies are covered in the course?


    Ans. The course covers essential tools and technologies such as Python, SQL, Excel, Git, Hadoop, Spark, Matplotlib, Seaborn, and more.


    By carefully considering these factors and exploring different options, you can choose the right data scientist course to enhance your career and achieve your goals.

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