Mastering Data Science with ML, DL and NLP

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    About the Course

    Unlock the power of data with our comprehensive Data Science course, designed to equip you with the skills and knowledge to excel in the rapidly evolving field of data science. This course covers the essential concepts and techniques in Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP), providing a solid foundation for aspiring data scientists.

    Learning Outcomes:
    1. By the end of this course, you will be able to:
    2. Understand and apply key data science concepts and techniques.
    3. Build and evaluate machine learning models for various tasks.
    4. Design and implement deep learning architectures for complex problems.
    5. Utilize NLP methods to analyze and interpret textual data.
    6. Develop end-to-end data science projects, from data collection to model deployment.

    Program Highlights

    Industry Experts

    Capstone Projects

    Hands-on Learning

    Industry-Aligned
    Curriculum

    Career guidance

    Accredited Certification

    Future-Ready Skills

    AI-powered Resume
    building

    Leading the way in practical education

    Students Trained
    0
    Facilitated Placements
    0
    Hours of Training
    0
    Years Operations
    0

    We are widely accredited

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    Data Science Course Curriculum

    This course provides a comprehensive introduction to data science, including the use of programming languages (like Python or R), machine learning, statistical analysis, and data visualization. Students will learn how to work with large datasets, clean and preprocess data, and apply various algorithms to make data-driven decisions.

    A Data Science course typically covers the principles, tools, and techniques needed to analyze, interpret, and present data. Here’s a summary of what such a course might include:

    Module -1: Introductory Session
    • Business understanding
    • Data understanding
    • Basics
    • Control Flow: If-Else, Loops, Functions
    • Data Structures: Lists, Tuples, Dictionaries, Sets
    • File Handling: Read/Write CSV & JSON Files
    • Error Handling: Try-Except Blocks
    • Advanced: List Comprehensions, Dictionary Comprehensions, Date Time Module
    • DataFrame & Series Manipulation
    • Data Cleaning, Filtering & Aggregation
    • Merging & Joining Datasets
    • Basic Data Visualization
    • Arrays: Creation, Indexing, Slicing
    • Mathematical & Statistical Operations
    • Broadcasting & Reshaping
    • Performance Optimization Over Lists
    • CRUD Operations
    • Filtering Data, Joins
    • CTE & Subqueries
    • Window Functions
    • Measures of Central Tendency, Measures of Dispersion
    • Probability Theory
    • Continuous Probability Distributions
    • Hypothesis Testing
    • Inferential Statistics & Sampling Techniques
    • Text Preprocessing
    • Text Representation Techniques (Converting Text into Machine-Readable Format)
    • POS, Feature Engineering
    • Sentiment Analysis & Text Classification
    • Supervised Learning
    • Unsupervised Learning
    • Model Evaluation
    • Feature Engineering & Feature Selection
    • Neural Networks: Basics, Activation Functions
    • Optimizers, Loss Functions
    • CNNs for Image Processing
    • RNNs & LSTMs for Text Data
    • Gated Recurrent Units (GRUs)
    • Final Project Completion
    • HR Session with Industry Experts
    • ATS friendly resume preparation
    • LinkedIn Profile Optimization
    • Interview Secret Tips

    Who is this course for?

    Why Choose This Course?

    Training Delivery

    Discovery call

    A call to evaluate training requirements and adjust course and delivery accordingly.

    Tech call with the Certified Instructor

    A call with the Certified Instructor to address specific queries and requirements.

    Design of Customized Curriculum

    Tailored curriculum to meet specific learning objectives and organizational needs.

    Training and Access to LMS

    Commencement of training sessions along with access to the Learning Management System.

    Live training

    Live training sessions conducted in real time to facilitate interactive learning experiences.

    Hands on Role Based training with Labs

    Interactive training featuring hands on exercises and specialized labs tailored to specific skillset

    Course Materials Access using LMS

    Access course materials conveniently through the Learning Management System.

    Student Progress Metrics

    Monitor student progress through comprehensive metrics and analytics.

    Final Quiz in Gamification style

    Concluding the training with a gamified final quiz to engage learners and reinforce key concepts.

    Certificate of Completion (Verifiable)

    Participants provided with a verifiable Certificate of Completion upon successfully finishing the training.

    Student Video Testimonial

    Watch heartfelt testimonials from our students, sharing their firsthand experiences and
    success stories about their transformative learning journeys at our institution.

    Hear from our students

    Explore firsthand accounts of student experiences. Hear their stories, triumphs, and insights that make our community exceptional. Real voices, real impact.

    Mastering Data Science with ML, DL and NLP

    Classroom / Live Online​
    120000
    60,000
    • INR 29,999 now and INR 29,999 post placement of 3 months

    Mastering Data Science with ML, DL and NLP

    Recorded 1 year Access
    14,999
    • Data Science with ML, DL and NLP classes with unlimited mocks, a comprehensive question bank, and personalized doubt solving.






      Starting Live Classes Batch Date Batch Timing Weekend Batches
      SAP MM
      SAP SD
      SAP ABAP
      SAP FICO
      3rd May 8:00 PM - 9:00 PM
      9:00 PM - 10:00 PM
      2:00 PM - 5:00 PM
      Data Science & AI 3rd May 7:00 PM - 8:15 PM 10:00 AM - 12:00 PM (from 20th April)
      Power BI 21st April 9:00 PM - 10:00 PM