Empowering Tech Careers Through Data Science & AI

Our Data Science & AI Learning Program is designed for beginners, career switchers, and aspiring tech professionals, offering a structured learning path with strong fundamentals, hands-on real-world projects, expert-led mentoring, lifetime LMS access, and dedicated career guidance to help you build a successful tech career.

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NASSCOM-Certified Data Science Program with Python, Internship & Placement Assistance

This advanced NASSCOM FutureSkills Prime Certified Data Science course in Hyderabad guarantees career transformation. Here’s a one-time opportunity to learn with the best Data Science training in Hyderabad. Gain knowledge of data analytics, tools, and operations for data science certification and meet the massive demand for these skills. 

Here you will learn to read, analyze, clean, engineer, and present data in a way that promotes the growth of your business. To drive data and extract significant results, this Data Science course can help you progress in leaps and bounds. This NASSCOM FutureSkills Prime Certified Data Science training will accelerate your career as it covers relevant topics & pushes you to work on real-time scenarios. 

Artificial Intelligence and Machine Learningin Data Science technology are constantly revolutionizing the industry by innovating and solving complex business problems. 

Our principle of holistic development lies in the strong bedrock that believes in the amalgamation of theoretical knowledge along with practical training. 

PREREQUISITE: The candidate must be pursuing a Bachelor’s Degree. Previous coding experience is an added benefit.

Our Hiring Partners

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Tools & Platforms

Curriculum Highlights

Module 1: Python Core & Advanced

INTRODUCTION

    • Variables, Data Types, and Strings
    • Lists, Sets, Tuples, and Dictionaries

    Control Flow and Conditional Statement, Functions, Modules and File Handling Class and Objects

    Module 2: Data Analysis using Python

    Numpy – NUMERICAL PYTHO
    Data Manipulation with Pandas

    DATA VISUALIZATION

    Data Visualization using Matplotlib and Pandas
    Exploratory Data Analysis

    UNSTRUCTURED DATA PROCESSING

    Regular Expressions

    Project On Web Scraping: Data Collection And Exploratory Data Analysis

    Module 3: Advanced Statistics

    Introduction to Statistics and Data Types
    Descriptive Statistics
    Probability Distribution
    Inferential Statistics

    Module 4. Data Base (SQL) + Reporting Tool (Power BI)

    Introduction to SQL
    Data Exploration and Data Filtering (DQL and OPERATORS)
    SQL Fundamentals
    SQL Database Objects
    Advanced Topics
    Introduction To Power BI
    Data Import And Data Visualizations
    Power Queries
    Power Pivot And Introduction To Dax
    Data Analysis Expressions
    Login, Publish To Web And RLS
    Miscellaneous Topics

    Module 5: Machine Learning - Supervised & Un-Supervised Learning

    Introduction
    Validation Methods 

      Supervised Learning

      Probability-Based Approach – Naive BayesPolynomial Regression
      Introduction And Linear Algebra
      Distance Based Approach – K Nearest Neighbors
      Rule / Decession Boundary Based Approach – Decision Trees
      Boundary-Based Linear Model – Linear Regression
      Multiple Linear Regression
      Evaluation Metrics for Regression Techniques
      Polynomial Regression
      Regularization Techniques
      Logistic regression
      Support Vector Machines
      Ensemble Methods in Tree Based Models
      Random Forest
      Boosting: Adaboost, Gradient Boosting, XG Boosting:
      Machine Learning Applications for Data Analysis
      Un Supervised Learning

      Dimensionality Reduction Techniques – PCA & t-SNE
      K-Means Clustering
      Hierarchical Clustering

      Module 6: Deep Learning

      Introduction to Deep Learning Principal Components Analysis
      Neural Network Architecture and Activation Functions
      Forward and Backward Propagation Optimizers
      Neural Network Architecture and Activation Functions
      Keras Hands-on – Regression and Classification

      Module 7: CNN & Computer Vision

      Intro to Images and Image Preprocessing with OpenCV CNN Architecture
      Image Classification Case Study
      Transfer Learning
      Case Study with Transfer Learning
      Object Detection
      YOLO – Case Study

      Module 8: Natural Language Processing

      Introduction to text and Text Preprocessing with nltk and spacy
      Vectorization Techniques
      Project – Text Classification
      RNNs
      Project – Sequence Tagging
      LSTMs
      Auto Encoders
      Transformer and Attention
      BERT

      Module 9: Gen AI

      Intro To Gen AI
      Intro To LLM
      Prompt Engineering and Working with LLM
      Open AI
      Gemini
      LLaMA
      LangChain

      Eligibility Criteria

      ✅Education: Bachelor’s degree in any field.

      ✅ Helpful Skills: Basic knowledge of programming and statistics is a plus (not required).

      ✅ Who Can Join? Beginners, analysts, or working professionals looking to transition into data science.

      Tools & Platforms

      Logo Logo Logo Logo Logo Logo Logo Logo Logo Logo Logo Logo Logo Logo

      Why Choose Data Science at Innomatics?

      Why should you choose Innomatics

      500+ Industry experts from Fortune 500 companies

      Dedicated In-house data scientist team accessible round the clock

      200+ Hours of intensive practical-oriented training

      Flexible Online and Classroom training sessions

      5+ Parallel Data science batches running currently on both weekdays & weekends

      Backup Classes and Access to the Learning Management System (LMS)

      One-to-one mentorship and Free Technical Support

      Projects and use cases derived from businesses

      Domain-focused teach-back sessions and reverse presentations

      Free tech assistance and personalized career guidance

      30+ POCs and use cases to work, learn, and experiment

      Biweekly industry connections from industry experts from various sectors

      Opportunity to participate in Meet-ups, Hackathons, and Conferences

      Dedicated training programs for NON-IT professionals

      100% Placement Assistance

      Globally Recognized Certification from NASSCOM FutureSkills Prime

      Program highlights

      Innomatics Placement Achievers

      Meet the Success Stories of Our Innomatics

      Career transition support that helps you get hired

      Mock Interviews & Resume Makeover

      Participate in expert-led mock interviews and receive professional resume enhancement aligned with current industry standards.

      Project Portfolio Enhancement

      Strengthen your portfolio with real-world, industry-focused projects that effectively showcase your data science expertise.

      Access to Exclusive Job Portal & Placement Drives

      Get priority access to Innomatics’ hiring network, job portal, and regular placement drives with top companies.

      Our career support guides you from resume-ready to interview-confident for top-tier roles.

      This program is right for

      Career Opportunities after the Data Science Course

      $28.36 billion

      growth of the AI market by 2030

      20 million

      new AI-related roles by 2026

      ₹500 billion

      GDP growth of India by 2026

      Data Scientist

      AI Engineer

      NLP Engineer

      AI Consultant

      Data Engineer

      Data Analyst

      GenAI Engineer

      Business Analyst

      ML Engineer

      Big Data Engineer

      Career Opportunities after the Data Science Course

      Data Scientist

      AI Engineer

      NLP Engineer

      AI Consultant

      Data Engineer

      Data Analyst

      GenAI Engineer

      Business Analyst

      ML Engineer

      Big Data Engineer

      $28.36 billion

      growth of the AI market by 2030

      20 million

      new AI-related roles by 2026

      ₹500 billion

      GDP growth of India by 2026

      Industry-Recognized Certification’s 

      Course Completion Certificate

      Internship Certificate

      Interview Preparation Certificate

      General Queries & Answers

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      What will I learn in NASSCOM FutureSkills Prime certified Data Science?

      In Data Science, you will learn how to find valuable data, analyze and apply mathematical skills to it to use in business for making great decisions, developing a product, forecasting, and building business strategies. 

      What is the average salary of a Data Scientist?

      In India, Data Scientist salaries vary widely, typically ranging from ₹3 LPA to ₹20 LPA, depending on skills and experience. Here’s a quick breakdown:

      Data Analyst: ₹3–7 LPA

      Junior Data Scientist: ₹6–9 LPA

      Data Scientist: ₹10–15 LPA

      Are there any prerequisites to learn the Data Science course?

      One need not have any major knowledge in Data Science. A basic understanding of technology is all enough to get started. It is better to possess knowledge of mathematical and communication skills, Python, R, and SAS tools.

      What are my takeaways after completion of the Data Science course?

      Based on the program you choose, you will get a course completion certificate from Innomatics. Mastery-level certification from NASSCOM FutureSkills Prime.

      What are the career opportunities in Data Science Technology?

      As data has become the never-ending part of this world, businesses need people to work with data for effective business processing. Organizations are ready to recruit and pay top dollars to the right dollars, which can leverage the business.

      Here are some of the roles you can find in Data Science

      • Research Analyst
      • Data Scientist
      • Data Analyst
      • Big Data Analytics Specialist
      • Business Analyst Consultant / Manager
      • Data analyst
      If I study Data Science course in Hyderabad, is placement guaranteed?

      Apart from the training, we do provide placement and career assistance with capstone projects and hands-on training after completing the course successfully. We do offer internship programs, mockup interviews, hackathons to gain more knowledge and explore a wide range of job opportunities.

      What is the eligibility criteria to learn Data Science course?

      Anyone who has a bachelor’s degree, a passion for data science, and little knowledge of it are eligibility criteria for the Data Science Course.