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Become a Data Science Professional

Master the future of artificial intelligence with our comprehensive Data Science and Machine Learning course.

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10K+
Successfully Trained

Data Science Internship
with Grras

Master the future of artificial intelligence with our comprehensive Data Science and Machine Learning course. Gain in-depth expertise in Python and R programming, advanced data structures, statistics, and machine learning algorithms. Learn industry-standard tools including NumPy, Pandas, Tableau, and Scikit-learn, plus Big Data technologies like Hadoop and cloud platforms (AWS, GCP, Azure).

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15K+ Classes Completed
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97% Satisfaction Rate
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102K+ Students Community

Earn an ISO-Certified Training Certificate

Earn a Data Science Internship Certificate that reflects practical experience in data analysis, machine learning, and data visualization. During the internship, you will work with industry tools such as Python, SQL, Power BI, and Tableau to analyze data and build real-world solutions. This internship is designed for students and early professionals who want hands-on exposure to data-driven projects, helping you develop job-ready skills and a strong foundation for entry-level roles in data science and analytics.

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Data Science Internship Curriculum with Grras Solutions

Comprehensive Learning Path: From Python Fundamentals to Advanced Machine Learning & Big Data Architecture. Our curriculum systematically builds your expertise through hands-on projects, real-world datasets, and industry best practices. Master the complete data science stack—from core programming and algorithms to distributed computing, cloud platforms, and AI-driven solutions that power modern enterprises.

Understanding Database & Connectivity

  • Introduction to Databases
  • Types of Databases (SQL and NoSQL)
  • Basics of SQL Databases
    • Types of Keys
    • Constraints
    • Schema Design
  • CRUD Operations
    • Create
    • Read
    • Update
    • Delete
  • Types of JOINS
    • Inner Join
    • Left Join
    • Right Join
    • Outer Join
  • Aggregate Functions
    • MIN
    • MAX
    • SUM
    • COUNT
    • AVG
  • Advanced SQL
    • Triggers
    • Stored Procedures
    • Control Statements Implementation
    • WITH Clause (CTE)
  • SQL Databases
    •  MySQL
    • PostgreSQL
    • SQLite
  • NoSQL Database
    • MongoDB
  • Python Database Connectivity
    • SQLite Connectivity
    • MySQL Connectivity
    • Libraries Used
      • SQLAlchemy
      • PyMySQL

Statistics & Mathematics

  • Descriptive Statistics
    • Measures of Central Tendency
      •  Mean
      • Median
      • Mode
    • Measures of Spread
      • Deviation
      • Standard Deviation
      • Variance
    • Frequency Distribution
    • Quartile Deviation
    • Data Distribution Visualization
      • Normal Distribution
      • Skewed Distribution
      • Kurtosis
  • Inferential Statistics
    • Hypothesis Testing
      • p-value
      • Confidence Intervals
      • Chi-Square Test
    • Probability Theory
      • Bayes’ Theorem
      • Probability Distributions
  • Linear Algebra for Machine Learning
    • Matrices and Vectors
      • Transpose
      • Inverse
      • Determinants
    • Eigenvalues and Eigenvectors
      • Application in PCA and Dimensionality Reduction

Data Science (Data Engineering, Analysis & Visualization)

  • Data Engineering & Preprocessing
    • Data Extraction
      • APIs
        • Understanding API concepts
        • HTTP protocols and API methods (GET, POST, PUT, DELETE)
        • Working with APIs such as Google API, Weather API, Stock Market APIs
      • Databases
      • Web Scraping
      • Cloud Data Sources
      • Online Resources
        • Kaggle
        • Google Dataset Search
    • Data Cleaning & Transformation (using Pandas and NumPy)
      • Handling Outliers
      • Data Skewness Treatment
      • Handling Missing, None, or Empty Values
      • Data Transformation Techniques
  • Exploratory Data Analysis (EDA)
    • Data Analysis using Pandas
      • Working with 1D and 2D Data
      • Aggregate Functions
      • Data Filtering Techniques
      • Indexing and Slicing in DataFrames
      • Merging and Joining Multiple Datasets
      • GroupBy Operations
      • Sorting Data by Index and Values
      • Applying Multiple Mathematical Operations
    • Feature Engineering
      • Converting Text Data to Numerical Format
        • One-Hot Encoding
        • Label Encoding
      • Data Scaling Techniques
  • Data Visualization
    • Data Visualization Libraries
      • Pandas
      • Matplotlib
      • Seaborn
      • Plotly
    • Building Live Graphs using Real-Time Data Animation
    • Creating Interactive Dashboards using Streamlit

Machine Learning

  • Introduction to Machine Learning
    • What is an Algorithm?
    • Core Machine Learning Concepts
    • Difference between Traditional Programming and Machine Learning
    • Types of Machine Learning Algorithms
    • Online Learning vs Offline Learning
    • Understanding Training and Testing Data
  • Supervised Learning
    • Regression Models
      • Simple Linear Regression
      • Multiple Linear Regression
      • Polynomial Regression
    • Classification Models
      • Decision Trees
      • Random Forest
      • Support Vector Machine (SVM)
      • Naïve Bayes
      • K-Nearest Neighbors (KNN)
      • Logistic Regression
    • Model Evaluation Metrics
      • Confusion Matrix
      • ROC–AUC Curve
      • Precision
      • Recall
      • F1 Score
      • Classification Report
      • Accuracy Score
      • R² Score
  • Unsupervised Learning
    • Clustering Algorithms
      • K-Means Clustering
      • Hierarchical Clustering
    • Dimensionality Reduction Techniques
      • Principal Component Analysis (PCA)
      • Linear Discriminant Analysis (LDA)
      • Autoencoders
  • Model Optimization & Deployment
    • Hyperparameter Tuning
      • Grid Search
      • K-Fold Cross Validation
    • Model Deployment
      • Flask
      • Pickle
      • Joblib
    • Gradient Descent Algorithm

Natural Language Processing (NLP)

  • Text Preprocessing & Feature Engineering
    • NLP Techniques using NLTK
      •  Tokenization
      • Stemming
      • Lemmatization
    • Word Embedding Concepts
      • One-Hot Encoding
      • TF-IDF (Term Frequency–Inverse Document Frequency)
      • Word2Vec
  • Building NLP Models
    • Sentiment Analysis
    • Document Classification
    • Named Entity Recognition (NER)

Deep Learning & Neural Networks

  • Neural Network Fundamentals
    • Stochastic Gradient Descent (SGD) Algorithm
    • Activation Functions
      •  ReLU
      • Sigmoid
      • Softmax
    • Backpropagation Algorithm
    • Neurons
    • Weights
    • Bias and Variance
    • Hidden Layers
  • Building & Training Neural Networks
    • Building and Training Models using TensorFlow and Keras
    • Loss Functions
    • Optimization Techniques
  • Convolutional Neural Networks (CNNs)
    • Creating CNN Models with Multiple Layers
    • Image Classification Models
    • Transfer Learning Concepts
      • ResNet
      • VGG
      • MobileNet
  • Recurrent Neural Networks (RNNs) & Transformers
    • Embedding Concepts
    • Building RNN Models with Multiple Layers
    • Transformer Architecture
      • Encoders
      • Decoders
    • BERT and GPT for NLP Applications

Generative AI (Including Retrieval-Augmented Generation – RAG)

  • Introduction to Generative AI
    • Importance of Generative AI
    • Architecture of Generative AI Systems
    • Encoder-Based Concepts
      • Generative Adversarial Networks (GANs)
      • Variational Autoencoders (VAEs)
    • Understanding Large Language Models (LLMs) and Their Working
    • Implementing Various LLMs using Open-Source APIs
  • Fine-Tuning Large Language Models
    • Adapting GPT and BERT for Custom Applications
    • Fine-Tuning Models using Hugging Face
  • Retrieval-Augmented Generation (RAG)
    • Enhancing LLMs with Real-Time Data Retrieval
    • Document Chunking and Text Splitting Techniques
    • Embedding Generation
    • Vector Databases and Vector Search
      • FAISS
      • Pinecone
      • ChromaDB
  • Building AI-Powered Assistants
    • Real-World AI Chatbots and Applications

Cloud Computing

  • Introduction to Cloud Computing
    • What is Cloud Computing and Its Benefits
    • Cloud Service Models
      • Infrastructure as a Service (IaaS)
      • Platform as a Service (PaaS)
      • Software as a Service (SaaS)
  • Popular Cloud Platforms
    • Overview of Major Cloud Platforms
      • Amazon Web Services (AWS)
      • Microsoft Azure
      • Google Cloud Platform (GCP)
    • ML and Data Services Offered by Each Platform
  • Storage and Compute Services
    • Object Storage Services
      • Amazon S3
      • Azure Blob Storage
    • Virtual Machines and Scalable Compute Engines
  • Cloud Databases
    • SQL Databases
    • NoSQL Databases
  • Machine Learning Services
    • Cloud ML Platforms
      • Azure ML Studio
      • AWS SageMaker
      • Google Vertex AI
    • Drag-and-Drop ML Workspaces to
      • Build Models
      • Train Models
      • Optimize Performance
      • Deploy Models
  • Model Integration & Monitoring
    • Integrating Python Scripts and Prebuilt Modules
    • Model Versioning and Experiment Tracking
    • Model Performance Monitoring and Analysis
    • Support for Real-Time and Batch Inference

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Get ahead in your career by learning top AI tools title

ChatGPT & Gemini to explore datasets, analyse data, generate code, and develop models
Debugcode.ai to solve any coding problem within seconds

Build Real-World Ethical Hacking & Cyber Security Projects

Essential Data Science Tools Covered in This Course

Ai
Ai
Data Visualization
Data Visualization

From Training to Placement A Roadmap to Success

Navigate your professional journey with a comprehensive guide that transforms learning into opportunity. Discover proven strategies to build skills, gain experience, and secure your ideal position in today's competitive job market.

Expert Training sessions123

Focus on industry-relevant skills

Hands on projects & Assignments

Real-world projects to implement learned concepts.

Performance Tracking

Weekly tests to assess progress

Mock Interviews

Mock sessions with real-time feedback from experts

Expert Sessions

Host industry experts for advanced technical guidance

Skill Refinement Tasks

Focus on problem-solving, critical thinking, and domain expertise

Effective Communication & Presentation Skills

Through interactive classes, students enhance both verbal and non-verbal communication, while also learning to present their ideas clearly, confidently, and effectively.

Aptitude & Logical Reasoning Training

Enhances students' problem-solving, analytical thinking, and numerical ability-preparing them for competitive exams and placement tests.

Step by step guidance

Help students structure professional, impactful resumes

Industry networking

* Partner with top companies for hiring pipelines
* Conduct webinars and sessions with recruiters

Placement coordination

* Connect candidates to aligned opportunities
* Organize hiring events and recruitment drives

Stress Management Techniques

Equip students to handle high-pressure interview situations

Scenario-Based Training

Prepare students for various interview formats, including case studies, coding rounds, and group discussions

Individual Sessions

* Address specific weaknesses and barriers to success.
* Develop personalized improvement plans

Our mission revolves around our learners

Promising 100% #CareerSuccess!

Download Placement Report
JECRC University

JECRC University

ICFAI University

ICFAI University

GIT college

GIT college

Techno

Techno

S S jain subodh college

S S jain subodh college

Jaipur National uni.

Jaipur National uni.

ARYA College

ARYA College

Sangam University

Sangam University

Career Point University

Career Point University

Empowering Learners Through Strong Alliances

At Grras Solutions, we collaborate with 45+ academic institutions and industry leaders to ensure our programs align with real-world demands. By integrating professional training, certifications, and hands-on experiences, we empower students to excel in today’s competitive job market.

45+

Partners

1000+ Students

Impacted Annually
Visuals of collaborations (trainings, hackathons, certifications)

600+ Hiring Partners Across Industries

Our extensive network of hiring partners spans various industries, offering diverse opportunities to kickstart your career.

Our Proven Track Record Shows that we Walk the Talk

Saleha Ansari

Saleha Ansari

Data Engineer
Jaipur
The overall training experience at Grras was excellent. I learned Python from basic to advanced levels, even without a technical background. The faculty explained every...
Divyansh Chaturvedi

Divyansh Chaturvedi

Senior Graphic Designer
Jaipur
I’m a Graphics & UI/UX Designer and also skilled in Video Editing, and I completed my design course from Grras Solutions. The experience was really...
Gajendra Singh

Gajendra Singh

Data Analyst
Jaipur
The technical training in Data Analytics provided by the institute was comprehensive and well-structured. The curriculum covered essential concepts such as data cleaning, analysis, and...
Aditi Naruka

Aditi Naruka

Cloud ops Engineer
Jaipur
Aditi Naruka has successfully completed the 4-month Devops and Cloud Computing program and secured a placement.
Raghav Bahad

Raghav Bahad

Data Analyst
Jaipur
Raghav Bahad has successfully completed the 4-month Data Analyst program and secured a placement.
Suhaib Illyas

Suhaib Illyas

Python developer
Jaipur
Suhaib Illyas has successfully completed the 3-month PYTHON program and secured a placement.
Gourav Khatri

Gourav Khatri

Data Analyst
Jaipur
Gourav Khatri has successfully completed the 4-month Data Analyst program and secured a placement.
Shamrez Khan

Shamrez Khan

MIS Executive
Jaipur
Shamrez Khan has successfully completed the 4-month Data Analyst program and secured a placement.
Arbaj Khan

Arbaj Khan

Graphic Designer
Jaipur
Arbaj khan has successfully completed the 4-month Ui Ux design program and secured a placement.

Benefits of Interning with Us

Emphasize the advantages of joining the internship.

Industry-relevant skills

Gain cutting-edge skills aligned with current market demands, making you industry-ready.

Practical experience

Build an impressive resume/portfolio with hands-on projects and professional-grade outputs.

Real-time problem-solving exposure

Tackle real-world challenges, enhancing critical thinking and technical expertise.

Career opportunities via Grras

Unlock placement opportunities through Grras' extensive professional network and connections.

Resume writing & tech events

Participate in industry-specific competitions and events to expand knowledge and showcase talent.

Mentorship from experts

Learn directly from seasoned professionals, receiving guidance and feedback to boost your career trajectory.

Grras vs Other Internships

Unlike typical internships, Grras Solutions offers a comprehensive learning experience, combining ISO-certified training, real-world projects, dedicated mentorship, and personalized placement support. Our programs are designed to build job-ready skills, boost confidence, and provide a clear path to career success, making us a preferred choice for aspiring professionals.

Video Courses Bootcamps Grras
Practical, Real-World Experience
Project-Based Learning
Live, Expert-Led Sessions
Professional Portfolio Development
Industry Partnerships / Externship
Career Coaching
Direct Job Referrals

Have doubts about Full Stack Placement Course? Reach out to our counsellors by filling this form.

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