Tannu - Databases tutor - Delhi
1st lesson free
Tannu - Databases tutor - Delhi

Tannu's profile and contact details have been verified by our team

Tannu

  • Rate R34
  • Response 6h
  • Students

    Number of students Tannu has accompanied since joining Superprof

    27

    Number of students Tannu has accompanied since joining Superprof

Tannu - Databases tutor - Delhi
  • 5 (6 reviews)

R34/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Databases
  • MySQL
  • Data Analysis
  • Microsoft Access
  • Sybase

Passionate and detail-oriented Data Analyst with experience in Data Analysis fundamentals Excel dashboards and reporting SQL queries and database management, Databases, Java Servlets, Tableau, PowerB

  • Databases
  • MySQL
  • Data Analysis
  • Microsoft Access
  • Sybase

Lesson location

Recommended

Tannu is a respected tutor in our community. She is highly recommended for her commitment and the quality of her lessons. A trusted partner on your learning journey.

About Tannu

Hi! I am a passionate Data Analysis tutor with expertise in Excel, SQL, Python, Power BI, and data visualization. I enjoy helping students and beginners understand data analysis concepts in a simple, practical, and interactive way.

My teaching style focuses on real-world examples, hands-on projects, and step-by-step learning so students can build strong analytical and problem-solving skills. Whether you are a beginner starting your journey or someone looking to improve technical skills for jobs and interviews, I can help you learn with confidence.
Artificial Intelligence, Machine Learning , IOT and Robotics .
Python Libraries like Numpy,Pandas,Matplotlib , seaborne etc.
Also Deep learning concept Artificial Neural Networks (ANN)
Perceptron and Multilayer Perceptron (MLP)
Neurons, Weights, and BiasTransfer Learning
Data Augmentation
Recurrent Neural Networks (RNN)
LSTM (Long Short-Term Memory)
GRU (Gated Recurrent Unit)
Sequence Models
Attention Mechanism
Transformer Architecture
Natural Language Processing (NLP) with Deep Learning
Large Language Models (LLMs)
Generative AI Basics
Autoencoders
Generative Adversarial Networks (GANs)TensorFlow/PyTorch
Model Deployment
MLOps Basics
Cloud Deployment (AWS, Azure, GCP)
Architecture of IoT (3-Layer & 5-Layer)
Sensors and Actuators
IoT Devices
Communication ProtocolsIoT Network Models
Cloud Computing in IoT
Edge Computing
Fog Computing
Data Collection and Data Analytics
IoT Security and Privacy
IoT Communication Technologies
Wi-Fi
Bluetooth
NFC
LoRaWAN
Cellular (4G/5G)Robot Architecture
Degrees of Freedom (DOF)
Robot Coordinate Systems
Forward Kinematics
Inverse Kinematics
Robot Dynamics
Path Planning and Motion Planning
Robot Programming

See more

About the lesson

  • All levels
  • English

Languages in which the lesson is available :

English

Data Analyst with strong knowledge of Excel, SQL, Python, and data visualization. Passionate about teaching data analysis concepts in a simple and practical way for students and beginners.
Data Analysis fundamentals
Excel dashboards and reporting
SQL queries and database management
Python for data analysis
Data visualization with Power BI/Tableau
Real-world projects and interview preparation
Robot Architecture
Degrees of Freedom (DOF)
Robot Coordinate Systems
Forward Kinematics
Inverse Kinematics
Robot Dynamics
Path Planning and Motion Planning
Robot ProgrammingIntroduction to Artificial Intelligence (AI)
Machine Learning Fundamentals
Introduction to Deep Learning
Artificial Neural Networks (ANN)
Perceptron and Multilayer Perceptron (MLP)
Neurons, Weights, and Bias
Activation Functions
Sigmoid
Tanh
ReLU
Leaky ReLU
Softmax
Forward Propagation
Loss (Cost) Functions
Backpropagation
Gradient Descent Optimization
Batch Gradient Descent
Stochastic Gradient Descent (SGD)
Mini-batch Gradient Descent
Optimizers
SGD
Momentum
RMSProp
Adam
Hyperparameters
Epochs, Batches, and Iterations
Weight Initialization
Regularization Techniques
L1 & L2 Regularization
Dropout
Early Stopping
Batch Normalization
Overfitting and Underfitting
Model Evaluation Metrics
Convolutional Neural Networks (CNN)
Convolution Layer
Pooling Layer
Flatten Layer
Image Classification
Transfer Learning
Data Augmentation
Recurrent Neural Networks (RNN)
LSTM (Long Short-Term Memory)
GRU (Gated Recurrent Unit)
Sequence Models
Attention Mechanism
Transformer Architecture
Natural Language Processing (NLP) with Deep Learning
Word Embeddings
Word2Vec
GloVe
Large Language Models (LLMs)
Generative AI Basics
Autoencoders
Generative Adversarial Networks (GANs)
Diffusion Models
Model Deployment
Deep Learning Frameworks
TensorFlow
Keras
PyTorch
GPU and CUDA Basics
Model Saving and Loading

See more

Rates

Rate

  • R34

Package rates

  • 5h: R169
  • 10h: R339

free lesson

The free first lesson with Tannu allows you to get to know the tutor and discuss your needs and expectations.

  • 1h

online

  • R34/h

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