Data Science & Machine Learning Certification Training Program
For Students/Beginners
- 6 Months of Intensive Training
- Learn from Microsoft Certified Professionals
- Build 10 Real-World Live Projects
- Mock Interviews & Interview Prep
- Resume & Portfolio Building
- Job Assistance
Attend a Free Live Demo — Discover Your Dream Tech Career
Why Learn Data Science and ML
Data Science & ML is the most popular & widely used technologies. Looks at these stats.
Course Curriculum
We present a learn-by-doing method that helps you to get the practical coding experience that is required to transform knowledge into real-world results.
Python
- Python Basic
- Variables and Data Types
- Conditional Loop
- For Loop
- While Loop
- List Tuple Set
- Dictnoary
- Functions
- Numpy
- Pandas
Advance Statistics
- Basic
- Types of Statistics
- Types of Data
- Levels of Measurment
- Central Tendency
- Dispersion
- Random Variables
- Covariance
- Correlation
- Probability Density
- Probability Distribution
- PDF PMF CDF
- Bernouli Distribution
- Poission Distribution
- Normal or Gaussian Distribution
- Uniform Distribution
- Esitmate
- Hypothesis Testing
- P Value
- Chi Square Test
- F Distribution and F Test
Deep Learning
- Introduction of ANN
- Neuron
- Activation Function
- Neural Netwok Works
- Neural Network Learning
- Gradient Descent
- Back Propagation
- Forward Propagation
- Building ANN
- Introduction of CNN
- CNN Architecture
- ReLU Layer
- Pooling
- Flattening
- Building CNN
- RNN Introduction
- LSTM
- Building RNN
- Deep Boltzman deep
- Introduction Auto Encoders
- Training Auto Encoders
- Sparse Auto Encoders
- Denoising Auto Encoders
- Contractive Auto Encoders
- Stacked Auto Encoders
- Deep Auto Encoders
- Pytorch
- Building Auto Encoders
- Introduction GAN
- GAN Code
- Deep Reinforcement Learning
- Markov Decision Process (MDP)
- Q-Learning
- Deep Q-Learning
- Transfer Learning for Computer Vision
- Introduction NLP
- Name Entity Recognition
- Text Classification
- Sentimental Analysis
- Semantic Analysis
- Topic Modeling
- Perceptron Model
- Text Generation with LSTM
- Transformers
- Attention Layer
- Long Text Classification with BERT
- Chatbots
Computaional Libraries
- Introduction
- Tensorflow Syntax
- Tensorflow Graph
- Variables and Placeholders
- Tensorflow Neural Network
- Tensorflow Regression
- Tensorflow Classification
- Tensorflow Serving
- Tensorflow Lite (TFLite)
Cognitive Services
- AWS
- Azure
- Azure Google CCAI
Maching Learning
- Introduction
- Feature Engineering
- Data Prepration
- Naive Bayes
- Performance
- K Nearest Neighbors
- Boosting
- Naive Bayes Optimizations
- PCA
- Decision Trees
- Random Forest
- Linear Regression
- Multiple Regression
- Polynomial Regression
- Logistic Regression
- Support Vector Machine
- Clustering
- K-means
- Hierarchical Clustering
- Apriori
- Eclat
- Singular Value Decomposition
- Upper Confidence Bound
- Thompson Sampling
- Collaborative and Content Based Filtering
- Introduction
- Data Ingestion
- Data Storage
- Data Processing
- Processing Orchestration
- Exploration-Workspaces
- Experimentation
- Frequentist AB Testing
- Bayesian AB Testing
- Multi-Armed Bandit
- Impact Estimation
- Large-Scale Basic Models
- Large Scale Deep Learning Models
- Large Scale Model Validation
- Productionization
- Data Hosting
- Model Hosting
DataScience & ML Career Scope
Data Scientists and Data Analysts are employed by the world's leading companies. Discover the salary and skills of a Data Scientist and Data Analyst.
Tools and Technologies
What can you accomplish at the end of training?
Complete data science specialization, clear mock tests and get referred to companies
Get a Job As a Data Scientist or Data Engineer- Increment in Your Current Salary
- Switch to top MNCs or Service Based Companies
- Switch Job as a Software Developer
- Build Real World Web Applications
- Lead a team of Developers
Pricing and Payment Plans
One-Time Total Investment
EMI Options
Program Highlights
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Unlimited Live Batch AccessLearn Without Limits for 12 Months
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Project-Based TrainingBuild real-world applications
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50+ Hands-On LabsPractice with real scenarios
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150+ Interview Q&AAce your technical interviews
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Dedicated SupportTechnical support to guide you anytime
100% Money Back Guarantee
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600+ Quick notes
900+ Hands-on labs
50+ Real-world projects
45+ Interview books