Data Science & Machine Learning Certification Training Program

A Proven Curriculum to get a Data Science Job of ₹4.5 - ₹20 LPA*

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
Book a Demo class NOW!
Why Learn Data Science and ML

Data Science & ML is the most popular & widely used technologies. Looks at these stats.

Learn to Build Real-world Projects
Hands on, work experience based learning is what makes Scholarhat different from others. Build real world projects by applying your coding skills live with your mentors in just 15 weeks. You’ll learn how to start a project from scratch by following recommended architecture, practices and deploy to server.
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 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
  • 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

50% OFF

Program Admission

  • Blended Live Training Program
  • Dedicated Placement Support
  • EMI Support Available
  • Limited Seats Available
  • Help and Support Using Discord
  • Dedicated doubt Solving Sessions
  • 1 Yr. Access to LMS
  • Career Coaching Sessions
*EMI support available. Know More

Student Reviews

Our Students are working at companies such as:


Q1. Do you prepare me for the job interview?

Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.

Q2. Do you provide training on latest technology version?

Yes we do. As the technology upgrades we do update our content and provide your training on latest version of that technology.

Q3. Do you provide any course material or live session videos?

Yes we do. You will get access to the entire content including class videos, mockups, and assignments through LMS.

Q4. Can I share my course with someone else?

In short, no. Check our licensing that you agree to by using Dot Net Tricks LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.

Q5. What If I miss my online training class?

All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

Q6. Who are your mentors?

All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by Dot Net Tricks to deliver interactive training to the participants.

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