Not able to use quarantine time effectively ?
Join Online sessions from Best Data science institute
Image is not available
Image is not available
Recognised as Hyderabad's
Best Education Icon 2019-2020
Image is not available
Image is not available
Image is not available
Image is not available
Awarded by
Image is not available
previous arrow
previous arrow
next arrow
next arrow

Certified Online Data Science Training Institute with 100% Placement Assistance

About Data Science

Data Science stream ranks first among the top trending jobs on Linkedin. This gonna be the next revolution in Information Technology as it drives the world. The future is all about Data Science/Artificial Intelligence – Better decisions, better tools, and better life.

Businesses are embracing Data Science every day to add value to every aspect of their operations. Right from analyzing transaction records, storing data and visualizing them for various purposes. This has led to a substantial increase in the demand for Data Scientists who are skilled in technology, apply maths and analyze the business. There are a demand and supply gap which is creating many highly-paid opportunities for Data scientists.

Data Science is considered to be the Most booming career opportunities of the 21st century in every sector – Cancer detection, paralysis detection, fraud and risk detection in banks, behavior analysis, Industry Automation likewise every domain is going to be transformed with the help of data science. In a competitive edge, companies have to embrace it or else stay out of the game.

Choose your Course of Interest

Who can Learn this Online Data Science course?

This Data Science course is best for individuals who are looking to transform their careers. People who have the passion to use the data, analyze, visualize and use it for the betterment of the Business and the society.  For those mathematics enthusiasts, who can apply maths in real life and solve complex business challenges. This is specifically ideal for the people who are

  • Analysts and Software engineers looking for a career shift in the data science stream.
  • Freshers who want to start the career as we teach from the basics and gradually build up your skills.
  • Individuals who are graduated and working in the Data Science field and looking to upgrade their careers.

Advantages of Online Data Science course training?

By getting associated with Innomatics Research Labs, you will be learning it end to end. We don’t believe in short courses which do not leave you anywhere. Our online data science course helps an individual to build a great foundation in Data Science & Analytics by gaining knowledge on industry-standard tools and techniques through practical oriented approach and use cases derived from the businesses.  Here at Innomatics, individuals will gain the knowledge and deep understanding of the statistical techniques critical to Data Analysis and analytic models.

Transform your Career as A Data Scientist

Key Features of Online Data Science course

Flexible Timings

Flexible timings - Online data Science trainig in hyderabad - Innomatics Research labs kukatpally Hyderabad

Flexible timings for working professionals

24/7 support

24x7 support on Learning Management system - Online data Science trainig in hyderabad -Innomatics Research labs kukatpally

24/7 Support on the Learning Management System

Flexible payments

Flexible Payments with Easy Installments

Life-Time Access

Life time Free access to Workshops & Seminars

Online Data Science Course Curriculum

1. Basic Statistics for Data Science

  • Introduction to data science
  • Statistics for Data Science
  • Introduction to Data
  • Descriptive Statistics

2. Python


  • What is Python?
  • Why Data Science requires Python?
  • Installation of Anaconda
  • Understanding Jupyter Notebook
  • Basic commands in Jupyter Notebook
  • Understanding Python Syntax

2. Data Types and Data Structures

  • Variables
  • Strings
  • Lists
  • Sets
  • Tuples
  • Dictionaries

3. Control Flow and Conditional Statements

  • Conditional Operators, Arithmetic Operators and Logical Operators
  • If, Else if and Else Statements
  • While Loops
  • For Loops
  • Nested Loops

4. Functions

  • Lambda Functions
  • Map, Filter and Reduce
  • Modules and Packages

5. File Handling

  • Create, Read, Write files
  • Operations in File Handling
  • Errors and Exception Handling

3. Data Analysis and Visualizations


  • Arrays
  • Basic Operations in Numpy
  • Indexing
  • Array Processing


  • Series
  • Data Frames
  • Indexing and slicing
  • Groupby
  • Concatenating
  • Merging Joining
  • Missing Values
  • Operations
  • Data Input and Output
  • Pivot
  • Cross tab

Data Visualization

    • Introduction to Matplotlib
    • Line plots
    • Histograms
    • Box and Violin Plots
    • Scatterplot
    • Heatmaps
    • Subplots
    • Visualization with Seaborn

Project 1:

  • Data Mining

This project starts completely from scratch which involves collection of Raw Data from different sources and converting the unstructured data to a structured format to apply Machine Learning and NLP models. This project covers the main four steps of Data Science Life Cycle which involves.

  1. Data Collection
  2. Data Mining
  3. Data Preprocessing
  4. Data Visualization

Ex: Text, CSV, TSV, Excel Files, Matrices, Images

4. Advance Statistics

Probability Distributions

  • Discrete Probability Distributions
    • Bernouli Distribution
    • Binomial Distribution
    • Poisson Distribution
  • Continuous Probability Distributions
    • Normal Distribution
    • Standard Normal Distribution


  • Hypothesis Testing
  • Parametric Tests
    • t- Test
    • Z-Test
    • ANOVA
  • Non-Parametric Tests
    • Chi – Square Test

5. Machine Learning – Supervised Learning


  • What is Machine Learning?
  • Supervised Vs Unsupervised Learning
  • Regression Vs Classification Problems

Regression Techniques

Linear Regression:

  • Simple Linear Regression
  • Multiple Linear Regression
  • Estimating the Regression Coefficients
  • Polynomial Regression

Classification Techniques:

  • An Overview of Classification
  • Why Not Linear Regression?
  • Logistic Regression
  • Evaluation Metrics for Classification Models
  • A Case Study on Classification using Logistic Regression

6. Tree Based Models

Decision Trees (Rule Based Learning)

  • Basic Terminology in Decision Tree
  • Root Node and Terminal Node
  • Regression Trees
  • Classification Trees
  • Advantages and Disadvantages of Trees
  • Gini Index, Information Gain/Entropy and Reduction in Variance
  • Overfitting and Pruning
    • A case study on Decision Trees

 Resampling Methods:

  • Cross-Validation
  • The Validation Set Approach Leave-One-Out Cross-Validation
  • k-Fold Cross-Validation
  • Bias-Variance Trade-Off for k-Fold Cross-Validation

 Ensemble Methods in Tree Based Models:

  • What is Ensembled Learning?
  • What is Bagging and how does it work?
  • What is Random Forest and how does it work?
  • The Bootstrap
  • Variable selection using RandomForest
    • A case study on Random Forest

7. Distance Based Learning Methods

Support Vector Machines:

  • Hyperplane
  • The Maximal Margin Classifier
  • Support Vector Classifiers
  • Support Vector Machines
  • Hard and Soft Margin Classification
  • Classification with Non-linear Decision Boundaries
  • Kernel Trick
  • Linear, Polynomial and Radial
  • Tuning Hyper parameters for SVM
  • Gamma, Cost and Epsilon
  • SVMs with More than Two Classes

Case Study:

  • K Nearest Neighbors:
    • K-Nearest Neighbor Algorithm
    • Eager Vs Lazy learners
    • How does the KNN algorithm work?
    • How do you decide the number of neighbors in KNN?
    • Curse of Dimensionality
    • Pros and Cons of KNN
    • How to improve KNN performance?
  • Project 2:  A Project on Supervised Learning

8. Unsupervised Learning

The Challenges of Unsupervised Learning

  • Principal Components Analysis:
  • Introduction to Dimensionality Reduction and it’s necessity
  • What Are Principal Components?
  • Eigen Values, Eigen Vectors and Orthogonality
  • Transforming Eigen values into a new data set
  • Proportion of variance explained in PCA
  • A Case Study on PCA
  • Clustering Methods:
  • K-Means Clustering
  • Centroids and Medoids
  • Deciding optimal value of ‘K’ using Elbow Method
  • Linkage Methods
  • Hierarchical Clustering
  • Divisive and Agglomerative Clustering
  • Dendrograms and their interpretation
  • Applications of Clustering
  • A Case Study on Clustering
  • Project 3: A Project on Unsupervised Learning

9 Natural Language Processing (NLP)

Introduction to NLP

    • What is Natural Language Processing?
    • Structured vs Unstructured Data
    • NLTK
    • Importance and Advantages of Natural Language Processing
    • Text Mining
  • Text Preprocessing:
  • Regular Expressions for Pattern Matching
  • Text Normalization
  • Text Tokenization
    • Sentence Tokenization
    • Word Tokenization
  • Text Segmentation
    • Stemming
    • Lemmatization
  • POS Tagging
  • Natural Language Understanding:
  • Word Embedding’s
    • Bag of Words Model
    • TF-IDF Vectorizer
    • Count Vectorizer

Case Study on Spam Detection

Projects: Extracting unstructured text from files or Websites or any sources

Sentiment Analysis

10 Deep Learning

Introduction to Neural Networks

    • Introduction to Perceptron
    • Activation Functions
    • Cost Functions
    • Gradient Decent
    • Stochastic Gradient Descent
    • Back propagation
  • Tensorflow:
    • Tensorflow Basic Syntax
    • Tensorflow Graphs
    • Variables and Placeholder
    • Saving and Restoring Models
    • Tensorboard
  • Building Neural Network with Tensorflow:
    • Neural Network for Regression
    • Neural Network for Classification
    • Evaluating the ANN
    • Improving and tuning the ANN
  • Building a Convolutional Neural Networks with Keras:
    • Introduction to Computer Vision
      • OpenCV library in Python
    • Convolution Operation
    • ReLU Layer
    • Pooling
    • Flattening
    • Softmax and Cross Entropy
    • Building a CNN model with Keras
    • Training the CNN model
    • Saving the CNN model
  • Projects:

Image Processing Using Convolution Neural Network

Why choose Online Data Science at Innomatics Research Labs?

Use-case based Practical Oriented approach

We believe in a hands-on training approach and students can undertake the capstone projects and challenges derived from the real-time business. These projects can be one under the guidance of the industry experts and this provides a great opportunity for the students to learn and build the portfolio for accelerating the career.

Not just training but also Personalized Mentorship

Not just the recorded classroom sessions, we go beyond the online training. Our trainees can get access to the trainee round-the-clock and get assistance whenever needed. As an Alumni of Innomatics, you can attend the Industry connects, workshops, seminars, and meetups conducted by Innomatics Research labs. This helps you to connect with industry experts and also will help you to get insights into how data science is used in the industry.

Dedicate Placement Assistance

Having a dedicated placement verticle and collaborations. As an IBM Authorized training partner, we have access to hundreds of MNCs to which we send our trainees. Thousands of people have chosen us for their career transformation. Apart from CV preparation, mock-up interviews, we will also help you by providing numerous placement opportunities.

Globally recognized certifications from IBM

As an authorized training partner with IBM, we provide individuals with two mastery level certifications provided by IBM.

Not just Learning – Blended to perfection

With us there is everything. An individual can learn, explore and experience from the business cases derived. This would be a mix of self-paced, interactive and applied to learn.

Affordability at ease

We believe that learning should never stop and to make technology accessible for every individual, we provide the entire course (including Deep Learning & Natural Language Processing) at an affordable price.

Key Highlights of Online Data Science Program

120+ Industry experts from fortune 500 companies
Dedicated In-house data scientist team accessible round the clock
200+ Hours of intensive practical oriented training
Data science Internship on our projects & products
30+ POCs and use cases to work, learn and experiment
1000+ professionals trained in last one year
5+ products already developed and ready to be deployed
Bi-weekly Industry connects from industry experts from various sectors
Project and use-cases derived from businesses
Opportunity to participate in meet-ups, hackathons, and conferences
Dedicated training programs for NON-IT professionals
100% placement assistance
Backup Classes and Access to the Learning Management System (LMS)
Flexible Online training sessions
Free Technical Support

Why innomatics research labs for Software Training courses like Data Science, Machine Learning, Artificial Intelligence, Python, Statistics, NLP, Data Visualization with Tableau, Big Data with Hadoop, Digital Marketing & AWS training in Kukatpally, Hyderabad?

Job opportunities in Data Science

Data Scientists are needed for businesses in every Industry. Even fortune companies as Google, Amazon, Apple, Facebook, Microsoft need data science experts who have in-depth knowledge of data extraction, data mining, visualization, etc. Some of the leading data science careers are,

  • Business Intelligence Developer
  • Data Architect
  • Applications Architect
  • Industry Architect
  • Enterprise Architect
  • Data Scientist
  • Data Analyst
  • Data Engineer

FAQs on Online Data science Training

Will there be any support provided if I need assistance on the projects?
Innomatics trainers would round-the-clock and here to provide 100% assistance for all the queries that trainee raise. We are available through email or call and can also arrange a one-one session with the trainer if needed.

What is the other mode so draining available at Innomatics?
Innomatics also provide Classroom Data Science Training, Online Data Science Training and Corporate Training for the employees which can upskill the workforce.

Why choose an online data science course?
The best reason one could say to choose online data science course that is specially provided by innomatics is due to the flexibility of it. The online course for data science is so intuitive that you will enjoy it while doing it. Another thing is the convenience of learning at your home with the same quality that could be on-campus.

How are Innomatics verified certificates awarded?
Upon completion of the program, we will conduct the assessment, hackathons, assignments and based on the qualification in the assessment, trainees will be awarded the certification from IBM. This is a globally recognized certificate that will include over top MNCs from around the world.

Do you provide any placement assistance?
Innomatics help trainees to achieve their dreams by helping trainees finding potential recruiters, resume busking, mockup interviews and helping with the entire recruiting process.

What do i need to do if I want to switch from self-paced training to instructor-led training?
At Innomatics, the trainee can learn based on their comfort level. One can easily switch from self-paced to online instructor-led training without any extra effort.

How can I choose the best specialization?
Innomatics will provide the trainees with the options that best suit them based on their background. We would suggest the best based on the role and interests. We will suggest the below based on the roles.

Deep Learning: Engineers, Software and IT Professionals
Natural Language Processing: Engineers, Software and IT Professionals
Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers
Business Analytics: Engineers, Managers, Marketing and Sales Professionals, Domain Expert
Data Engineering: Software and IT Professionals

What are the benefits of Innomatics self-paced Training?
Innomatics offers self-paced training to those who wants to learn at their own pace, This provides includes lifetime access to LMS where the trainees can see the backup classes, one-one sessions and queries through email. There would be an arrangement of virtual live class sessions for the trainees as well.

Data Science Trainee’s Reviews

(Our Students saying about Data Science training)

Vinay keerthi

Innomatics Reviews on Data science course training at Kukatpally Ameerpet, Hyderabad, India

Innomatics Research Lab is one of the best data science training institute in Hyderabad. I joined here as soon as I completed my bachelor’s to attain a great job. This team suggested me to go with a data science course, for the first two days I heard the demo and just got impressed by their teaching and with no second thought choose this course. I’m almost about to complete my course and no doubt they are Turing me into very well qualified data scientist.

Data Science trainee

PV Meenakshi

PV Meenakshi Review on Data science traiining at Innomatics Research Labs Kukataplly, Hyderabad, Ameerpet & Madhapur Branch Hyderabad

One of the best learning institute in Hyderabad I say! In every aspect Innomatics research labs Institute has proved to be the best for me. The topics and projects covered in Machine Learning were real time and it helped me understand the basics along with high level stuff, equally well. Thank you Innomatics for turning me into a Young data scientist!

Data Scientist

Sai Chaitanya

Innomatics Reaserch Labs Review by Sai Chaitanya Data Scientist Intern - Best Data Science training institute in Hyderabad

I joined Innomatics as a student and an Intern in the end of December 2018. It has been a knowledgeable experience till date. I got to work on some interesting projects and case studies as an Data Science Intern. The mentors at the institute are talented, experienced, yet friendly. They are always ready to help. It has been a great experience and I am sure I will benefit a lot from it in my career.

Data Scientist

Loka Sai Eswar

Innomatics Reaserch Labs Reviews on Data science, Data Science trainee review on Innomatics kukatpally

I came to Innomatics when i was indecisive about what to do with career. I just resigned my job as it was kind of monotonous and it didn’t interest me anymore. Just then I got a mail from Innomatics saying they offer classes on Data Science. I don’t mean to sound dramatic, but that was one of the best decisions I made. I found the career that suits me after I came here. The teaching method here is very practical and the faculty too are very helpful. I would recommend to everyone who want to change their career or who want to join Data Science to consider Innomatics research Labs. I am sure you won’t regret!

Data Science trainee

Vaishnavi Mandhani

Innomatics Reaserch Labs Review by Vaishnavi Mandhani on Data science

Innomatics Research labs are the only platform to learn Data Science with real-time working experience, they just don’t teach, let you work and gain experience. There are so many institutions charging Lakhs of rupees but not teaching complete data science. But at Innomatics, I learnt the real data science and practical application of it. After joining here only I got to know what real Data science is. 3 months back I don’t know Data science. Today I can claim that I am an expert of it. As part of my internship, I worked on Docnizer project. It gave me an enormous amount of knowledge in Data Science. Thank you Innomatics – Kukatpally Branch

Data Scientist

Join us!! We'll transform your career. Call us on..