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Data Science Specialization Program

Data Science Specialisation Program is a comprehensive online instructor-led course that prepares you for various skill sets required in a Data Scientist profile that includes Statistics, Tools, and Business Skills. It covers the entire data science pipeline from Data gathering, Data Manipulation, Exploratory Data Analysis, Model Planning, Model Building, Machine Learning algorithms, and Data Visualization using tools like Statistics, Python, ML, and Tableau.


  • Exploratory Data Analysis and Statistics
  • In-depth understanding of Python
  • Data Visualization with Tableau
  • Data Modelling and Model Evaluation using various Machine Learning Algorithms
  • Projects


125 Hours


Weekends – 6 hours
9.30 PM IST to 12.00 PM IST



Online Live

Instructor-led online live in-depth sessions


Get a course completion certificate


2 way communication via text & speech


Free Trial Class

Get a Demo class before Registeration for assured learning

Industry Projects

Multiple domains specific projects & discussions


Small Batch Size

15-20 students per batch for 1-to-1 interactions

Cloud Based Lab

Cloud-based online lab for hands-on training


Job Assistance

Assistance in resume building & placement


Statistics Fundamentals

In this module, participants will be introduced to Descriptive and Inferential statistics concepts and implementation using real-world data will also be covered. It will end with a case study implementation of EDA.

  • Descriptive Statistics
  • Inferential Statistics

Python Programming

Python is a critical tool for Data Science. In this module participants learn Python programming from basic to advanced level using Jupyter notebooks. Here, participants create, subset and manipulate various data structures. Specific libraries like NumPy, Pandas and Matplotlib that are popular for Data Analysis are covered in depth.

    -Numpy Library
    -Pandas Library
    -Matplotlib and Seaborn Library

Machine Learning using SciKit Learn (Python)

Machine Learning algorithms are the backbone of Predictive Modelling. This is where the Crux of Data Science lies. The end objective of solving a data science problem is finding the patterns in the data and represent that in the form of a Data model. The algorithms taught in our course cover almost all of the problems data scientists solve on a regular basis.

  • The Machine Learning Landscape
  • Supervised Machine Learning
  • UnSupervised Machine Learning

Data Visualization using Tableau

Tableau is one of the most popular Data Visualization tools used by Data Science and Business Intelligence professionals. In fact, it has been the market leader in reporting tools for almost 10 years (Source: Gartner magic quadrant). Once the predictive analysis of data is done, data scientists generally use Tableau to send out the reports to business which can then take decisions accordingly.


  • Intro To Data Visualization and Tableau
  • Data Connections – Joins and Vizql
  • Building Basic Charts, Chart Types And Mapping
  • Aggregation, Parameter
  • Statistical Analysis Using Tableau – Regression and Box Plots
  • Table Calculation, Calculated Fields
  • Dashboarding
  • Integration Of Python with Tableau

R Programming [Recorded]


  • Fundamentals of R Programming – Working with RStudio
  • Data structures & data types in R
  • Functions 
  • Control Structures             
  • Data handling in R – Importing and Exporting Data
  • Cleaning and Manipulating Data

SQL [Recorded]

Structured query language (SQL) is the language of databases. Whether you run reports or provide a dynamic website, you need to know SQL to add, delete, edit and view records. Databases organize and collect your data, and the SQL language is the liaison between you and the data. This module provides a step-by-step overview and instructions that help you get started with the SQL language.

  • Introduction to SQL
  • Relational Databases
  • Entity Relationship Diagrams and Relational Schemas
  • Retrieve and sort Specific Data
  • Aggregate Functions
  • Joins
  • Sub-queries


Work on the Capstone Project. Choose from a set of projects and work on at least a couple of projects under the guidance of the mentors to create a portfolio for business.


  • Personalized attention
  • LIVE instructor-led training throughout the training duration
  • Entirely Hands-On – Case Study based
  • Practical Inputs from real-time scenarios
  • Lifetime Access to Session Recordings


Kushagra, (IIT Delhi – 10+ years experience in Analytics & data science), has a keen interest in Problem Solving, Deriving insights & Improving the efficiency of processes with new-age technologies.

He’s good with statistical concepts and possesses thorough business understanding along with practical experience in linear models (like Linear Regression, Logistic Regression, Ridge Regression, Lasso Regression),

Tree-based algorithms (like Decision trees, Bagging, Random Forest, GBM, XGBoost), clustering (like K-Means, Hierarchical),Time-series analysis (like ARMA, ARIMA, stationarity), Deep learning(CN, RNN), NLP Techniques(TFIDF, LDA, Topic Modelling) Extensive knowledge of Tools like R, Python, Spark, Tensorflow, Keras, Tableau. Trained 5000+ participants in R, Machine Learning, Tableau and Python, Big Data Analytics at Dimensionless Conducted workshops and training on Data Analytics for Corporate and Colleges

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HIMANSHU (IIT, Bombay – 10+ years experience in Data Science) A machine-learning practitioner, fascinated by the numerous application of Artificial Intelligence in the day to day life.

I enjoy applying my quantitative skills to new large-scale, data-intensive problems.I am an avid learner keen to be the frontrunner in the field of AI. I enjoy learning new technologies at work and strive hard to acquire finesse in skills that I have honed over my career.

Trained 5000+ participants in R, Machine Learning, Tableau and Python, Big Data Analytics and Deep Learning at Dimensionless

Conducted workshops and training on Data Analytics for Corporate and Colleges

He possesses knowledge of a wide variety of machine learning and deep learning algorithms.

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Pranali is a professional Data Science Trainer with more than 15 years of experience in the teaching various training programs on Databases, Programing and Machine Learning.
Her core competency include Databases, Data Science and Big Data. She holds a Masters degree in Computer Engineering from University of Pune.


Why Should I Learn Data Science from Dimensionless?

  • Dimensionless Tech provides Best Online Data Science training that provides in-depth course coverage, case study based learning, entirely Hands-on driven sessions with Personalised attention to every participant. We guarantee Learning.

What Are The Various Modes Of Training That you Offer?

  • We provide only instructor-led LIVE online training sessions. We do not provide classroom trainings.

How is your online training better than classroom training?

  • In physical classrooms, students generally feel hesitant to ask questions. Unlike other online courses,  we allow you to speak in the session and ask your doubts. The interactivity level is similar to classroom training and you get it at the comfort of your home. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long-distance commuting and disrupting your schedule.

Can I ask my doubts during the session?

  • All participants are encouraged to speak up and ask their doubts. We answer all the doubts with same sincerity.

Is there a hardware requirement for this course?

  • Any laptop with 2GB RAM and Windows 7 and above is perfectly fine for this course. For large data, the access will be given on the online lab.

What if I miss a session, due to some unavoidable situation?

  • We understand that while balancing your personal and professional commitments you might miss a session. Hence, all our sessions are recorded and the recordings are shared with you through our Learning Management Portal.

How long will I have access to the Learning Management Portal?

  • You will have lifetime access to the portal and you can view the Videos, Notes, Books, Assignments as many time

What Kind Of Projects Will I Be Working On As Part Of The Training?

  • During the training, you will be solving multiple case studies from different domains. Once the LIVE training is done, you will start implementing your learnings on Real-Time Datasets.  You can work on data from various domains like Retail, Manufacturing, Supply Chain, Operations, Telecom, Oil and Gas, and many more. You would be working on multiple projects so that you can gain enough content and confidence to enter into the field of Data Science.

Do You Provide Placement Assistance?

  • Yes, we provide you with real-time industry requirements on a daily basis through our connect in the industry. These requirements generally come through referral channels, hence the probability to get through increases manifold. The HR from the team, helps you with Resume Building and Interview Preparation as well.

Do I get a Course Completion Certificate?

  • Yes, we will be issuing a course completion certification to all individuals who successfully complete the training.


The COVID-19 pandemic has been spread globally, and the number of cases is rising every day.

In this project, you have been given world-wide dataset of coronavirus and you have to perform EDA, data analysis and data visualization techniques.

In this project you have to analyze the Uber dataset and try to find the hidden relationships among time, date, categories, miles, purpose of the drive, start and end location.
After generating insights, use the data to predict the “travel miles”.

The goal is to analyse the Zomato Bengaluru dataset to get an understanding of the factors that affect the restaurants in Bengaluru.

Then you have to predict the “Zomato rate” of the restaurants and perform a sentiment analysis on customer reviews.

Sentiment analysis measures the attitude and belief of the customer towards the service or product.

Your task is to make a sentiment analysis model that takes the review of a customer and returns whether the review is positive or negative.

Accurate forecasting of increasing coronavirus is important. It will help the medical institutions and government to plan their strategies accordingly.

Your task is to forecast the cumulative number of confirmed COVID-19 cases across the world.

The task here is to incorporate all the various components of football players and display them in a single environment using clustering, so that users can select their players of interest by one click instead of selecting the features manually.

Airline companies use techniques to systematically allocate airfare prices. The task given here is to accurately predict the price.

This will help the passengers to decide a specific airline as per their budget and save their time and money.

When we order food, questions such as ‘Where is my food?’ or ‘When will my food arrive?’ often emerges in our minds.

In this project, you will be given data of thousands of restaurants in India and your task is to predict the food delivery time.

Food quality needs to be assessed from time to time. Your task is to make a ML model that predicts whether a specific facility will pass or fail the food quality assessment, by using the dataset which was collected by the food inspection department.

Recommendation system broadly recommends products to customers best suited to their tastes and traits.

Your task in the project is to predict and recommend a few hotels to a user that he/she is more likely to book out of thousands of hotels available.

Sales Forecasting tells the future sales based on the current and past sales data.

You are given historical sales data of 45 Walmart stores located in different regions and your task is to predict the weekly sales for each department of every store.


Start-up Success Rate and Investment Analysis

Data analysis can be carried out to identify factors that contribute towards the success of a start-up.

Insurance Premium Analysis

The Health Insurance company’s data need to be analyzed to identify factors that lead to less medical charges.

Consumer Goods Sales Forecast

Sales analytics is the process used to identify model, understand and predict sales trends and results.

Automobile Price Analysis

Automobile data involved analyzing factors that affect the price of automobile by using various information.

App Market Analysis

Insights can be drawn for developers to work on and capture the Android market by Play store app data.

Analysing Flight Operations

Various data manipulation operations can be performed to get insights about the flights schedule, status, etc.

California Housing Price

Aim of the project is to predict the housing prices for a district from the 1990 California Census dataset.

Health Care Quality Assessment

Dataset consists of the claims data for the insured patients to predict the quality of healthcare received.

Baseball Players

The task is to predict the salary of baseball players playing in major leagues from the StatLib Dataset.

Heart Disease

The aim is to identify trends in heart data to predict cardiovascular events that can lead to heart disease.

Movies Recommendation

The aim is to build a movie recommendation system based on genres. The data used is gathered from MovieLens.

Automobile Sales classification

The project is to predicts monthly sales of the Hyundai Elantra in the United States from the given dataset.

Framingham Heart Study

The data of Framingham Heart Study is a cardiovascular cohort study used to predict and prevent heart disease.

Mall Customer Segmentation

The Mall Customers data set have information of customer that can be used to carry out customer segmentation.

Credit Risk Modelling

The task is to identify if a person will be able to pay/default the loan amount from the loan dataset.

Movie Recommendation

Analysis is to be done to answer different questions about the recommendation of the movies from MovieLens data.

Real Estate Price Prediction

Predict the price of homes from a housing dataset with explanatory variables describing homes in Ames.


Farheen Siddiqui

Business Analyst, Chennai Branch, Fortune India 500 Company

I joined this training curriculum to have a transition in my career. What they say is exactly what they do. Highly knowledgeable and supporting faculties. The HR support informs us about the job openings from time to time. Apart from teaching they conduct webinars from experienced data scientists.

Avinash Vasista

Senior Consultant, Hirepro Consulting Pvt. Ltd.

Dimensionless – Knowledge Encyclopedia

Dimensionless has helped me to lay a strong and deep pillar for my Data Science Career, their teaching methodology on their online platform is very effective, interactive & flexible. It is a privilege to learn the concepts from industry experts. Kudos to all teaching and non-teaching staff for the great ongoing learning experience across Python, ML, R & Tableau.

Eshan Kaul

Associate VP, Corporate & Investment Banking, JP Morgan Chase

It’s an almost impossible task to take everyone along when the class mix is so diverse. But the trainers would spend the first 5-10 minutes of each session on clearing ANY doubts or any questions, anyone would have. The trainers were also judicious to push some questions towards the end of the session when more time would be needed to address a certain query.

Ruchika Patro

Sr. Software Engineer, United Health Group

I joined a data science course in October ’18. Here the instructors teach so patiently and start all topics from the basics. The topics covered are purely fit for the industry. I got a good understanding of all topics after going through this course and I am now well fit for attending any interviews.

Thanks, Dimensionless for this course with this price.


Machine Learning Specialization

Duration: 60 Hours

Deep Learning

Duration: 60 hours