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Data Science Program

This is a comprehensive online instructor led course that prepares you for various skillsets required in a Data Scientist profile that include Statistics, Tools and Business Skills. It covers 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


Weekday – 1.5 hours
Weekends – 6 hours



Online Live Sessions

Instructed led 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


Placement 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 – 8+ 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 possess 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 500+ 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 500+ 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.


      Machine Learning Specialization

      Duration: 40 Hours

      AI Specialization

      Duration: 200 hours

      Deep Learning

      Duration: 60 hours