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Data Analytics Program

Data Analytics is an exciting area that has gained a lot of attention in recent past due to the availability of large amounts of data. According to a McKinsey report published in 2019, there is a massive shortfall of over 150,000 data analytics professionals in India.

This program will prepare graduates with the knowledge and skill set necessary to become analytics professionals. The program will explore the intricacies of data analytics and expose students to various topics related to data collection, manipulation, processing, analysis, and
visualization. Students build industry level projects and perform analysis on real world industry data.

Individuals from Non-Tech background with no prior knowledge of programming are eligible to take up this course.


  • Learn the art of Critical Thinking and Problem Solving
  • Learn Statistical concepts to be able to perform in-depth analysis
  • Learn about database concept and ways to fetch the data from the same
  • Learn Programming skills from scratch and ways to import, clean, transform and analyse data.
  • Learn to Perform Data Wrangling, Data Exploration and Hypothesis
  • Learn to create beautiful reports and dashboards to communicate results with business


  • Career Guidance
  • Mentorship
  • Placement Assistance
  • Course Completion Certificate
  • Industry Projects
  • Lifetime access to Learning Management System


Applicants should have successfully completed a Bachelor’s Degree to be eligible for this program.
Individuals from Non-Tech background with no prior knowledge of programming are eligible to take up this course.


●  80 hours instructor-led LIVE Online classes
●  1:1 mentor support
●  Dedicated doubt clearing and Project sessions
●  Unlimited resume and portfolio reviews
●  Mock interviews
●  Access to our employer network
●  Highly experienced and qualified trainers [Analytics experts, 10+ years industry experience]
●  Case based learning – Practical Learning approach
●  24*7 support on WhatsApp



80 hours


Weekday – 1.5 hours
Weekends – 6 hours


Problem Analysis with Statistics

Statistics forms the foundation of Data Analysis. The tools and techniques of statistics help to structure the data and find patterns in huge quantities of data. Therefore, we begin with Statistics from scratch, building a strong foundation for successful Data Analysts.

  • Descriptive Statistics
  • Inferential Statistics
  • Simple and Multivariate Regression
  • Case Studies

Exploring Data with Python

Python is extensively used with Statistics for data cleaning, analysis, and graphical
representations. According to 2017 Burtch Works Survey, out of all surveyed data
analysts, 26% preferred Python Programming. In this module, you will be introduced
to Python programming for Data Analysis.

  • Essentials of Python Programming
  • Data Exploration in Python
  • Case Studies

Organizing the Data

Whether you run reports or extract data points, 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. In this module, you will learn to use and implement SQL.

  • Introduction to SQL
  • Relational Databases
  • Entity Relationship Diagrams and Relational Schema
  • Queries to retrieve, extract, edit, append and sort data that meet specific criteria
  • Summarize data using Aggregate functions
  • Joins
  • Sub-Queries
  • Analysing Data from Databases

Communicating with Data

Data Visualization is the art of simplifying data into graphical representation. Tableau is one of the most popular Data Visualization tools used by Data Analysts and Business Intelligence professionals. In fact, it has been a market leader in reporting tools for almost 10 years (Source: Gartner magic quadrant). Once the predictive analysis of data is done, data analysts generally use Tableau to visualize the data and take decisions accordingly.

  • Intro to Data Visualization
  • Tableau Basics
  • Connecting with Data – Joins and VizQL
  • Building basic charts, Chart Types and Mapping
  • Aggregation and Parameter
  • Statistical Analysis with Tableau – Regression and Trend analysis
  • Calculated Fields and Table Calculations
  • Creating Dashboards

Case Studies

  • Start-up Success Rate and Investment Analysis
  • Insurance Premium Analysis
  • Consumer Goods Sales Forecast
  • Automobile Price Analysis
  • App Market Analysis
  • Analysing Flight Operations
  • Movie Recommendation
  • Real Estate Price Prediction

Capstone Projects

  • COVID-19 Global Analysis
  • Uber Analysis
  • Zomato Bengaluru Restaurants 


  • Personalized attention
  • LIVE instructor-led training throughout the training duration
  • Entirely Hands-On, Case Study based teaching
  • 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 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 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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Why Should I Learn Data Analytics from Dimensionless?

  • Dimensionless Tech provides the best online training for Advanced tech and Data-related courses training that provides in-depth course coverage, case study based learning, entirely Hands-on driven sessions with personalized attention to every participant. We guarantee Learning.

What is the Mode Of Training 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.


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.

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.