Data Science

Instructor: KB Kumar Bhowmik

Language: English

Enrolled Learners: 19

Validity Period: 180 days

₹30000.00 45% OFF


About Data Science

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.

The data used for analysis can be from multiple sources and present in various formats.

Data science or data-driven science enables better decision making, predictive analysis, and pattern discovery. It lets you:

·         Find the leading cause of a problem by asking the right questions

·         Perform exploratory study on the data

·         Model the data using various algorithms 

·         Communicate and visualize the results via graphs, dashboards, etc.

In practice, data science is already helping the airline industry predict disruptions in travel to alleviate the pain for both airlines and passengers. With the help of data science, airlines can optimize operations in many ways, including:

·         Plan routes and decide whether to schedule direct or connecting flights

·         Build predictive analytics models to forecast flight delays

·         Offer personalized promotional offers based on customers booking patterns 

·         Decide which class of planes to purchase for better overall performance


Scope of  Data Science

The influence of data science is enormous in multiple sectors. Every below-mentioned industry has a high dependence on data science and offers great opportunities for a data scientist.


Data Science career in India has grown enormous. A recruiter has to go through any large number of resumes at any given time, especially more so in the recruiting season. One of the biggest challenges for the recruiter is to find the right recruit based on the resumes and that is like finding the right needle in the needle stack. But this difficult job of epic proportions is made very easy with the advent of data science.


This is an umbrella term for anything related to medicine and patients and diseases. Starting from more efficient diagnosis to medical research, data science has started playing a pivotal role in this sector.

Marketing and advertising

You can with all the data at your fingertips analyze and find out what your target audience should be to efficiently sell your service or your product.


The airline industry uses data science for flight path and route analysis. With a view to reducing operating costs and improving profitability and occupancy rates, airliners took to data science to predict and assess any expected delays to the flight timings, and drive customer loyalty programs.


Benefits of  Data Science
Smart Decisions

In this day and age, data-driven decisions are considered as smart decisions. And data science plays an important role in not just helping make decisions that are smarter, but also helps them do it faster. Every decision is reviewed again after some time and the results are evaluated. This way, data scientists give an approach to evaluate and improve the company's overall performance.

Target Identification

Target identification has never been easier. Every product and service needs to target the right demographics to make the maximum benefit or sales of their product or services.

As such, using analytics and available data sourced from a variety of channels, it becomes easy to identify and further refine the set of the target audience for the service or product. With this, companies can tailor their services for demographics and infographics and can increase their profitability.

Transforming risk analysis

Data available is humongous and analyzing this data along with predictive analysis allows us to be forewarned of certain risk scenarios. We can then propose a plan of action to mitigate the risk and suggest alternative workings to achieve our goals. All this is possible only with data science tools which help us analyze huge amounts of data faster and gain actionable intelligence from it.



Program has the following eligibility criteria:

1.      Graduation with minimum 50% marks

2.      All the management and business related students, any student who want to join.




Session 1:Business Analytics & Business Intelligence Theory

Session 2 Machine Learning & Artificial Intelligence Theory
Module 3 How to Work in the Cloud Practical Session

Session 4 Python Introduction Theory
Session 5: Numpy Theory

Session 6 Pandas Data Analysis

Session 7 Matplotlib Data Visualization

Session 8 Statistics of data science

Session 9: Machine Learning Techniques

Session 10 Sports Analytics Project
Session 11 HR Salary Analytics

Session 12 Survival Analytics
Session 13 Health Care Project
Session 14 How to Clean Data Practical Session
Session 15 Decision Tree and Random Forest Algorithm
Session 16 Plant Analytics Project Part 1
Session 17 Naïve Bayes and KNN Algorithm

Session 18 Support Vector Machine Algorithm
Session 19 How to Calculate Feature Importance Practical Session

Session 20 Ensemble Learning Techniques

Session 21 Data Mining Theory

Session 22 Web Scraping using Python
Session 23 Time Series Analysis Theory

Session 23 Natural Language Processing (NLP) & Text Mining Theory

Session 24 Sentiment Analysis using Text blob

Session 25 Natural Language Processing using NLTK
Session 26 Market Basket Analysis

Session 27 Recommendation System
Session 28 Bank Loan (Credit Risk)

Session 29 Cyber Security Anomaly Detection project
Session 30 ECommerce Sales