Data Scientist

Understand how data science is used in the real world and create analytical models that improve business outcomes. For new graduates and working professionals who wish to begin an effective data science and analytics career, this job-guarantee programme is perfect. You will prepare to work as a data scientist professional in a developing field of data science and analytics and obtain practical understanding about the applications of data science and analytics in real-world enterprises.

Classes: Evening Online Live Classes ( 5 days a week - Monday to Sunday)
Course Duration: 30 weeks, i.e., 300+ hours

Placement Guaranteed Program

₹79,999 ₹160,000 50% Off

starts from 4,444/month

Pay After Placement

₹20,000 (upfront fees)

+ 30% of CTC (max ₹200,000) after placement

For Freshers Only

Classes in Hindi + English language

Live Lectures with instant doubt resolutions

Interview Preparation from first day

Soft Skills Preparation

Resume Building & Career Guidance by Experts

Highlights of the Course

Python
DSA in Python
Data Science Maths
SQL
EXCEL
PowerBI/Tableau
DataSources
Cloud Basics
Machine Learning
Specialization in Data Science / Computer Vision / NLP
Interview Preparation
Industry Project

Course Curriculum

Explore your Learning Journey

EXCEL

Basic formulas like sum, count, sum if, count and others
Data cleaning like changing the format, using filters and others
Conditional formatting like removing duplicates and others
Data Visualisation
Pivot Tables
Advanced formulas like Vlook up, Hlookups, Slicers, Micros, Nested if, Power query and others
Data analysis / Statistical tools like Regression, correlation, etc

SQL

Database Installation & Overview
Fundamentals of SQL
RDBMS vs DMBS
Creating Database
SQL Commands - DDL, DML,DCL,TCL,DQL
SQL Operators
SQL Constraints
SQL keys
SQL Joins
SQL Functions like Aggregation functions.
SQL Subqueries
Advanced SQL queries
Capstone Project

PYTHON

Basic Arithmetic Operations
if-else statements
input-output operations
Data types- String, int, char etc
Typecasting
Loops- for/while
Lists, Set, tuples etc
Inbuilt function, lambda function, iterator, generator
Exceptional handling
Import & Introduction of Python libraries like matplot, numpy for creating graphs etc.
And other Advanced topics like OOPs concepts.

POWER BI

Power BI basics
DAX
Data Connection
Sorting & Filtering Data
Data Visualization, reports & charts
Data Analytics
Geo Maps
Dashboards
Managing Worksheets

DATA SCIENCE MATHS

Chi squared test
Hypothesis testing
Normal Distribution
Data Wrangling
KNN imputation method
Clustering
Outliers
Statistical model
Regression
Central tendency – Mean, Median & Mode
Standard Deviation
Variance & Covariance
Sample size
Descriptive & inferential Statistics
T-test
Z-test
F-test

MACHINE LEARNING

Basics of Machine Learning
Artificial Intelligence (AI)
Types and Algorithms of Machine Learning
Supervised Learning
Semi-Supervised Learning
Unsupervised Learning
Reinforcement Learning
Neural Network or Artificial Neural Network (ANN) Introduction
Machine Learning Use Cases

DATA STRUCTURE AND ALGORITHMS

Basics Of Programming
Loops & Functions
Recursion & Time Complexity
Arrays
Strings
Linked Lists & Doubly Linked List
Stacks
Queues
HashMap
Tries
Tree - Introduction, Binary, BST.
Graphs - Introduction
Sorting Algorithms - Merge, Quick, Insertion, Selection, Bubble, Counting Sort.
Searching Algorithms - Linear Search & Binary Search.
Divide & Conquer Algorithm.
Introduction & Application of Dynamic Programming

APTITUDE

Number series
Coding Decoding
Directions
Blood Relations
Linear Arrangement
Ranking Arrangement
Ratio and Proportion
Time and Work
SI and CI
Profit and loss
Averages
Upstream and Downstream

PROJECTS

Image Caption Generator
Text Extraction
Card Fraud Detection
Face Recognition

WHAT IS DATA SCIENCE?

Data science involves developing methods of recording, storing, and analyzing data to effectively extract useful information. The goal of data science is to gain insights and knowledge from any type of data both structured and unstructured. To be more precise, it is the study of data stored by the business via a statistical programming language.

WHO IS DATA SCIENTIST?

Data Science is all about mining hidden insights of data of trends, behavior, interpretation, and inferences to enable informed decisions to get the best outcomes for your business. Now, the person who performs these activities is said to be a Data Scientist. Data Science is the most high-in-demand job in the 21st century as per Glassdoor.

IS A DATA SCIENCE COURSE WORTH PURSUING AS A CAREER?

The answer is a big “YES” for lots of reasons. In the era of Digitalization, tons of data are generated on a daily basis. This boosts up the demand for the Data Science professionals who can evaluate and extract meaningful insights and hence creating millions of jobs in terms of Data Science.

In the market, there is a huge difference between the demand and supply of these professions and therefore it is creating a large number of job opportunities. Data science is also said to be the highest paid job in the IT industry. The Data Scientist career is one of the most rewarding career paths.

WHO SHOULD DO THE DATA SCIENCE COURSE?

Any graduate, postgraduate, working professionals who have logical, mathematical, and analytical skills.
Statisticians, Economists, Mathematicians.
Professionals working on Business intelligence, Data Warehousing and reporting tools.

Vaibhav Varshney
NIT Allahabad
Tejas Networks
Umang Sangal
NIT Allahabad
Ex- UBS ( Swiss bank)
Ritika Garg
DTU
AvancePR
Abhijeet Singh
BITS Pilani
Ex- Trinkerr
Vaidehi Deshpande
College of Engineering, Pune (COEP)
Ex-UBS ( Swiss bank)
Ravi Gautam
IIST
Raga.ai
Anubhav Mittal
JSS Academy of Technical Education, Noida
Ex- Virtusa
Sandeep Gaur
NIT Allahabad
Ex - MMT
Prerna Chaudhary
M.S.U
Soft Skills Trainer
Vaibhav Varshney
NIT Allahabad
Tejas Networks
Umang Sangal
NIT Allahabad
Ex- UBS ( Swiss bank)