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Data Science & Machine Learning

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  • Get 10+ Guaranteed Interviews Opportunities
  • 4+ Live Projects
  • 100+ Updated Interview Questions
  • Expert Instructors from Industry

Program Overview

Duration

Format

Max CTC upto

Tools & Technologies covered

06 Feb 2023
Schedule Classes
Days - Monday-Friday
Timing - Flexible
Batch Occupancy 10
Course Fee ₹ 15,999.00 ₹ 10,999.00

Course Feature

4-5 Months of Course Duration
50+ hours of training (Live + Recorded)
10+ Guaranteed Interview opportunities
100% Assured Job opportunities
3+ Live Projects
100+ Updated Interview Questions
10+ Quizzes
24 * 7 Support
Expert Instructors
Industry Valid Certificate
Company Highly recurring Data Science & Machine Learning candidates
Testimonials

My experience with Dhruvon was remarkable, everything I learnt was easy to comprehend and it was explained in a very elaborate but brief manner, it was a very easy method to understand such a hard course as it would have taken me months to understand it from someone else. Wherever I had a doubt it was cleared in only a few minutes with proper feedback too.

Gaurav Punjabi

I would highly recommend this course to anyone who is looking to gain some knowledge with Python. Dhruv Sharma (course instructor) is the man! He explains things really well and shows great examples throughout his explanation. Again I highly recommend it.

Akshat Kaushik

My Son surprised me with his coding skills & the credit goes to Dhruvon for making his learning so simple yet informative. Dhruvon teaches in Hindi. I believe that's their USP

Kamal
5000 +
Students mentored
171000 +
Hours of training
10 +
Courses
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Why to learn Data Science & Machine learning?
  • The high demand for data scientists makes it a great career choice for you.
  • The data science career path can provide you with a high earning potential if you have the right skill set. 
  • Data science is a fast-growing industry, and it’s here to stay, which increases job security compared to other traditional industries. 
  • There are multiple opportunities within the data science field, which you can choose based on your interest.  Different industries require data scientists, which ensures higher flexibility.

Mentors & Instructors

mentor

Hi, I am Dhruv Sharma , Founder & Senior Mentor at Dhruvon Technology.

I believe in the idea of "gharghar coder", i.e , aims at providing access to learn programming to every house in the country. I have transformed more than 2000+ students in the field of coding by achieving their dream position in different companies like Dream11, Walmart, TCS, Infosys , etc.

mentor

My name is Shikha Singh and I am a professional coding teacher with over 6 years of experience.

I hold a B.E. degree and have a strong passion for helping others learn and grow in the field of computer science. Throughout my career, I have had the opportunity to teach a variety of programming languages including Python, C++ , javascript and more One of my greatest joys as a teacher has been the opportunity to work with over 500+ students, helping them to achieve their goals and succeed in their studies. I am dedicated to providing high-quality, personalized instruction to each and every one of my students.

mentor

I am Jyotika Negi , Full stack web development instructor at Dhruvon.

I have been teaching web development with HTML, CSS, Javascript for more than 2 year now . I have been conducting webinars and introductory sessions on web development for more than 3 years, also participated in various Hackathons and worked on various web applications and websites that includes movie recommendation system, tiktok ,Instagram clone etc. At Dhruvon, I am just combining my two passions that is coding and teaching

FAQ's

What are the prerequisites for taking that course?

This course does not require any prior programming experience.

How do I get my doubts resolved?

We at Dhruvon offer 24*7 chat support and live classes with our dedicated doubt-solving technical experts to ensure you resolve your queries in no time.

Is there any guarantee I will have an internship or job after completing the course?

We have partnered with over 50+ companies that can help you with the placement. You will get guaranteed 10+ Interview Opportunities. We also have a dedicated placement cell to help secure your dream job.

Can I pay using EMI?

You can avail of a 0% interest rate by using all major credit cards and selecting the appropriate option at the time of checkout. If you do not have a credit card, please contact us at 9027236252 or email contact@dhruvon.com with your requirements.

Where will the class be conducted? What are the course timings?

Our classes are conducted in an online form, which includes a blend of live + recorded sessions. We’ll share the timings of the live lectures with you once you enroll in our data science and machine learning course.

What if I'm unable to attend a Live class?

Don't be concerned! You will receive a recording of each lecture that you can refer to if you happen to miss it.

My exams are coming; can I pause between the courses?

Yes, we at Dhruvon have a course pause facility where you can pause your learning between exams to get flexibility in your learning curve.

What is the approximate stipend & salary offered in an internship through the Dhruvon placement cell after completing the course?

The average package at Dhruvon is 4LPA – 16LPA, based on the skills, practical knowledge, job profile, and problem-solving approach. 

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How to earn the Certificate ?

Upon successful completion of the course you will earn a certificate. Based on your performance on different parameters such as attendance in the sessions, assessment scores, etc. you will be awarded a certificate by Dhruvon.

Curriculum

Introduction to Programming
  • HISTORY
  • WHY BETTER
  • TYPE (PROCEDURAL AND STRUCTURAL)
  • USE IN FUTURE TECHNOLOGY
  • INSTALLATION
  • SETUP and FIRST PROGRAM
  • PYTHON IDENTIFIERS
  • KEYWORDS AND INDENTATION
  • TYPES OF COMMENTS
Basics of Python
  • INTRODUCTION TO VARIABLES
  • GETTING USER INPUT
  • COMMAND LINE ARGUMENTS
  • VARIABLES
  • NUMBERS
  • PYTHON DATATYPES
Python Collections
  • BASIC OPERATORS
  • LIST
  • TUPLES
  • DICTIONARIES AND SET
  • ITERATORS (Star patterns)
Conditional Statements
  • IF – ELSE CONDITIONS
  • MORE ON ITERATORS USING COLLECTIONS
  • TYPE CASTING
  • STRINGS
  • MORE ON LISTS AND DICTIONARIES
Functions & Methods
  • FUNCTIONS (LOCAL FUNCTION) AND STRING MANIPULATION
  • GENERATORS AND DECORATORS, MODULES AND PACKAGES (NAME = __MAIN__)
  • BASIC LOCAL METHODS AND FSTRING
  • USER DEFINE METHODS AND ARGS, KWARGS
  • RETURNING A RESULT FROM FUNCTION, ANONYMOUS FUNCTION
  • RECURSION
Object Oriented Programming
  • CLASSES & OBJECTS
  • CONSTRUCTOR & DESTRUCTOR
  • INHERITANCE
  • ENCAPSULATION AND ABSTRACTION
  • POLYMORPHISM
Advanced Python
  • EXCEPTION Handling AND ERRORS
  • TRY EXCEPT ELSE AND TRY FINALLY CLAUSE
  • TRY EXCEPT ELSE AND TRY FINALLY CLAUSE
  • USER
  • DEFINED EXCEPTION, RAISING EXCEPTION AND STANDARD EXCEPTIONS
  • PYTHON FILE HANDLING - WRITING CREATING AND DELETING FILES
  • PYTHON REGEX MATCH
  • SEARCH
  • REPLACE EXTENDED REGEX AND WILD CARD
Introduction to Data Structure & Algorithm
  • WHAT IS TIME COMPLEXITY
  • INTRODUCTION TO ASYMPTOTIC NOTATIONS [BIG O, BIG OMEGA, BIG THETA]
  • BET, WORST AND AVG CASE ANALYSIS OF AN ALGORITHM
  • CALCULATE TIME COMPLEXITY OF ALGORITHM
Arrays
  • WHAT IS ARRAY ABSTRACT DATA TYPE IN DATA STRUCTURE
  • ARRAY AS AN ABSTRACT DATA TYPE IN DATA STRUCTURE
  • IMPLEMENTATION OF ARRAY AS AN ABSTRACT DATA TYPE
  • ARRAY OPERATIONS
  • INSERTION OPERATION IN ARRAY
  • DELETION IN ARRAY
  • LINEAR & BINARY SEARCH
Linked List
  • CONCEPT CREATION & TRAVERSAL
  • INSERTION OF NODE
  • INSERTION IN A LINKED LIST
  • DELETION IN LINKED LIST
  • DELETION OF NODE FROM A LINKED LIST
  • INTRO TO CIRCULAR LINKED LIST
  • OPERATIONS IN CIRCULAR LINKED LIST
  • INTRO TO DOUBLY LINKED LIST
  • INTRO TO STACK IN DATA STRUCTURE
  • STACK IMPLEMENTATION
  • STACK IMPLEMENTATION
  • OPERATIONS OF STACK [PUSH, POP, ISEMPTY, ISFULL]
  • PEEK OPERATIONS IN STACK USING ARRAY
  • OTHER STACK OPERATIONS [STACKTOP, STACKBOTTOM]
  • STACK USING LINKED LIST
  • IMPLEMENTATION OF STACK OPERATIONS USING LINKED LIST
Queue
  • IMPLEMENTATION
  • IMPLEMENTATION USING ARRAY
  • OPERATIONS OF QUEUE
  • CIRCULAR QUEUE INTRODUCTION
  • OTHER QUEUE OPERATIONS [ENQUEUE, DEQUEUE]
  • QUEUE USING LINKED LIST AND IMPLEMENTATION
  • DOUBLE ENDED QUEUE
Intro to Sorting Algorithm
  • CRITERIA FOR ANALYSIS OF SORTING ALGORITHM
  • BUBBLE SORT
  • INTRO TO BUBBLE SORT
  • INSERTION SORT
  • SELECTION SORT
  • MERGE SORT
  • COUNT SORT
Tress
  • GENERIC TREES
  • BINARY TREES
  • BINARY SEARCH TREES
Advanced Data Structure & Algorithm
  • HASHMAPS
  • GRAPHS
  • PRIORITY QUEUES
DYNAMIC PROGRAMMING
Data Science
  • What is Data Science ?
  • Important Python Libraries & framework used in Data Science
  • Numpy
  • Pandas
  • Scikit Learn
  • Matplotlib
  • Keras
  • Frameworks like Tensorflow
  • Basics for the models
PROBABILITY CONCEPTS
  • Random variables
  • Binomial DIstribution
  • Continuous Random Variables
  • Conditional Probability
  • Bayesian Concepts
STATISTICS CONCEPTS
  • Mean, Median and Mode
  • Variance and Standard Deviation
  • Gaussian Distribution
  • Hypothesis Testing
WEB SCRAPING
MACHINE LEARNING CONCEPTS
  • Supervised and Unsupervised Learning
  • Classification and Regression
  • Classification Algorithms and their use
  • Regression Algorithms
  • Unsupervised Learning Concepts
NEURAL NETWORKS
  • Need of Neural Networks
  • Terminologies
  • Different Functions
  • Forward and Backward Propagation
  • Weights and Biases
  • CNN(Pooling layers, Strides and Patterns, Maxpool Functions)
  • RNN
  • Optimisation Techniques
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