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Data Science
Course in Faridabad

Available Seats

08/30

Certifications from

Google & Dreamer

4.9

Experts Trainers from

KPMG & Gartner

3.9k Learners

student placed at

Data Science
Course in Faridabad

Ready to become a PRO in

Data Science?

Available
Seats

08/30

Certifications
from

Google & Dreamer

Experts Trainers from

KPMG & Gartner

4.9

3.9k Learners

Free Demo Class

Highlights

Here are the Success Journey of

Data Science Course

1800+

Students Trained

20+

Real Time Projects

99%

Placemnets record

8 LPA

Highest CTC

Highlights

Here are the Success Journey of Data Science Course

1800+

Students Trained

20+

Real Time Projects

99%

Placements Record

8 LPA

Highest CTC

Book Free Trial Class

Join the Best Data Science Course in Faridabad

Dreamer Infotech offers the best data science course in Faridabad, We offer an exceptional learning experience with expert faculty, Comprehensive Curriculum, Hands-on Projects, and 100% Placement Assistance. We also organize recruitment drives and connect you with leading companies seeking data science professionals. So Don’t miss out on the opportunity to upscale your skills with the best data science program.

Who Can Enroll in Data Science Course

Anyone with a bachelor’s degree

Developer and Project Manager

Python Programmer

Professionals Looking For Career Switch

Fresher Who Want to Build Career In IT

AI & Business Analyst

Who can apply for the Data Scientist course?

Students who wish to Upskill themselves in the field of Data Science.

Students who wish to Upskill themselves in the field of Data Science.

Students who wish to Upskill themselves in the field of Data Science.

Students who wish to Upskill themselves in the field of Data Science.

How does the Data Science Program work?

Level-up to become job ready.

Student testimonials

ARUN
ARUNDATA SCIENTIST
Read More
I was looking to switch careers and Dreamer Infotech’s Data Science course was just what I needed. The curriculum was comprehensive up-to-date, the instructors were knowledgeable and supportive, and the dedicated career services helped me land a job in the field.
KANIKA
KANIKADATA SCIENTIST
Read More
I recently completed the Data Science course from Dreamer Infotech and I can confidently say that it was a transformative experience. If you're looking to embark on a career in data science or enhance your existing skills, this course is an absolute must!
JASLEEN
JASLEENAI EXPERT
Read More
Dreamer Infotech offers the best Data Science course in Faridabad. The instructors fostered a supportive and interactive learning environment, encouraging students to share their ideas and learn from each other. My overall experience was fantastic at Dreamer Infotech.
YOGESH
YOGESHML ENGINEER
Read More
This institute provides the best Data Science course in Faridabad. I learned Data Science course from here and the course curriculum is the best and they also provide practical training and placements to the students.
VINOD
VINODDATA ANALYST
Read More
I learned Data Science course from Dreamer Infotech. And I got the best results after practically learning digital marketing and enhancing my skills, Dreamer Infotech is one of the best IT training institutes in Faridabad, I recommend everyone to join and groom their skills.
DIVYA
DIVYADATA ARCHITECT
Read More
I had a wonderful educational experience while learning data science at Dreamer Infotech. The instructors are experienced and polite in behavior and provide practical training in Data Science. I had such a great time here now and heartily endorse the institution.

Skills you will master

Data Science

Data Science

Python

Python

Machine learning

Machine learning

git

git

nlp

nlp

sql

sql

data visualization

data visualization

AI

AI

Data Analysis

Data Analysis

Data wrangling

Data wrangling

What Roles Can A Data Scientist play?

Data Engineer

Structure the raw data so that it can be analyzed, collected, managed, and used by business analysts.

Data Administrator

The data administrator administers the data they store ,retrieve and maintain the data to be available for use.

Data Scientist

They work on predictive, algorithm development, and advanced analytics to derive valuable insights from data.

Machine Learning Scientist

ML Engineer is responsible for developing and deploying ML models that drive business insights and processes.

Data Architect

Design and manage the data architecture of an organization and work to align data with business goals.

Business Intelligence Analyst

Analyzing and interpreting data for business decision-making and delivering insights from data and reporting.

Data Science Tools that you’ll specialize

Google Search Console Logo
Google My Business logo
Google Ananlytics
Google Ads
Facebook Ads
Tube Buddy logog

Data Science Courses

Machine Learning Pro

Join our easy-to-follow program designed for business professionals, aspiring about machine learning, and anyone ready to kickstart a career in Data Science. Apply now to Join and get a high-paying job as a Machine Learning Engineer.

Data Analytics Pro

Join our easy-to-follow program designed for business professionals, aspiring analysts, and anyone ready to kickstart a career in Data analytics. Apply now to Join and get a high-paying job in the Data analyst field.

Building skills transforming career

Data Science Course Syllabus

INTRODUCTION
  • Getting Started
  • Why Python?
  • Installing Python
  • IDLE
  • Running First Python programs
PYTHON BASICS
  • Keywords and Identifiers
  • Python Variables
  • Statements & Comments
  • Basic data types (numbers, strings,
    booleans
  • Python Type Conversion
  • Python Operators
  • Assignment of Above Topics
PYTHON FLOW CONTROL

Python if…else

  • Simple if statement
  • If else statement
  • Elif statement
  • Nested if statement
  • Python for Loop
  • Python while Loop
  • Python break and continue
  • Python Pass
PYTHON COLLECTION
  • Python List
  • Python Tuple
  • Python String
  • Python Set
  • Python Dictionary
PYTHON FUNCTIONS
  • Python Functions
  • Built-in
  • User-defined
  • Scope of variable
  • Function Argument
  • Python Recursion
  • Anonymous Function(Lambda)
  • Python Global Keyword
PYTHON MODULES
  • Modules
  • User Defined Modules
  • Built-in Modules
  • OS Module
  • Math Module
  • Random Module
  • Date time Module
FILE AND EXCEPTION HANDLING
  • Python File Handling
  • Writing data to file
  • Reading data to file
  • Python Exception
  • Python Exception Handling
  • Python User-defined Exception
PYTHON OBJECT & CLASS
  • Python OOP
  • Python Class
  • Python Inheritance
  • Multiple Inheritance
  • Operator Overloading
  • Polymorphism
  • Encapsulation
MYSQL INTRODUCTION
  • What is MYSQL
  • MySQL History
  • MySQL Features
  • MySQL Data Types
  • Install MySQL
MYSQL DATABASE
  • Create Database
  • Select Database
  • Drop Database
MYSQL TABLE
  • CREATE Table
  • ALTER Table
  • TRUNCATE Table
  • DROP Table
  • MySQL Views
MYSQL QUERIES
  • MySQL Queries
  • INSERT Record
  • UPDATE Record
  • DELETE Record
  • SELECT Record
MYSQL CLAUSES
  • MySQL WHERE
  • MySQL DISTINCT
  • MySQL FROM
  • MySQL ORDER BY
  • MySQL GROUP BY
  • MySQL HAVING
MYSQL CONDITIONS
  • MySQL AND
  • MySQL OR
  • MySQL AND OR
  • MySQL LIKE
  • MySQL IN
  • MySQL NOT
  • MySQL IS NULL
  • MySQL IS NOT NULL
  • MySQL BETWEEN

Register now

Data Science Projects

Projects will be a part of your Certification in Data Science to consolidate your learning. It will ensure that you have real-world experience in Data Science 

  • Practice 20+ Essential Tools
  • Designed by Industry Experts
  • Get Real-working Experience
  • Practice 20+ Essential Tools
  • Designed by Industry Experts
  • Get Real-working Experience

Here are some examples of projects

Face Detection

Learner ensures that the system must detect the multiple faces in a single image using python 3.5 (64 bits) with open cv for face detection.

 

 

AI Chatbot

Chatbot is built by our learners by implementing ML, Al  and data science techniques.Customers input query and AI response with mapped response. JSON dataset may be used to train the chatbot, while Python can be used to implement it.

Recognition of traffic signals

In this project learners will discover how software can use a picture as input to recognize the type of traffic sign. The Traffic Signs Recognition dataset is used to train a Deep Neural Network that can identify the class of a traffic sign.Python can be used.

Census Project

Closely working with the census income data from the uci machine learning which contains thousands of income information. learners will use their data handling techniques and predict the annual income of the people.

Gender Detection and Age Prediction

By using machine learning and computer vision skills to recognise the persons face and predicting the gender and age. Python and the OpenCV library to implement Convolutional Neural Networks can be used for this project.

Speech Recognition through Emotions

The learner works on the project to identify and get the feelings from multiple files involving sound that comprises human speech. Python’s SoundFile, Librosa,and PyAudio packages can be used to produce something alike.

Why Choose
Dreamer ?

Dreamer Infotech Offers Faridabad’s N0.1 Corporate Style Data Science Course In Faridabad. Here are the reason why you should choose Dreamer Infotech for you journey in Data Science.

 

here are our hiring partner

Frequently asked questions

Is it the best data science institute in Faridabad?

Yes, Our institute is well-recognized as one of the best data science institutes. Our comprehensive curriculum, Industry experienced faculty, and hands-on projects make us the preferred choice among students and professional seekers.

What is the data science course duration in Faridabad?

 The duration of a data science course can vary, but it typically ranges from 6 to 8 Months.

How do you train for data science?

 We train our students for data science through a comprehensive curriculum that includes practical assignments and assignments based on industry case studies. We are providing real-world experience and skills to our students.

Who is eligible for data science?

Anyone, who has a strong analytical mindset and proficiency in programming, and a willingness to pursue a carrer in data science

What is Data Science?

Data Science is the procedure of filtering, converting, and visualizing data. And learning Data Science helps in carrier Opportunities including finance Healthcare, Marketing, and Technology.

Is Python sufficient for data science?

Yes, Python is majorly used and very suitable for data science due to its rich ecosystem of libraries and tools which are specifically designed for data analysis, manipulation, and visualization.

Who is a Data Scientist?

A Data Scientist is an analyst who is responsible for manipulating, filtering, converting, and visualizing data, it helps in the decision-making of the company.

How long does it take to become a Data Scientist?

Becoming a good  Data scientist may take 1 year or more.

Does the job assistance program guarantee me a Job?

 No, It’s not a job guarantee program, we train you for interviews and then conduct interviews after the completion of the course.

What kind of projects are included as part of the training?

We offer practical and project-based training which makes us different from other institutions.

Popular Courses

AGGREGATE FUNCTIONS
  • MySQL count()
  • MySQL sum()
  • MySQL avg()
  • MySQL min()
  • MySQL max()
MYSQL JOIN

MySQL JOIN

DATA ANALYTICS

DATA PRE-PROCESSING/WRANGLING

NUMPY
  • Fundamentals of NumPy
  • Types of arrays in NumPy
        Ones
        Empty
        Zeros
        Create Random Array
  • Reshaping of the array
         1-D to 2-D array
         2-D to 3-D array
         3-D to 1-D array
  • Arithmetic operations on  Array
         Addition
         Subtraction
         Multiplication
         Exponential
  • Slicing of the array
        How to slice array
        Change in properties during slicing
  • Transpose of a matrix
        How to take transpose
        Rows and columns  while taking transpose
  • Dot product of the matrix
       How to take Dot product of the Matrix
PANDAS
  • Data Frame
         What is Pandas Dataframe
         Different ways to create a Dataframe
        Read data from different sources and convert them to the Dataframe.
  • Pandas Series
        What is panda Series
        How to create a Panda Series.
  • Data inspection
         Using Count, info, head, tail.
         Using Shape, describe, unique, value etc
  • Data Slicing
        Data Slicing loc and iloc
  • Dataframe operations
         How to create a column or row
        How to delete a column or row
    Operations on Rows and Columns
  • Arithmetic operations on rows and
    columns
  • Handle Duplicate value and Null value
  • Handle outlier data
  • Group by Operations
  • Data Reshaping
  • Merging, Joining ,concatenation and
    append
  • Time series
MATPLOTLIB
  • Matplotlib for 3-D visualization
  • Bar, Pie, line, histogram
  • Countplot, boxplot, heatmap
SCIKIT-LEARN
  • Scikit models
  • Preprocessing using Scikit learn
  • Classification using Scikit-learn
  • Clustering using Scikit-learn
  • Regression using Scikit-learn
STATISTICS
  • Scalar and vector
  • Introduction to linear algebra
  • Measure of central tendency mean
  • Measure of central tendency mode
  • Measure of central tendency mode
  • Variance
  • Standard deviation
    Measure of shape skewness
    Measure of shape kurtosis
    Covariance and correlation
PROBABILITY
  • Importance of probability
  • Discrete and continuous variable
  • Bayes Theorem
  • Central Limit theorem
  • Normal Distribution
  • Bernoulli distribution
  • Uniform Distribution
HYPOTHESIS TESTING
  • Hypothesis testing and mechanism
  • Confidence interval
  • Margin of Errors
  • Confidence levels
  • T test and P values using python
  • Z test and P values using python
  • Chi Squared Distribution using python
LINEAR REGRESSION
  • Types of variables
  • Types of Linear variables
  • Mathematics Behind it
  • Implementation of the model
  • Testing and Check
  • Performance of the model
  • Assumptions of the Linear Regression
POLYNOMIAL REGRESSION
  • Need of polynomial Regression
  • Types of Variables in the Polynomial regression
  • Mathematics behind it
  • Implementation of the model
  • Testing and check performance of the
    model
MULTIPLE REGRESSION
  • Need of multiple Regression
  • Mathematics behind it
  • Implementation of the model
  • Testing and check performance of the model
RANDOM FOREST ALGORITHM
  • Why to use random Forest
  • Assumptions in random Forest
  • Working and Implementation of the Model
  • Data Pre-processing in Random Forest
SUPPORT VECTOR MACHINES
  • Types of SVM
  • Implementation of the SVM
  • Creating confusion matrix
NAIVE BAYES CLASSIFIER ALGORITHM
  • Bayes Theoram
  • Implementation of Naïve Bayes
    Classifier
  • Type of Naïve Bayes Model

Need Consultation?

Need Consultation?

JAVASCRIPT EVENTS

Event listeners and handlers
Mouse events
Keyboard events

DOCUMENT OBJECT MODEL (DOM)

Accessing and manipulating HTML elements
DOM navigation and manipulation
Creating and removing HTML elements

1. INTRODUCTION TO REACT.JS

What is React.js?
History and evolution of React.js
React.js components and their role in
building web applications
Setting up the development environment

JSX

Introduction to JSX
Basic syntax and rules of JSX
Embedding expressions in JSX
Conditional rendering in JSX
Working with lists in JSX

REACT COMPONENTS

Understanding components
Creating class components
Creating functional components
Props and state in React components
Lifecycle methods in React components

REACT EVENTS

Handling events in React
Binding event handlers in React
Passing data to event handlers in React
Conditional rendering based on events in
React

REACT FORMS

Creating forms in React
Handling form submission in React
Controlled and uncontrolled components
in React

REACT ROUTING

Introduction to React Router
Setting up routing in React
Creating routes in React

INTRODUCTION TO MONGODB

What is MongoDB?
Advantages of MongoDB over RDBMS
MongoDB data model and architecture
Setting up the development environment

CRUD OPERATIONS

Creating and inserting documents in
MongoDB
Reading documents from MongoDB
Updating documents in MongoDB
Deleting documents from MongoDB

QUERYING MONGODB

Querying MongoDB using find() method
Querying MongoDB using comparison and
logical operators
Querying MongoDB using regular
expressions
Querying MongoDB using aggregation
framework

INTRODUCTION TO NODE.JS

What is Node.js?
Advantages of Node.js over other serverside technologies
Node.js architecture and event-driven
programming model
Setting up the development environment

NODE.JS MODULES

Introduction to Node.js modules
Creating and using built-in modules
Creating and using custom modules
Working with NPM (Node Package
Manager)

NODE.JS HTTP

Creating HTTP server in Node.js
Understanding HTTP methods and status
codes
Handling HTTP requests and responses
Serving static files in Node.js

EXPRESS.JS FRAMEWORK

Introduction to Express.js framework
Creating and configuring Express.js
application
Handling HTTP requests and responses in
Express.js
Implementing middleware in Express.js

NODE.JS DATABASE CONNECTIVITY

Introduction to database connectivity in
Node.js
Connecting to MongoDB database in
Node.js
Performing CRUD operations in Node.js
using MongoDB
Using Mongoose ORM with MongoDB in
Node.js

NODE.JS SECURITY

Introduction to security in Node.js
Understanding and implementing
authentication and authorization in
Node.js
Implementing HTTPS in Node.js
Preventing common security vulnerabilities
in Node.js

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