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Data Analyst Course

in Faridabad

Join the Best Data Analyst Course and Get 100%  Placement Assurance

Data Analyst
Course

in Faridabad

Join the Best Data Analyst Program and
Get 100% Guaranteed Placement

Upcoming Batch

Days
Hours
Minutes
Seconds

Enroll Now & Get Hired in 4 Months

Get placed in your dream company in just 4 months

Need Some Assistance?

5K+

Learners

15+

Live Projects       

15+

Certification         

5K+

Learners

15+

Live Projects

15+

Certification

What Roles can
Data Analyst play ?

What Roles can
Data Analyst play ?

Data Analyst course which helps you to land into high paying Job roles like..!

Data Scientist

Data
Scientist

Business Intelligence Analyst

Business
Analyst

Data Analyst Manager

Data Analyst Manager

Data Engineer

Data
Engineer

Data Visualization Specialist

Data Visualization Specialist

Data Scientist

Data
Scientist

Business Intelligence Analyst

Business
Analyst

Data Analyst Manager

Data Analyst
Manager

Data Engineer

Data
Engineer

Data Visualization Specialist

Data Visualization
Specialist

How does the Data Analyst course work?

Level-up to become job ready.

Join the Best Data Analyst Course in Faridabad

Dreamer Infotech offers the best Data Analyst 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 analytics program. Dreamer is the No.1 Data Analyst Course across Delhi/NCR and our different Data Analyst course keeps DREAMER always on top among all its competitors. Data Analyst Course in Faridabad offered by DREAMER covers all the latest Modules and topics that are required in this course.

Who can Enroll for Data Analyst Course?

We believe there’s no restriction on learning a new skill. 

Students

Job seekers

Working Professionals

Entreprenuers

Skills You Will Master In Data Analyst Course

DATA SCIENCE

PYTHON

MACHINE LEARNING

GIT

NLP

SQL

DATA VISUALIZATION

AI

DATA ANALYSIS

DATA WRANGLING

Skills You Will Master In Data Analyst Course

Data Science

Python

Machine Learning

Git

NLP

SQL

Data Vislualization

AI

Data
Analysis

Data
Wrangling

What Makes Us Different

2-3 MONTHS INTERNSHIP

LIFETIME SUPPORT

AFFORDABLE FEE

1 : 1 DOUBT SESSION

Guaranteed
Two Month Internship

Secure Your Two-Month Internship Experience.

Lifetime
Student Support

Your Success, Our Commitment.

1 : 1
Doubt Session

Your Satisfaction, Our Promise.

Chat GPT

Learn To Leverage ChatGPT
in Data Analyst Course

ChatGPT can assist in data analysis by answering questions, generating insights from data, helping with data interpretation, and providing guidance on data-related tasks. Just ask a question or provide data, and ChatGPT can offer explanations, suggestions, and clarity All the additional information that how to use Prompts in ChatGPT we will cover all the necessary steps in this Data Analyst course..

Analyst Tools

Master all these tools in  Data Analyst Course to drive results in today’s competitive landscape.

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Power BI
Tableau
alteryx
NUmpy
git
blank
blank
Python
Excel
Matplotlib
Pandas
Mysql
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Power BI
Tableau
alteryx
NUmpy
git
Python
Excel
Matplotlib
Mysql
blank
Pandas
blank

Get Certified with Dreamer

Get Certified with Dreamer

Certificate

After finishing this program, you'll receive a completion certificate from Dreamer Infotech.

Credible

It affirms the skills of more than 15,000 learners in the industry, enhancing your credibility and providing a competitive edge.

Shareable

Maximize the value of your certificate by displaying it on LinkedIn and other job platforms.

data-analyst-course
data-analyst-course

Join Best Data Analyst Course in Faridabad

Data Analyst
Syllabus

Python
  • 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 Function
    • Built-in
    • User-defined
    • Scope of variable 
    • Function Argument
    • Python Recursion
    • Anonymous
    • Function(Lambda)
    • Python Global Keyword
MySQL Database
  • Create Database
  • Select Database
  • Drop Database
  • CREATE Table
  • ALTER Table
  • TRUNCATE Table
  • DROP Table
  • MySQL Views
  • MySQL Queries
  • INSERT Record
  • UPDATE Record
  • DELETE Record
  • SELECT Record
Data Analytics
  • 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 an array
  • Change in properties during
  • slicing
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 loc
Machine Learning

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
Regression
  • Linear Regression

  • Polynomial Regression

  • Multiple Regression

Power Bi
  • Introduction of Power Bi
  • Power Bi Desktop
  • Data Analysis Expressions (DAX)
  • Modeling with Power Bi
  • Power Bi Desktop Visualizations
  • Power Bi Q&A and Data Insights
  • Direct Connectivity
  • Publishing and Sharing
  • Refreshing Datasets
Tableau
  • Introduction of Tableau
  • Getting Started with Tableau
  • Connecting Data to Tableau
  • Creating Visualization
  • Working with Dashboards
  • Sharing and Publishing Workbooks
  • Advanced Features and Tips
  • Data Type in Tableau
  • Type of Graph
  • Filter in Tableau
  • Type of Filter in Tableau
  • Discrete and Continuous Plot
  • Numeric Function
  • Date and Time Function
  • Quick Table Calculation
  • Pivot and Unpivotting
Excel
  • Advanced Excel
  • 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 Function
    • Built-in
    • User-defined
    • Scope of variable 
    • Function Argument
    • Python Recursion
    • Anonymous
    • Function(Lambda)
    • Python Global Keyword
  • Create Database
  • Select Database
  • Drop Database
  • CREATE Table
  • ALTER Table
  • TRUNCATE Table
  • DROP Table
  • MySQL Views
  • MySQL Queries
  • INSERT Record
  • UPDATE Record
  • DELETE Record
  • SELECT Record
  • 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 an array
  • Change in properties during
  • slicing
  • 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 loc

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
  • Linear Regression

  • Polynomial Regression

  • Multiple Regression

  • Introduction of Power Bi
  • Power Bi Desktop
  • Data Analysis Expressions (DAX)
  • Modeling with Power Bi
  • Power Bi Desktop Visualizations
  • Power Bi Q&A and Data Insights
  • Direct Connectivity
  • Publishing and Sharing
  • Refreshing Datasets
  • Introduction of Tableau
  • Getting Started with Tableau
  • Connecting Data to Tableau
  • Creating Visualization
  • Working with Dashboards
  • Sharing and Publishing Workbooks
  • Advanced Features and Tips
  • Data Type in Tableau
  • Type of Graph
  • Filter in Tableau
  • Type of Filter in Tableau
  • Discrete and Continuous Plot
  • Numeric Function
  • Date and Time Function
  • Quick Table Calculation
  • Pivot and Unpivotting
  • Advanced Excel

Highlights

Here are the Success Journey of

Data Analyst Course

5000+

Students Trained

15+

Live Projects

99%

Placemnets Record

5.3 LPA

Highest CTC

Highlights

Here are the Success Journey of Data Analyst Course

5000+

Students Trained

15+

Live Projects

99%

Placements Record

12 LPA

Highest CTC

Need Consultation?

Dreamer Infotech Vs Other Institutes

If you’re seeking for best data analyst training institute in Faridabad, it’s crucial to conduct a comprehensive comparison. 

This comparative analysis will assist you in selecting the finest data analyst institute in Faridabad 

and the NCR region.

Keypoints to Compare

  • 160 Hours of Training (4 Months)
  • 3 Months Internship
  • 20+ Tools
  • 15+ Live Projects
  • Industry Experts Trainer
  • Unlimited Backup Sessions
  • Monthly Updated Curriculum
  • Personality Development Classes
  • 100% Guaranteed Placements

Dreamer Infotech

Other's

Comparison

Why Choose Us?

Dreamer Infotech

  • 160 Hours of Training
    (4 Months)
  • 3 Months
    Internship
  • 20+
    Tools
  • 15+ Live
    Projects
  • Industry Experts Trainer
  • Unlimited Backup Sessions
  • Monthly Updated Curriculum
  • Personality Development Classes
  • 100% Guaranteed Placements

Other's

  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  

10K+ Students in Faridabad Enhanced their Skills with Dreamer Infotech

Frequently Asked Questions

What is Data Analytics?

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

What is the data analytics course duration?

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

Who is eligible for data analytics?

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

How long does it take to become a Data Analytics?

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

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.

Is it the best institute for data analyst in Faridabad?

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

How do you train for data analytics?

We train our students for data analytics 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.

Is Python sufficient for learning data analytics?

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.

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 is data analyst course eligibility?

Those students who are looking for a data analysis course must have a bachelor’s degree ideally in information technology then it is Best.

Featured In

Need Consultation?

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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
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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How will I receive my certificate?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
How will I receive my certificate?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
How will I receive my certificate?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
How will I receive my certificate?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
How will I receive my certificate?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
How will I receive my certificate?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
How will I receive my certificate?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
How will I receive my certificate?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
How will I receive my certificate?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
How will I receive my certificate?

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Dreamer Infotech - Digital Marketing Course, Data Analyst, Mern Stack Course In Faridabad,Educational Consultant,Faridabad,Haryana