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#1 Data Analyst
Course in Faridabad

Available Seats

14/30

Certifications from

Google & Dreamer

5.0

Experts Trainers from

KPMG & Induslnd Bank

4.4k Learners

student placed at

#1 Data Analyst
Course in Faridabad

Ready to become a PRO in

Data Analysis?

Available
Seats

14/30

Certifications
from

Google & Dreamer

Experts Trainers from

KPMG & Indusland Bank

5.0

4.4k Learners

Free Demo Class

Highlights

Here is the Success Journey of Data

Analyst Course

1500+

Students Trained

50+

Real Time Projects

99%

Placemnets record

8 LPA

Highest CTC

Highlights

Here are the Success Journey of Data Analyst Course

1500+

Students Trained

50+

Real Time Projects

99%

Placements Record

8 LPA

Highest CTC

Book Free Trial Class

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 this Course?

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

Students

Job seekers

Working Professionals

Entreprenuers

How does the Data Analyst course work?

Level-up to become job ready.

Student testimonials

SHUBHAM
SHUBHAMDATA ARCHITECT
Read More
Dreamer Infotech offers the best Data Analyst course in Faridabad. The instructors were knowledgeable and provided clear explanations, making complex concepts easy to understand. The practical exercises and real-world examples helped me apply my learning effectively.
PREETI
PREETIDATA ENGINEER
Read More
The Data Analyst Course from Dreamer Infotech has been a game-changer for me. The curriculum is well-designed, covering a wide range of data analysis techniques and tools. The instructors are industry experts who provide in-depth knowledge and practical insights.
VINOD
VINODDATA SCIENTIST
Read More
I recently completed the Data Analyst Course provided by Dreamer Infotech, and I'm extremely satisfied with the quality and depth of the content. The course covers everything from data cleaning and manipulation to visualization and statistical analysis. The instructors are engaging and explain complex concepts with ease.
PRASHANT
PRASHANTDATA VISUALIZATION SP...
Read More
I am absolutely thrilled with the Data Analyst course at Dreamer Infotech. The course content was comprehensive and covered a wide range of data analysis techniques. The instructors were industry experts who provided valuable insights and practical examples.
ADITYA
ADITYADATA ENGINEER
Read More
I enrolled in the Data Analyst course at Dreamer Infotech. I have learned data science from skilled trainers with work on practical projects. The trainers are very friendly and the work environment is nice. There are also doubt classes and work on live projects in digital marketing.
HARSHIT
HARSHITDATA ANALYST MANAGER
Read More
I have studied a Data Analyst course in Faridabad at Dreamer Infotech. The course covers a wide range of data analysis techniques, including advanced Excel functions, SQL queries, and data visualization. The practical exercises and real-world case studies make the learning experience immersive and practical.

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 Analyst Play?

Data Scientist

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

Business Intelligence Analyst

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

Data Engineer

Design, build and maintain data systems, develop data pipelines, and ensure data availability for analysis.

Data Architect

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

Data Analyst Manager

They guide and mentor analysts, manage projects, coordinate efforts, and communicate insights to seniors.

Data Visualization Specialist

Specialize in data visualization, focus on creating visually appealing and informative dashboards, interactive.

Join Data Analyst Course in Faridabad

Data Analyst Syllabus

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
  • Python Functions
    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 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 iloc

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

Register now

Chat GPT

Learn To Leverage ChatGPT
in Data Analysis

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.

Projects for Data Analyst

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

  • 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

Sales and Marketing Analysis

Analyzed customer data to identify buying patterns and customer segmentation for targeted marketing campaigns.Analyzing sales data to optimize pricing strategies and identify cross-selling.

Financial Analysis

Analyzed financial data to identify trends and patterns, such as revenue growth, cost optimization, or cash flow analysis. Conducting risk analysis by analyzing historical data and identifying potential financial risks.

Customer Analytics

Conducted customer segmentation analysis to identify different customer groups and develop personalized marketing strategies. Analyzing customer feedback and sentiment data to gain insights into customer satisfaction and preferences.

Website or App Analytics

Analyzed website or app traffic data to understand user behaviour, identify drop-off points, and optimize user experience.Conducting A/B testing and analyzing user engagement data to optimize website/app design and conversion rates.

Healthcare Analytics

Analyzed patient data to identify trends and patterns in disease prevalence or treatment outcomes.Conducting predictive analytics to identify patients at high risk for certain conditions or readmissions.

Operations and Supply Chain Analysis

Analyzed production data to identify bottlenecks, optimize resource allocation, and improve operational efficiency.Analyzing inventory data to optimize inventory levels, reduce stockouts, and improve supply chain management.

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

Why Choose
Dreamer ?

Choosing Dreamer for your Data Analyst Course is a decision that grooms your career in the field of data science. Here is the reason why you should Choose Dreamer Infotech for your j.ourney in Data Analyst Career

✅ 100%  Job Assurance Program

✅ Real-time Projects

✅ Internships after Course 

✅ Capstone Project & Job Preparation

here are our hiring partner

Frequently asked question

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.

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.

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.

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.

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.

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.

How long does it take to become a Data Analytics?

Becoming a good  Data Analytics 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.

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.

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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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