Data Analyst Course in Delhi with Placement Support

We have designed our Data Analyst Course in Delhi to make you skilled in data collection, data analysis, and data visualization through SQL, Excel, Power BI, Python, and Tableau.

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Data Analyst Course(#114)

Course Overview

This Data Analytics Course in Delhi is primarily focused on technical and analytical thinking development. This course is designed for you, whether you are a fresher or an IT professional seeking to advance skills, to understand how companies make decisions using data. 

By the end of the course, you will: 

This all-inclusive program offers live sessions, assignments, and projects, as well as placement assistance designed to help you secure your first analytics position. 

Delhi is one of the best places to start your career in data analytics. Work on real-life projects and learn from industry professionals to help you prepare for a Data Analyst career.

Data Analyst Course

Upcoming Batches

Choose a schedule that fits your lifestyle

What is Data Analytics and Why It Matters?

Data Analytics is the study of turning raw information into useful intel. Businesses use Data Analysis to make better choices – whether it includes assessing and improving the profitability of a marketing campaign, enhancing the overall customer journey, or boosting operational efficiencies.

In this process, analysts have to:

Extract information from several available sources and tools, such as APIs, CRMs or Other databases.

Systematically constructing and organizing the information, and as a result, the information is accurate and consistent.

Studying the information with the help of various software solutions like Python, SQL, and Excel.

Constructing and showing the final information in the form of reports or dashboards through BI tools such as Power BI or Tableau.

If you learn these processes effectively, you will be able to find and explain the various trends, patterns, and forecasts, and as a result, help the organization in making data-driven business decisions.

Why Choose a Data Analytics Course in Delhi?

Delhi is the capital of India and is seen as a popular, expanding analytics and technology jobs arena. Each and every organization, from large-scale MNCs to budding start-up enterprises, requires data-driven decision-making. With this growing demand, PyNet Labs stands out among the best institutes for data analyst course in Delhi, attracting learners from areas like Rohini, Dwarka, Lajpat Nagar, Connaught Place, and Noida, and helping them build skills that match industry needs.

Here is why you should take up the Data Analyst Course in Delhi:

Abundant Job Offers

In the Delhi NCR region, you can find thousands of enterprises looking to hire analytics specialists every single month.

Great Networking Opportunities

There are several analytics communities, so that you can be a part of meetups, seminars, and workshops organized by the analytics communities.

Career Growth

Major companies such as Genpact, Accenture, and Deloitte have a strong presence in analytics and a large portion of their workforce in Delhi.

Flexible Learning Choices

You have the option to train either online or in person to fit your availability.

With the proper training, you can start your analytics journey right here in Delhi and grow your career nationwide.

What You'll Learn - Complete Syllabus

Our data analyst course in Delhi covers the entire analytics workflow, from raw data to insights and dashboards.

Module 1 (8 Hours): Introduction to Data Analytics

Part 1:  DATA ANALYTICS FOUNDATION

  • Data Analytics Introduction
  • Data Preparation for Analytics
  • Common Data Problems
  • Various Tools for Data Analytics
  • Evolution of the Analytics domain

Part 2: CLASSIFICATION OF ANALYTICS

  • Four types of Analytics
  • Descriptive Analytics
  • Diagnostics Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Human Input in Various Types of Analytics

Part 3: CRIP-DM Model

  • Introduction to the CRIP-DM Model
  • Business Understanding
  • Data Understanding
  • Data Preparation
  • Modelling, Evaluation, Deploying, Monitorin

Module 2 (16 Hours): Microsoft Excel

  • ⁠Introduction to Excel Tables
  • Validations
  • Conditional Formatting
  • Advanced Filters
  • Hyper/Data Linking
  • Data Visualization and Dashboarding
  • Collaboration and Integration
  • Advanced Data Techniques
  • Macros and VBA Programming

Module 3 (16 Hours): Introduction to Python

  • Working with Jupyter Notebook
  • Python concepts:
    o Print function
    o Variable
    o Loops
    • If
    • Else
    • For
    • While
  • Python Data Structures:
    o Array
    o Sets
    o List
    o Tuple
    o Dictionary

Module 4 (8 Hours): Introduction to Statistics

  • Introduction to Descriptive Statistics
    o Mean
    o Outlier
    o Median
    o Mode
    o Skew
    o IQR
  • Bivariate relation
  • Linearity, strength, direction
  • Slope of regression
  • Causality and correlation
  • Interpreting various graph formats:
    o Dot Plot
    o Histograms
    o Box and Whisker
    o Scatter Plots

Module 5 (16 Hours): Analytics using Python

  • Data cleaning
  • Data pre-processing
  • NumPy and Pandas Python Libraries
  • Data visualisation using Seaborn and Matplotlib
  • Data Analytics with Python
  • Case studies
  • Project

Module 6 (16 Hours): Power BI

  • Introduction to Power BI
  • Power BI Interface and Navigation
  • Connecting to Data Sources
  • Data Cleaning and Transformation
  • Advanced Transformations in Power Query
  • Data Modelling Fundamentals
  • DAX (Data Analysis Expressions) Basics
  • Advanced DAX Functions
  • Creating Basic Visuals
  • Advanced Visualizations
  • Mapping and Geospatial Visualizations
  • Custom Visuals and App Store
  • Designing Dashboards
  • Dashboard Interactivity
  • KPI Dashboards
  • Publishing and Sharing Reports
  • Collaborating in Power BI Service
  • Scheduled Refresh and Data Management
  • Advanced DAX and Calculations
  • Performance Optimization
  • Row-Level Security (RLS)
  • Case Studies

Module 7 (16 Hours): SQL

  • Introduction to Databases
  • What is SQL?
  • Installing MySQL
  • Creating the Databases
  • The SELECT Statement
  • The SELECT Clause
  • The WHERE Clause
  • The AND, OR, and NOT Operators
  • The IN Operator
  • The BETWEEN Operator
  • The LIKE Operator
  • The REGEXP Operator
  • The IS NULL Operator
  • The ORDER BY Operator
  • The LIMIT Operator
  • Inner Joins
  • Joining Across Databases
  • Self Joins
  • Joining Multiple Tables
  • Compound Join Conditions
  • Implicit Join Syntax
  • Outer Joins
  • Outer Join Between Multiple Tables
  • Self Outer Joins
  • The USING Clause
  • Natural Joins
  • Cross Joins
  • Unions
  • Column Attributes
  • Inserting a Single Row
  • Inserting Multiple Rows
  • Inserting Hierarchical Rows
  • Creating a Copy of a Table
  • Updating a Single Row
  • Updating Multiple Rows
  • Using Subqueries in Updates
  • Deleting Rows
  • Restoring Databases

Module 8 (16 Hours): Tableau

  • Introduction to Tableau
  • Connecting to Data Sources
  • Data Preparation Basics
  • Data Blending and Joins
  • Data Transformation with Tableau Prep
  • Basic Charts and Visualizations
  • Formatting Visuals
  • Tableau’s Show Me Feature
  • Advanced Charts and Visualizations
  • Calculated Fields and Table Calculations
  • Using Filters and Sets
  • Introduction to Tableau Maps
  • Advanced Mapping Techniques
  • Spatial Calculations and Custom Territories
  • Dashboard Design
  • Adding Interactivity
  • Designing Data Stories
  • Publishing and Sharing Dashboards
  • Tableau Server and Tableau Online
  • Exporting and Presentation
  • Advanced Calculations and LOD Expressions
  • Performance Optimization
  • Tableau Extensions and APIs
  • Case Studies
  • Final Project

Module 9 (8 Hours): Capstone Project

  • A comprehensive, end-to-end project to apply all course concepts.
  • Solves a real-world or business-simulated problem using data

Languages and Tools You will Master

Youll gain hands-on experience with:

Tableau Logo
PowerBI Logo
SQL Logo
Excel Logo
Python Logo
Pandas Logo
NumPY Logo
Matplotlib Logo

Every topic includes practical assignments and guided projects to ensure deep understanding and application.

Why Choose PyNet Labs?

Live + Recorded Learning Options

Attend classes live or watch recordings at your convenience.

Industry Expert Trainers

Learn from experienced industry recognized professionals. 

Practical Approach

Our teaching is centered on real-world projects instead of just theoretical concepts.

Portfolio Development

We will assist you in creating an impressive GitHub and Power BI portfolio.

Flexible Learning Schedule

Select either a weekday or weekend batch.

Placement Assistance

Resume building, interview prep, and job referrals until you land your role

Who can join the Data Analyst Course in Delhi?

This course is ideal for:

Fresh graduates looking for a career in analytics
Working professionals planning a career switch
Non-IT professionals wanting to enter the data field
Entrepreneurs who want to make data-driven business decisions

Career Opportunities After the Data Analyst Course in Delhi

Once you complete this course, you can apply for roles such as: 

Data Analyst
Business Analyst
Reporting Analyst
Data Visualization Specialist
Junior Data Scientist

Delhi’s rapidly expanding analytics ecosystem ensures that skilled professionals have multiple opportunities across industries like finance, healthcare, retail, and IT. 

What Our Students Say About Us?

Skills You'll Learn

Data Cleaning and Preparation
Statistical Analysis and Interpretation
SQL Querying and Database Management
Python for Data Analysis
Power BI and Tableau Visualization
Business Problem Solving and Decision-Making

Our Students Placed At

Learn from Industry Experts

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Enroll in the Data Analyst Course in Delhi Today

There is an increase in demand for skilled analysts in Delhi and the Analytics Job Market is booming. Start your data analytics career with the Data Analytics Course in Delhi offered at PyNet Labs.

To get complete syllabus and upcoming batch details.

Frequently Asked Questions

Q1. How long will I have to take the Data Analytics Course in Delhi?

The data analytics course in delhi takes between 3.5 and 6 months to complete, depending on the training mode that the individual picks.

Q2. Which tools and technologies will I learn in this training?

Our Data analyst Course in delhi teaches all the core tools utilized by leading data specialists, such as SQL, Power BI, Tableau, Excel, Python, and the data analysis libraries NumPy & Pandas, and Matplotlib/Seaborn for data visualization.

Q3. Can a non-technical person join the Data Analyst course in Delhi?

Yes, anybody can join this course, whether they are from a technical or a non-technical background. Our course is designed by experts for beginners from any background – Commerce, Arts, or Science.

Q4. What is the earning potential after completing this course?

An entry-level Data Analyst in the Delhi NCR region can earn from INR 3.5 LPA to 6 LPA. After 2 to 3 years of experience, professionals can earn between 7 LPA and 12 LPA, depending on skills and the organization.

Q5. Is Data Analytics a good career choice for 2026 and the years after?

Data Analytics is a great career choice in 2026 and the coming years. The huge demand for Data Analysts and the increase in the number of businesses going digital are a great combination. 

Q6. What kind of projects will I work on in this course?

You will work on several real-world case studies, such as Module-Wise Mini Projects, Short business problems from sectors like retail, finance, and healthcare, Retail sales forecasting using historical data, etc. 

Q7. What are the prerequisites to join this course?

There are no formal mandatory prerequisites to join the data analyst course in Delhi. Anyone eager to learn can join the course. You just need basic computer knowledge. 

Q8. Do you offer weekend classes for working professionals?

Indeed, we provide weekend and weekday sessions designed specifically for students and those who are employed. You have the option to select the one that aligns best with your availability.

Data Analyst Course in India

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