Delhi School of Skill Development

Leading Data Analytics Course in Pitampura with 100% Placement Support

DSSD provides a top-quality Data Analytics course in Pitampura, designed to help learners develop strong, career-oriented skills with 100% placement support. With over 8 years of training experience, DSSD offers the right combination of expert guidance and practical learning. The course includes key topics such as data visualization, statistical analysis, machine learning, and big data tools, helping students gain hands-on knowledge based on industry requirements. Under the guidance of experienced mentors, learners build the confidence to handle real-world projects. Take the first step toward a successful career in the growing field of analytics by joining DSSD and exploring exciting career opportunities. Build a bright future with DSSD’s Data Analytics course in Pitampura. Learn essential skills in data visualization, statistical analysis, machine learning, and big data tools to prepare for the evolving analytics industry. Start your journey toward success today!

Modules
50 +
Certifications
30 +
Placement Help
100 +
Students Trained
91000 +
91,000+ Students Trained
100% Placement Assistance
50+ Course Modules
6+ Training Centres
20+ Industry Tools
Offline Class Mode
Live Projects Training
Expert Mentor Support
91,000+ Students Trained
100% Placement Assistance
50+ Course Modules
6+ Training Centres
20+ Industry Tools
Online + Offline Class Mode
Live Projects Training
Expert Mentor Support
HIRING PARTNERS

Our Training and Testing Partners

Trusted hiring partners helping students build successful digital careers.

AI POWERED

AI-Powered Data Analytics Course in Pitampura | 100% Placement Assistance

Best Data Analytics Course in Pitampura – Learn Excel, SQL, Python & Power BI

Data Analytics Course in Pitampura
AI + Analytics

Data Analytics Course in Pitampura | Live Projects & Internship Opportunities

Kickstart your career with industry-focused Data Analytics training in Pitampura. Learn Excel, SQL, Python, Power BI, Tableau & AI tools through hands-on projects and practical training.

Microsoft Fabric AI

Power BI Copilot

Microsoft Copilot

Tableau AI

CURRICULUM

Master Data Analytics with the Best Data Analytics Course in Pitampura

  • Introduction to Data Analytics
  • Advanced Excel
  • SQL (Structured Query Language)
  • Python for Data Analysis
  • Data Cleaning
  • Statistics Basics
  • Data Visualization
  • Power BI / Tableau
  • Business Analytics
  • Live Projects
  • Resume & Interview Prep

Introduction to Data Analytics

Build a strong foundation in data analytics by understanding how organizations collect, process, analyze, and interpret information to solve business problems. This module introduces the fundamental concepts of analytics and explains how data-driven decisions improve performance across industries such as retail, banking, healthcare, e-commerce, marketing, and finance.

You will learn about the different types of analytics, the responsibilities of a data analyst, and the stages involved in converting raw information into useful business insights. The module also introduces data quality, privacy, ethical practices, and the importance of asking the right questions before starting an analysis.

Topics Covered:

  • Introduction to Data Analytics and its business applications

  • Importance of data-driven decision-making

  • Types of data: structured, semi-structured, and unstructured

  • Data collection, storage, and processing fundamentals

  • Understanding the Data Analytics lifecycle

  • Descriptive, Diagnostic, Predictive, and Prescriptive Analytics

  • Introduction to business intelligence and reporting

  • Data quality, accuracy, privacy, and security

  • Responsibilities and skills of a professional Data Analyst

  • Career opportunities in analytics and business intelligence

 

Advanced Excel

Learn to use Microsoft Excel as a powerful tool for organizing, cleaning, calculating, analyzing, and reporting business data. This module covers essential spreadsheet techniques as well as advanced formulas and reporting features used in everyday analytical tasks.

You will practice working with large datasets, performing calculations, identifying trends, summarizing information, and creating professional reports. PivotTables, lookup functions, conditional formatting, and dashboard techniques will help you transform spreadsheets into useful decision-making tools.

Topics Covered:

  • Excel interface, workbook management, and data formatting

  • Data sorting, filtering, and table management

  • Essential formulas and functions

  • IF, SUMIF, SUMIFS, COUNTIF, and COUNTIFS

  • VLOOKUP, HLOOKUP, XLOOKUP, and INDEX-MATCH

  • Text, date, logical, and statistical functions

  • Removing duplicates and handling missing values

  • Conditional formatting and data validation

  • Pivot Tables and Pivot Charts for summarizing data

  • Advanced charts, graphs, and reporting techniques

  • Interactive Excel dashboards and KPI tracking

  • Introduction to automation with macros

  • Practical business reporting and spreadsheet projects

SQL (Structured Query Language)

Develop the ability to retrieve and analyze data from relational databases using SQL. Since organizations store significant amounts of information in databases, SQL is an essential skill for analysts who need to extract relevant records, combine tables, calculate metrics, and prepare datasets for reporting.

This module progresses from basic queries to advanced analytical techniques. You will learn to work with multiple tables, apply conditions, summarize records, use subqueries, and perform calculations that answer common business questions.

Topics Covered:

  • Introduction to databases and relational database concepts

  • Tables, rows, columns, primary keys, and foreign keys

  • Writing SELECT statements and choosing specific columns

  • Filtering records using WHERE, AND, OR, and NOT

  • Sorting and removing duplicate results

  • Aggregate functions: COUNT, SUM, AVG, MIN, and MAX

  • GROUP BY and HAVING clauses

  • INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN concepts

  • Subqueries and Common Table Expressions

  • CASE statements and conditional calculations

  • String, date, and numeric functions

  • Window functions, ranking, and running totals

  • Data manipulation fundamentals

  • Practical SQL exercises using business datasets

Python for Data Analysis

Learn Python programming fundamentals and discover how Python libraries help analysts automate repetitive tasks, process datasets, perform calculations, and uncover patterns in information.

This module introduces programming concepts in a beginner-friendly manner before progressing to data analysis using NumPy and Pandas. You will practice importing files, transforming data, calculating summary statistics, and exploring datasets to answer practical business questions.

Topics Covered:

  • Introduction to Python and its applications in analytics

  • Variables, data types, operators, and expressions

  • Conditional statements and loops

  • Lists, tuples, sets, and dictionaries

  • Functions, modules, and reusable code

  • Working with files and importing datasets

  • Introduction to NumPy arrays and numerical calculations

  • Data analysis using Pandas DataFrames and Series

  • Reading Excel and CSV files

  • Selecting, filtering, sorting, and grouping data

  • Handling missing values and duplicate records

  • Merging and combining datasets

  • Exploratory Data Analysis using Python

  • Data summaries, trends, and statistical calculations

  • Introduction to charts and visualization with Python

  • Practical Python-based data analysis exercises

Data Cleaning

Understand why clean, consistent, and reliable data is essential for accurate analysis. Real-world datasets frequently contain missing values, duplicate records, inconsistent formats, spelling errors, and incorrect data types. This module teaches you how to identify these problems and prepare data for meaningful analysis.

You will learn techniques for improving data quality using Excel, SQL, and Python, depending on the requirements of each project. You will also understand how poor-quality data can affect reports, dashboards, and business decisions.

Topics Covered:

  • Understanding raw data and common data quality problems

  • Identifying and removing duplicate records

  • Detecting missing, null, and incomplete values

  • Handling inconsistent entries and spelling variations

  • Correcting incorrect data types and formatting

  • Standardizing dates, numbers, and text fields

  • Identifying outliers and unusual observations

  • Applying data transformation techniques

  • Combining datasets from different sources

  • Data validation and consistency checks

  • Preparing datasets for statistical analysis

  • Creating repeatable data preparation workflows

  • Practical data cleaning projects using real-world datasets

Statistics Basics

Learn the statistical concepts that help analysts understand data distributions, measure variation, identify relationships, and interpret results accurately. This module connects mathematical fundamentals with practical analytical situations so you can understand not just how to calculate metrics, but also what they mean.

You will explore descriptive statistics, probability, sampling, correlation, regression, and introductory hypothesis testing. These concepts are useful for performance analysis, customer research, forecasting, and evidence-based decision-making.

Topics Covered:

  • Fundamentals of statistics and probability

  • Population, sample, variables, and data types

  • Mean, median, mode, and percentiles

  • Range, variance, and standard deviation

  • Frequency distributions and data interpretation

  • Basic probability rules and applications

  • Introduction to common probability distributions

  • Sampling methods and sampling bias

  • Correlation and relationships between variables

  • Introduction to linear regression

  • Hypothesis testing and statistical significance

  • Confidence intervals and interpreting uncertainty

  • Identifying trends and unusual observations

  • Applying statistical concepts to business datasets

Data Visualization

Develop the skills needed to communicate analytical findings through clear charts, graphs, dashboards, and reports. Effective visualization helps decision-makers understand performance, compare results, monitor key metrics, and identify areas that require attention.

This module covers the principles of presenting data accurately and selecting the most suitable visual representation for different business questions. You will practice turning analysis into concise explanations and actionable recommendations.

Topics Covered:

  • Fundamentals of data visualization and visual storytelling

  • Selecting appropriate charts for different datasets

  • Bar charts, line charts, pie charts, and scatter plots

  • Histograms, trend charts, and comparison visuals

  • Understanding patterns, relationships, and distributions

  • KPI reporting and performance measurement

  • Dashboard layout, readability, and design principles

  • Choosing meaningful colors, labels, and chart formats

  • Avoiding misleading visualizations

  • Creating management reports and analytical summaries

  • Presenting findings to non-technical audiences

  • Communicating business insights with data

  • Practical reporting and visualization assignments

Power BI / Tableau

Explore modern business intelligence tools used to transform business data into interactive dashboards and reports. This module introduces Power BI and Tableau, covering data connections, preparation, visualization, reporting, and dashboard development.

You will learn how to combine information from different sources, create meaningful measures, track performance indicators, and present results through interactive reports. The module also introduces AI-assisted analytics concepts and relevant Copilot features where available, helping you understand how AI can support reporting and analytical workflows.

Topics Covered:

  • Introduction to Business Intelligence and dashboarding

  • Connecting Excel, CSV, and database sources

  • Importing, transforming, and preparing data

  • Data modeling, relationships, and table structures

  • Power Query for data preparation

  • DAX fundamentals, measures, and calculated columns

  • Interactive Power BI dashboards and reports

  • Filters, slicers, drill-downs, and report navigation

  • Introduction to Tableau worksheets and dashboards

  • Tableau charts, calculated fields, and filters

  • KPI monitoring and business performance reporting

  • Introduction to AI-assisted analytics and Copilot capabilities

  • AI-supported report creation and insight exploration

  • Sharing and presenting analytical findings

  • Practical Power BI and Tableau dashboard projects

Business Analytics

Understand how data analytics supports business planning, performance evaluation, customer understanding, and operational improvement. This module focuses on interpreting results in a business context rather than simply producing calculations or charts.

You will explore common business scenarios and learn how to define analytical questions, select suitable metrics, investigate performance changes, and present recommendations supported by evidence.

Topics Covered:

  • Introduction to business analytics and decision-making

  • Understanding business objectives and analytical requirements

  • Key Performance Indicators and performance measurement

  • Sales, revenue, and profitability analysis

  • Customer behavior and segmentation fundamentals

  • Marketing campaign and conversion analysis

  • Financial and operational performance reporting

  • Inventory and supply chain analytics fundamentals

  • Trend analysis and introductory forecasting concepts

  • Root-cause analysis and problem identification

  • Building reports for managers and stakeholders

  • Translating data findings into business recommendations

  • Business case studies and practical assignments

Live Projects

Apply the concepts learned throughout the course by working on practical analytical assignments and industry-style projects. Project-based learning helps you connect different tools, understand complete analytical workflows, and demonstrate your ability to work with datasets.

You will practice defining a problem, preparing the data, performing analysis, building visualizations, and presenting your conclusions. Where supported by the training program, you can use selected projects to build a portfolio for interviews and job applications.

Project Areas:

  • Sales and revenue performance analysis using Excel

  • Customer purchase behavior analysis using SQL

  • Retail business reporting and KPI dashboards

  • Exploratory Data Analysis using Python and Pandas

  • Customer segmentation and retention analysis

  • Marketing campaign performance reporting

  • Financial data analysis and business summaries

  • HR analytics and employee performance dashboards

  • E-commerce sales and product performance analysis

  • Power BI interactive business intelligence dashboards

  • Tableau-based visualization and reporting projects

  • End-to-end projects combining multiple analytics tools

  • Project documentation, presentation, and insight reporting

Resume & Interview Prep

Prepare for entry-level opportunities by learning how to communicate your technical abilities, explain your analytical projects, and present your experience professionally. This module focuses on interview preparation and practical exercises designed around common Data Analyst responsibilities.

You will learn how to organize a skills-based resume, document projects, answer technical questions, and approach business case studies logically. Career guidance can help you identify suitable roles and plan your next learning steps.

Topics Covered:

  • Creating a professional Data Analyst resume

  • Highlighting Excel, SQL, Python, and BI skills

  • Preparing a project portfolio and project summaries

  • SQL query-writing and technical interview practice

  • Excel formulas and analytical problem-solving questions

  • Python and Pandas interview fundamentals

  • Power BI, Tableau, and dashboard-related questions

  • Data interpretation and business case studies

  • Explaining projects and presenting analytical findings

  • HR interview and communication practice

  • LinkedIn profile and professional presentation

  • Job search strategies and career planning

  • Introduction to Data Analyst and Business Intelligence career paths

CERTIFICATION COURSES

Select the Right Certification Course

Choose the right AI-powered data analytics certification based on your career goals, learning depth, and budget.

Most Popular

ANALYTICS EDGE WITH AI

Build a competitive edge with AI-powered data analytics, hands-on projects, real-world datasets, industry tools, and practical training designed to prepare you for in-demand analytics roles.

50+ Modules 140+ Hrs Training Placement Assistance Live Q&A Assignments Tools Training
₹25,000

EMI available

AI-Powered Analytics and Insights Mastery

Master data analytics with AI-driven insights, data visualization, statistical analysis, and hands-on training using industry tools to turn complex data into actionable business decisions.

50+ Modules 140+ Hrs Training Placement Assistance Live Q&A Assignments Tools Training
₹35,000

EMI available

Customized Data Analytics Program

Learn SQL, Advanced Excel, Python, Power BI, and Tableau through practical assignments, live projects, and industry-focused training tailored to your career goals.

50+ Modules 140+ Hrs Training Placement Assistance Live Q&A Assignments Tools Training
As per modules selected

Flexible pricing

COURSES

Select the Right Certification Course

Clear plans help students decide faster.

Master Program

ANALYTICS EDGE WITH AI

  • Introduction to Data Analytics
  • Advanced Excel & Business Functions
  • SQL Fundamentals and Database Concepts
  • Data Visualization Essentials
  • Business Reports and KPI Analysis
  • Practical Projects and Assignments
  • Introduction to AI Tools and Automation
  • Internship Certificate, if included
  • Career Guidance and Placement Assistance
Advanced Program

AI-Powered Analytics and Insights Mastery

  • Advanced Excel for Data Analysis
  • SQL Queries, Joins and Advanced Functions
  • Python Programming for Analytics
  • Power BI Reports and Dashboard Creation
  • Tableau Data Visualization
  • Live Projects and Practical Assignments
  • AI-Assisted Reporting and Automation
  • Generative AI Tools and Analytics Workflows
  • Internship and Career Support, where offered
Customized Program

Customized Data Analytics Program

  • Customized Learning Roadmap
  • Excel, SQL, Python and Power BI Training
  • Tableau and Dashboard Development
  • AI Tools for Productivity and Automation
  • Training Based on Your Skill Level
  • Project-Based Practical Learning
  • Business Data Analysis Exercises
  • Resume and Interview Preparation
  • Career Guidance and Learning Support
SYLLABUS

Explore Our 6-Month Data Analytics Course in Pitampura, Delhi

A detailed curriculum gives confidence before enquiry.

MONTH 1

Build a strong foundation in data analysis by learning advanced Excel, data collection, data cleaning, and basic statistics. Understand how businesses organize information, analyze trends, and create meaningful reports using spreadsheet functions and visualization techniques.

Month 2

Learn how to retrieve, filter, and manage business data using SQL. Practice writing queries, joining multiple tables, applying aggregate functions, and organizing information to solve real-world data analysis problems.

MONTH 3

Master Power BI fundamentals to transform raw datasets into interactive reports and professional dashboards. Learn Power Query, data modeling, relationships, DAX basics, KPI tracking, and effective data visualization for business decision-making.

 

MONTH 4

Develop Python programming skills for efficient data processing and analysis. Explore NumPy, Pandas, data cleaning, data transformation, exploratory data analysis (EDA), and visualization techniques to uncover useful patterns from datasets.

MONTH 5

Explore the fundamentals of machine learning and understand how data can be used to identify patterns and make predictions. Learn regression, classification, clustering, feature preparation, and basic model evaluation through practical examples.

MONTH 6

Apply your learning through comprehensive analytics projects using Excel, SQL, Python, and Power BI. Build a portfolio, practice presenting business insights, strengthen your resume, and prepare for technical interviews and entry-level data analytics opportunities.

 

TOOLS

30+ Data Analytics Tools & Technologies You'll Explore

Discover the essential tools used by modern data analysts to transform raw data into actionable business insights. Get familiar with industry-relevant technologies for data analysis, visualization, reporting, automation, and predictive analytics.

THE SMARTER CHOICE

Why Choose Our Data Analytics Course in Pitampura?

Learn practical data analytics skills through a career-focused training approach designed to help you understand real business problems and work confidently with data.

Feature Other Institutes DSSD
AI Training ×No ✔Yes
Live Projects ×Limited ✔Real-Time Projects
Placements ×Average ✔100% Assistance
Certifications ×Basic ✔Industry Recognized
Support ×Limited ✔Dedicated Mentorship
Classes ×Fixed ✔Flexible Batches
Practical Learning ×Theory Based ✔Hands-On Training
Career Growth ×Slow ✔Job-Ready Skills
HOW IT WORKS

Your Learning Journey at DSSD

Make the process simple and predictable

1
Book free demo class
Step-by-step support so beginners do not feel confused.
2
Join classroom training
Step-by-step support so beginners do not feel confused.
3
Learn with Hands-on Practice
Work on real tasks and tools to build strong practical skills.
4
Practice on Live Projects
Apply your knowledge on real campaigns and industry projects.
5
Build Your Portfolio
Create a strong portfolio to showcase your skills to employers.
6
Get Internship & Placement Support
Receive career guidance, internship opportunities, and job assistance.
PLACEMENT

Turn Your Data Analytics Skills into Career Opportunities

Get ready to take the next step in your professional journey with career-focused guidance alongside your Data Analytics training in Pitampura, Delhi. Develop practical skills, prepare for interviews, and showcase your analytical abilities through projects and a professional portfolio.

Resume Building

Interview Prep

Mock Interviews

Job Updates

Internship Help

Portfolio Review

Placement Highlight

Build Your Portfolio. Showcase Your Skills. Prepare for Opportunities.

Work on practical assignments and develop projects using Excel, SQL, Python, and Power BI. Learn to explain your analysis, present meaningful insights, and demonstrate your capabilities to potential employers.

UPCOMING BATCHES

Join Our Data Analytics Course in Pitampura

Take the next step toward your data analytics career with practical, industry-oriented training in Pitampura. Learn Excel, SQL, Python, Power BI, and AI-powered analytics through structured classes, hands-on assignments, and project-based learning.

Batch Training Next Batch Duration FEES ACTION
Weekday Batch
130 Hrs Training + 10 Hrs Backup Classes
07th Oct 2026 Tuesday to Friday 03:00pm – 04:30pm
20 Weeks
Program Fee: INR 35,000/- EMI available
Weekday Batch
130 Hrs Training + 10 Hrs Backup Classes
13th Sep 2026 Saturday & Sunday 1:30pm – 03:00pm
20 Weeks
Program Fee: INR 35,000/- EMI available
Weekday Batch
130 Hrs Training + 10 Hrs Backup Classes
8th Sep 2026 Tuesday to Friday 10:00am – 11:30am
20 Weeks
Program Fee: INR 35,000/- EMI available

Limited Seats Available. Enquire now and get complete details about the AI-Powered Data Analytics Course in Pitampura

LIFE AT DSSD

Students’ Happy Faces

A glimpse of learning, achievements and celebrations at DSSD.

PROOF

Trusted by Students, Proven by Results

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Shweta profile picture
Shweta
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DSSD Institution is one of the best places for digital marketing in Pitampura. I joined with very basic knowledge, but now I feel confident handling real projects. Chetaney Khatter sir is an amazing teacher who explains every concept in depth. His guidance helped me improve my practical skills. The institute focuses more on hands-on training rather than just theory. Overall, it’s a great learning experience.
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Chat profile picture
Chat
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
I searched Just Dial for digital marketing courses near Rohini. I went to DSSD Institute because it had great reviews. I looked at 2 or 3 other schools, but after meeting the teachers and seeing how the classes were set up, I understood why people say DSSD is the best digital marketing ins institute Rohini. Their new curriculum was what impressed me the most. They teach tools and strategies that are actually used in the industry right now. Nothing is old. The placement support was the best part. The team is very dedicated to helping students find jobs. I got a job with a good agency and I'm very happy with my profile.
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Deepanshu 1
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One of my college friends joined DSSD Institute in Rohini and would not stop talking about how good it was. I was working a boring job and wanted to switch careers. Did some research myself on Google and found that people are genuinely calling DSSD the best digital marketing institute in Rohini. So I visited and after one demo class I was fully convinced. The way they teach here is very different. Everything is hands on. You actually work on real ad accounts, real analytics dashboards, real SEO tools. No fake screenshots or theory only classes.
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Deepanshu profile picture
Deepanshu
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My cousin did a course from DSSD last year and kept telling me to join. I was hesitant so I did my own research and asked ChatGPT about best digital marketing institute in Rohini. DSSD name came up and that finally convinced me to visit for a demo class. Absolutely no regrets. Course is very well structured and trainers teach with full dedication. Live campaign work during training was the highlight for me. By end of course I was already confident enough to handle real clients. Placement team is very proactive. They connected me with multiple companies and I got a great offer. Salary was better than I expected for a fresher.
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Gamer1234
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While searching for a digital marketing course in Rohini, I found DSSD Digital Marketing Institute. It's a good place to start learning digital marketing.
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Ashish Sahu
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I was searching for a digital marketing course in Rohini and found DSSD Digital Marketing Institute. The classes are clear and easy to follow.
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mayank singh
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
I was searching on ChatGPT about best digital marketing institute in Rohini and DSSD Institute came up. I just went and checked it out and honestly it was a great decision. The course was really good. They teach everything practically like SEO, Google Ads, Meta Ads, Social Media Marketing and all. Teachers are very helpful and they explain everything with real examples so it never felt boring. After completing the course their placement team helped me a lot. They prepared my resume, took mock interviews and connected me with companies. I got placed in a really good company which I didn't expect so quickly. If you are from Rohini or nearby area and want to learn digital marketing then DSSD Institute is the best option. Totally worth it. No regrets at all.
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Rani profile picture
Rani
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
I was searching for a digital marketing course in Rohini and ended up joining DSSD Digital Marketing Institute. The classes are quite practical and easy to follow.
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Hemant
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
Joined DSSD Digital Marketing Institute while searching for a digital marketing course in Rohini. So far, the experience has been positive and easy to follow.
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TRAINERS

Meet Our Industry Expert Trainers

Learn from industry experts across Digital Marketing, SEO, Data Science, and Machine Learning.
Gain practical insights and real-world skills from professionals with hands-on experience.

DSSD Institute — Training Location

1st Floor, H-17/253, opposite Metro Pillar Number 423,
near Rohini West Metro Station, New Delhi 110085

📞 +91 9811128610
📍 Near Rohini West Metro Station
⏱ Mon–Sat: 8:30am–7:30pm
📍 View on Google Maps

Start your digital marketing journey and level up your skills.

Join Pitampura’s most trusted AI-powered digital marketing institute — limited seats per batch.

Have Questions? We Have Answers

What does the Data Analytics Course in Pitampura cover?

Our Data Analytics Course in Pitampura, Delhi, covers essential tools and techniques used in modern data analysis. You will learn Microsoft Excel, SQL, Python, Power BI, Tableau, statistics, data cleaning, and data visualization. The curriculum also focuses on business reporting, dashboard creation, and practical projects to help you understand how organizations use data to make informed decisions.

 
What is the fee for the Data Analytics Course?

The fee for the Data Analytics Course depends on the selected program, curriculum, and duration. Available payment options and EMI facilities may vary. Contact us to get the latest course fee details, understand the modules included, and choose a Data Analytics Course that matches your learning goals and budget.

 
How long does the Data Analytics Course take to complete?

The duration of the Data Analytics Course depends on the selected program and batch schedule. The course covers important topics such as Excel, SQL, Python, Power BI, and data visualization through structured lessons, practical exercises, and projects. Contact us to confirm the current course duration, class timings, and available weekday or weekend batches in Pitampura.

How can I enroll in the Data Analytics Course in Pitampura?

Enrolling in our Data Analytics Course is simple. Contact us to request the complete syllabus, check upcoming batches, and learn about course fees and class timings. You can explore the curriculum, understand the learning process, and choose a suitable batch according to your schedule before completing the enrollment process.

 
Are there any prerequisites for joining the Data Analytics Course?

No advanced programming knowledge is necessarily required to begin a beginner-level Data Analytics Course. Basic computer knowledge and an interest in working with data are helpful. You can gradually develop your skills in Excel, SQL, Python, and data visualization through structured learning and regular practice. The course can be suitable for students, graduates, beginners, and working professionals.

 
 
 
 
 
How will the Data Analytics Course help me improve my skills?

The Data Analytics Course helps you develop technical, analytical, and problem-solving skills through practical exercises and project-based learning. You will learn how to analyze datasets, write SQL queries, work with Python, and create interactive Power BI dashboards. These skills can help you prepare for career opportunities such as Data Analyst, MIS Analyst, Reporting Analyst, and Business Intelligence Analyst, depending on your qualifications and experience.

 

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