Are you the one who is searching for the Data Analyst Course in Delhi with Placement Assistance & a Beginner to advanced Data Analyst course? If yes, then you are at the right place. Here, we will discover the courses that can offer you placement assistance, also.

Moreover, we will ensure that you get a Job-ready Data Analyst program while we talk about it. We will introduce you to a reputed training institute offering a dedicated course. What are we waiting for? Let’s get straight to the topic!

Who is a Data Analyst?

A data analyst is a specialist who gathers, cleans, and analyzes big data to assist businesses in resolving certain issues and making wise choices. They convert raw data into scannable reports and dashboards that highlight important trends, anomalies, and performance metrics using technological tools like SQL, Python, and Power BI.

Who is a Data Analyst?

Their main responsibility is to provide clear, data-driven insights that improve business operations and increase overall efficiency, bridging the gap between complex data and strategic action. Let’s find out more about the Data Analyst Course in Delhi with Placement Assistance!

Key Skills You’ll Learn in Our Data Analyst Program

You will learn the following skills in our Data Analyst Program:

Advanced SQL & Database Management: Mastering multi-table joins, window functions (such as RANK and LEAD), and performance tuning for large cloud databases, going beyond simple queries.
Python for Data Science: Using libraries such as Matplotlib/Seaborn for simple statistical graphing, NumPy for numerical calculation, and Pandas for data management.
AI-Powered Analytics & Prompt Engineering: Learning how to automate code creation, summarize intricate reports, and provide complex data prompts using GenAI technologies (such as ChatGPT or Claude).
Data Visualization & Storytelling: Developing interactive, real-time dashboards that convert raw data into an engaging visual story for stakeholders requires mastery of Tableau or Power BI.
Statistical Analysis & Hypothesis Testing: Utilizing mathematical ideas such as regression analysis, A/B testing, and probability distributions to make sure your findings are statistically significant.
Data Wrangling & Cleaning: The crucial ability to "pre-process," which includes handling missing numbers, spotting outliers, and turning "messy" raw data into a format that is suitable for analysis.
Basics of Machine Learning: Comprehending fundamental predictive models, such as Clustering, Decision Trees, and Linear Regression, can assist companies in predicting future trends.
Big Data & Cloud Technologies: Gaining practical experience analyzing datasets too big for a single machine using cloud services like Google Cloud (BigQuery) or AWS (Redshift).
Business Acumen & Domain Knowledge: Understanding industry-specific KPIs (Key Performance Indicators) in fields like finance, retail, or healthcare will help you ask the "right" questions.
Critical Thinking & Ethical Data Handling: Using a critical mentality to identify biases in the data and making sure that the analysis conforms with ethical AI principles and 2026 privacy requirements.

Top Data Analyst institutes in Delhi

S.No.	Institutes	What?
1.	Craw Security - 1 Year Cyber Security Diploma Course Powered by AI	IT aspirants who wish to work as professional data analysts are the target audience for this specialized training.
2.	IIT Delhi - Certificate Programme in Applied Data Science and AI	A top-notch 24-week online course for working professionals that covers everything from model deployment using Docker and MLOps to Python foundations.
3.	AnalytixLabs - Data Analytics Course with Gen AI	This program, which is well-known for its "Job-Ready" emphasis, offers a hybrid learning methodology and a dedicated 6–8 week Placement Readiness Program with no upfront placement support costs.
4.	IIIT Delhi - PG Diploma in Data Science & AI	A demanding nine-month curriculum with over 450 hours of instruction with a focus on deep learning and business intelligence, offered in partnership with IBM.
5.	Techstack Academy - Data Analytics and Power BI Program	A thorough 6-month program that focuses on real-time dashboarding in Tableau, advanced data manipulation with Pandas, and dual certificates accepted around the world.

Why Choose Our Data Analyst Course in Delhi?

You should choose our data analyst course in Delhi for the following reasons:

Why Choose Our Data Analyst Course in Delhi

● Interactive Sessions: Here, we offer interactive sessions where students can freely clear their doubts with the trainer and learn the fundamentals faster.

● Virtual Labs: Students will be able to get facilitated with virtual labs that can offer real-life working experience under the supervision of professionals.

● Online Mode: Students who are outside of Delhi can also go for the online mode of this course. This will elevate their standard of studying from a remote location.

● Job Placement: We are offering 100% Job Placement Assistance to students so that they can get huge working opportunities in the IT Industry after completing their certification.

● Certification: After completing the training & examination, students will receive a dedicated certificate validating their skills & technical knowledge.

Online and offline Data Analyst course

Several institutes only offer offline training sessions; thus, students living far from those places couldn’t get the opportunity to learn such skills and knowledge with ease or without getting a place at their location.

Thus, Craw Security’s online training mode actually helps students to learn skills even if they are not in the same country, with the resources available only for offline learners, because we also provide the resources by mail and other ways. Thus, contacting Craw Security is beneficial for learners globally.

Data Analysis tools and techniques

S.No.	Tools & Techs	What?
1.	Microsoft Power BI & Tableau (AI-Integrated)	These top BI tools now come with built-in "Copilots" that let you use natural language prompts to create complex DAX calculations and whole dashboards.
2.	Python (with Polars & Pandas)	Because of its excellent memory management, Polars has emerged as the preferred library in 2026 for processing enormous datasets (billions of rows) at breakneck speed, even though Pandas is still the industry standard.
3.	Modern SQL (Snowflake & BigQuery)	In addition to being crucial for querying "Data Lakes," cloud-native SQL platforms now have built-in machine learning features that enable you to run models from within your database.
4.	Generative AI Assistants (Claude & ChatGPT)	These tools, which are used as "pair-analysts," assist in writing SQL queries, debugging Python scripts, and condensing lengthy technical reports into executive summaries.
5.	AutoML Platforms (H2O.ai & PyCaret)	By automating the tedious aspects of machine learning, these tools enable analysts who are not proficient in deep learning to create predictive models, such as sales projections.
6.	Descriptive & Diagnostic Analytics	Finding what occurred (such as a 10% decline in sales) and the reasons behind it, utilizing data drilling and root-cause analysis, is the basis of analysis.
7.	Predictive & Prescriptive Modeling	Predicting future trends using historical data (predictive) and recommending the precise optimal course of action to accomplish a goal (prescriptive).
8.	Exploratory Data Analysis (EDA)	Before formal modeling starts, you can "interview" the data using heatmaps, scatter plots, and histograms to find hidden trends or outliers.
9.	Sentiment & Text Analysis	To measure "brand mood" and customer happiness, NLP (Natural Language Processing) is used to examine customer evaluations, social media mentions, and support tickets.
10.	Real-Time Streaming Analytics	An essential 2026 talent is the ability to assess data as it is created, such as real-time stock prices or website traffic, to enable quick, automated business decisions.

How to Apply for the Data Analyst Program with Placement Assistance?

You can apply for the Data Analyst Program with placement assistance in the following ways:

a) Submit Application and Skill Assessment: To complete a "Placement Eligibility Test," which usually assesses your basic logical reasoning, quantitative aptitude, and foundational mathematics, visit the institute's homepage.

b) Complete the 1-on-1 Career Counseling: To confirm their commitment and make sure the program fits with their particular career aspirations, shortlisted candidates must go through a technical interview or counseling session with an industry mentor.

c) Secure Enrollment and Pre-Work: After being accepted, pay the ₹50,000 to ₹2,50,000 entry fee and finish the required "Pre-Work" modules (which often teach the fundamentals of Python and SQL) before the main batch begins.

d) Participate in Placement Readiness Modules: In addition to the technical curriculum, you are required to participate in workshops on LinkedIn optimization, resume creation, and mock interviews led by hiring managers from prestigious companies.

e) Unlock the Placement Portal: You get special access to the institute's career portal and monthly hiring drives with more than 500 partner organizations after passing the midterm and capstone projects with a minimum required score (typically 70% or higher).

Career Opportunities After Completing the Data Analyst Course

S.No.	Job Profiles	What?
1.	Junior Data Analyst	The typical entry-level position where your main responsibilities are routine report creation, basic SQL queries, and data cleansing.
2.	Business Intelligence (BI) Analyst	With a focus on data storytelling, you will create real-time dashboards with Tableau or Power BI to assist executives in monitoring business KPIs.
3.	Marketing Analyst	Studying consumer behavior, campaign performance, and market trends to assist firms in making the most of their advertising budget.
4.	Financial Data Analyst	Collaborating to identify fraud, control risks, and project income with banks and fintech companies like Paytm or Razorpay.
5.	Operations Analyst	With an emphasis on internal efficiency, you will examine internal workflows or supply chain data to save expenses and boost output.
6.	Healthcare Data Analyst	Hospitals can enhance patient care and operational administration by utilizing clinical trial records and patient data.
7.	Data Visualization Engineer	A specialist position that is only concerned with producing intricate, powerful visual data representations for executive decision-making.
8.	Data Research Analyst	Collecting and analyzing data for in-depth industry reports or scientific studies when working in market research or academia.
9.	Product Analyst	Working together with product teams to evaluate user interaction data and recommend features that enhance user experience and retention.
10.	Transition to Data Scientist/ Data Engineer	Analysts frequently advance to become Data Scientists (focused on predictive modeling) or Data Engineers (working on data pipelines) after two to three years of experience.

Conclusion

Now that we have talked about the Data Analyst Course in Delhi with Placement Assistance, you might be searching for Data Analyst training in Delhi with a reliable institute. For that, you can get in contact with Craw Security, offering the 1 Year Cyber Security Diploma Course Powered by AI to IT Aspirants.

Craw Security offers Flexible Learning Options for the Data Analyst Course in Delhi, which means students can learn the skills & techniques remotely and do their personal tasks in the meantime.

After the completion of the AI-Powered Cyber Security Diploma Course offered by Craw Security, students will get a Data Analytics Professional Certification in Delhi, validating their honed knowledge & skills during the sessions. What are you waiting for? Contact, Now!

Frequently Asked Questions

About the Data Analyst Course in Delhi

Which course is best for a data analyst?

The 1 Year Cyber Security Diploma Course Powered by AI offered by Craw Security is one of the best courses for data analysts.

Which Institute is best for data analytics in Delhi?

Craw Security is one of the best institutes for data analytics in Delhi for students who want to make a career in the IT Industry.

What is the salary of a data analyst in Delhi NCR?

Depending on the industry and level of technical skill, entry-level data analysts in Delhi NCR typically earn between ₹5.5 and ₹9 LPA, while senior analysts and leaders command between ₹18 and ₹35 LPA.

Can I become a data analyst in 2 months?

If you adhere to a rigorous, full-time study schedule (40+ hours per week) and concentrate solely on high-impact technologies like SQL, Power BI, and Excel, you can become a data analyst in two months.

However, landing a job typically requires an extra one to three months of portfolio building and applications.

Does TCS hire data analysts?

Yes, TCS regularly recruits Data Analysts through specific recruitment campaigns such as TCS Atlas Hiring for M.Sc. and MA graduates and TCS Smart Hiring for B.Sc. and BCA graduates. In 2026, the average salary for new hires will be between ₹4.5 and ₹6 LPA.

Which 3-month course is best?

The Google Data Analytics Professional Certificate is the industry standard for speed and affordability for beginners, while Techstack's 3-month AI & ML Program in Delhi is the best option for tech-savvy learners for practical projects and local placement support. The ideal 3-month course will depend on your background.

Is a data analyst an IT job?

A data analyst is really a multidisciplinary business position that lies at the nexus of information technology (IT) and strategic decision-making, even if the position requires advanced technical tools like SQL and Python.

What are the 4 types of data analysis?

The following are the 4 types of data analysis:

a) Descriptive Analytics (What happened?),

b) Diagnostic Analytics (Why did it happen?),

c) Predictive Analytics (What is likely to happen?), and

d) Prescriptive Analytics (What should we do?).

What are the top 3 skills for a data analyst?

The following are the top 3 skills for a data analyst:

a) Advanced SQL & Database Mastery,

b) Data Visualization & Storytelling, and

c) AI-Augmented Programming (Python/R).

Will AI replace data analysts?

Industry experts agree that while AI won't replace data analysts, analysts who use it will take the place of those who don't, as the profession moves from manual data cleansing to high-level strategic oversight and "agent orchestration."

What are the 7 steps of data analysis?

The following are the 7 steps of data analysis:

a) Define the Objective (The "Why"),

b) Data Collection (The "What"),

c) Data Cleaning & Preparation (The "Scrub"),

d) Exploratory Data Analysis (EDA),

e) Data Modeling & Analysis,

f) Interpretation of Results, and

g) Data Storytelling & Communication.

Is a data analyst a stressful job?

Due to strict deadlines, high-stakes accuracy requirements, and the demand for ongoing skill development, a data analyst position can be somewhat stressful, but it is frequently regarded as more fulfilling and balanced than many other high-paying professional occupations.

Data Analyst Course in Delhi with Placement Assistance

Latest Posts