Campus · Delhi NCR · Big Data
Uncodemy Delhi NCR Campus: Big Data Course Details Inside
Quick summary — Uncodemy Delhi NCR Big Data course
The Uncodemy Delhi NCR campus Big Data course is designed for students and working professionals who want hands-on skills in Hadoop, Spark, streaming, and cloud data platforms — with real projects and placement support.
In this guide you will learn:
- Campus details — location, batches, and facilities in Delhi NCR.
- Full curriculum — from Hadoop and Spark to streaming and cloud.
- Projects — the real pipelines you build during the course.
- Fees and duration — transparent cost breakdown.
- Placement support — what is included and what to expect.
SECTION 01Campus and batch details
The Uncodemy Delhi NCR campus serves students across Delhi, Noida, and Gurugram. Here are the key details for the Big Data course:
| Detail | Information |
|---|---|
| Location | Delhi NCR — Laxmi Nagar (Delhi) and Noida campus |
| Mode | Classroom + online (hybrid) |
| Batch options | Weekday batches and weekend batches |
| Duration | 6 months (weekday) or 8-9 months (weekend) |
| Class size | Small batches for 1:1 mentor attention |
| Prerequisites | Basic programming and SQL — no prior Big Data experience needed |
| Lab access | Cloud lab credits included for hands-on projects |
SECTION 02Full course curriculum
The Big Data course is structured in four modules — from foundational Hadoop to real-time streaming and cloud-native pipelines:
| Module | Topics Covered | Tools |
|---|---|---|
| Module 1 — Big Data Foundations | Distributed systems, HDFS, MapReduce, YARN, Hive | Hadoop, Hive, HDFS |
| Module 2 — Spark & Data Processing | RDDs, DataFrames, Spark SQL, PySpark, optimization | Apache Spark, PySpark |
| Module 3 — Streaming & Real-time | Kafka basics, Spark Streaming, event-driven pipelines | Kafka, Spark Streaming |
| Module 4 — Cloud Data Platforms | AWS EMR, Glue, Databricks, Snowflake basics | AWS, Databricks, Snowflake |
| Capstone | End-to-end pipeline with ingestion, processing, and serving | All of the above |
# PySpark: read, transform, aggregate
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, sum as _sum
spark = SparkSession.builder.appName("BigDataCourse").getOrCreate()
df = spark.read.parquet("s3://my-bucket/orders/")
result = (
df.filter(col("status") == "completed")
.groupBy("region")
.agg(_sum("revenue").alias("total_revenue"))
.orderBy(col("total_revenue").desc())
)
result.show()
result.write.mode("overwrite").parquet("s3://my-bucket/output/")-- Hive: partitioned table and aggregation
CREATE EXTERNAL TABLE orders (
order_id STRING,
customer_id STRING,
region STRING,
revenue DOUBLE,
order_date DATE
)
PARTITIONED BY (year INT, month INT)
STORED AS PARQUET
LOCATION 's3://my-bucket/orders/';
INSERT OVERWRITE TABLE monthly_revenue
SELECT
region,
year,
month,
SUM(revenue) AS total_revenue
FROM orders
GROUP BY region, year, month;SECTION 03Hands-on projects you build
The strongest part of the course is the projects. Here is what you actually build during the program:
- Retail sales pipeline — ingest raw CSVs, clean with Spark, and produce aggregated reports in Hive.
- Streaming clickstream — Kafka producer + Spark Streaming to process real-time events and store aggregates.
- Cloud data lakehouse — ETL pipeline on AWS using EMR and Glue, with output in Parquet for analytics.
- Capstone project — end-to-end pipeline with ingestion, transformation, and serving, deployed on cloud.
SECTION 04Fees and duration
Here is a transparent fee breakdown for the Big Data course at the Uncodemy Delhi NCR campus:
| Item | Details |
|---|---|
| Course fee | ₹15,500 (full program) |
| Included | Classroom sessions, cloud lab credits, project reviews, placement support |
| EMI option | Available in 3 or 6 installments |
| Refund policy | Refund available within first 7 days of enrollment |
| Certification | Uncodemy course completion certificate |
SECTION 05Placement support and outcomes
Placement support at the Delhi NCR campus includes both technical and career preparation. Here is what is actually included:
| Support | What It Covers |
|---|---|
| Resume rebuild | Project-focused resume tailored to Big Data roles |
| Mock interviews | 1:1 technical and behavioral mock interviews |
| Portfolio review | GitHub portfolio review and improvement suggestions |
| Hiring partner referrals | Referrals to 14+ hiring partners in Delhi NCR |
| Alumni network | Access to alumni working in Big Data and data engineering |
SECTION 06Interview Q&A — Uncodemy Big Data course
Q1Who is this Big Data course designed for?
Students (BCA, B.Tech, MCA), working professionals looking to upskill, and career changers with basic programming and SQL. No prior Big Data experience is needed.
Q2Do I need to know Python before joining?
Basic Python helps, but the course covers Python for data processing early on. If you are completely new, plan for a few weeks of self-study before the course starts.
Q3Is the course fully classroom or online?
Both — the Delhi NCR campus offers hybrid mode. You can attend live classroom sessions and also access recordings. Weekend batches are available for working professionals.
Q4What roles can I target after the course?
Big Data Engineer, Data Engineer, ETL Developer, and Analytics Engineer are the most common entry points. The Hadoop + Spark + cloud stack maps directly to these roles.
Q5Is placement guaranteed?
No institute can guarantee a job. The course includes placement support — resume rebuilds, mock interviews, and hiring partner referrals — but outcomes depend heavily on your projects and interview preparation.
SECTION 07Test yourself — Uncodemy Big Data course
Five questions. No sign-up.
0 / 5Pick an answer to see why it is right or wrong.
1. Which of these is covered in the Uncodemy Big Data course curriculum?
The curriculum covers Hadoop, Spark, streaming (Kafka), and cloud data platforms like AWS EMR and Databricks.
2. Where is the Uncodemy Big Data course offered?
The course is offered at the Uncodemy Delhi NCR campus in hybrid mode — classroom sessions plus online access.
3. Which tool is used for real-time streaming in the course?
Apache Kafka is used for real-time streaming, combined with Spark Streaming for processing events.
4. What is a realistic time commitment for the weekday batch?
The weekday batch runs for about 6 months; the weekend batch runs 8-9 months.
5. What is the strongest evidence of Big Data skills to an employer?
Real projects on GitHub using Hadoop, Spark, and cloud tools are the strongest evidence of practical Big Data skills.
SECTION 08Frequently asked questions
Is the Uncodemy Big Data course beginner-friendly?
Yes — the course starts with Big Data foundations and gradually moves to Spark, streaming, and cloud. Basic programming and SQL knowledge is expected, but no prior Big Data experience is required.
How long does the course take?
The weekday batch runs for about 6 months; the weekend batch runs 8-9 months. Both include classroom sessions, hands-on labs, and project reviews.
What is the fee and are there EMI options?
The full program fee is ₹15,500 (discounted from ₹24,000). EMI options are available in 3 or 6 installments. Cloud lab credits are included in the fee.
Do I get a certificate?
Yes — you receive an Uncodemy course completion certificate. Certification is useful for your resume, but hiring managers weight real projects more heavily than certificates.
What roles can I apply for after the course?
Big Data Engineer, Data Engineer, ETL Developer, and Analytics Engineer are the most common entry points. The Hadoop + Spark + cloud stack maps directly to these roles in Delhi NCR's job market.
SECTION 09Related reads
Classroom & online · Delhi NCR
Big Data Course at Uncodemy Delhi NCR
Our Big Data Training Course covers Hadoop, Spark, streaming, and cloud — with real projects and placement support at the Delhi NCR campus.
₹15,500 · full programme- Hadoop + Spark + Kafka
- Cloud data platforms
- Capstone project
- Weekday & weekend batches