ETL pipelines, data warehouses, big data tools and cloud data processing.
ETL pipelines, data warehouses, big data tools and cloud data processing.
Learn from experienced trainers who guide you step by step, from the basics to real projects.
Build hands-on projects based on real-world use cases to apply what you learn and strengthen your portfolio.
Get help with resume building, interview preparation and job search so you are ready for the job market.
Get an opportunity to gain practical, hands-on experience through an internship after the course.
Receive a certificate on completing the course to showcase your skills to employers.
Take part in a face-to-face interview with industry experts to get feedback and build confidence for real interviews.
Every dashboard and machine learning model depends on reliable data. In this course you will learn how data engineers collect data from many sources, clean and transform it, store it in warehouses, and process it at scale with big data tools and cloud services. The course ends with real-world data pipeline projects.
Python
SQL
PySpark
Apache Airflow
Hadoop / Hive
Data Warehouse
Cloud Storage
GitHubExtract sales data from files and APIs, clean it with Python and load it into a database.
What you will do
Skills you will use
A working pipeline that takes raw sales data and loads clean data into a database.
Design a star schema and answer business questions with analytical SQL queries.
What you will do
Skills you will use
A designed warehouse with analytical queries that answer real business questions.
Process large log or transaction datasets with PySpark and summarise the results.
What you will do
Skills you will use
A Spark job that processes a large dataset and a clear summary of the results.
Build and schedule an automated pipeline on the cloud, from raw data to reports, then present your results.
What you will do
Skills you will use
An automated, scheduled cloud pipeline from raw data to reports, presented to an audience.
Start your Data and AI journey with Python, Statistics, SQL and machine learning.
Real data pipeline projects and a certificate that help you stand out in campus and off-campus interviews.
A smooth step from the basics to building reliable data pipelines.
The skills to design, automate and run data pipelines on the cloud.
The ability to take your database experience to big data tools and cloud data processing.
Prepare to take your skills into the job market through:
Knowing Python basics is a plus (variables, loops, functions and data types), along with SQL basics such as SELECT, WHERE, JOIN and GROUP BY. Basic Pandas is helpful. If you are new to Python, start with Course 1: Python for Data Science & Machine Learning.
Degree freshers (BCA, BSc CS, BE/BTech, MCA, MSc CS, MTech), Beginner Track students ready for the next level, working professionals moving into data engineering roles, and developers and database professionals who want to work with big data.
Three months, planned as a 12-week roadmap from ETL and SQL foundations to cloud pipelines and a capstone project.
Python, SQL, PySpark, Apache Airflow, Hadoop and Hive, data warehousing and cloud storage, with GitHub for your project work.
Yes. You receive a certificate on completion, and an internship opportunity is part of the program.
Visit us at 6th Level, Oberle Towers, Balmatta, Opp. Juice Junction, Mangalore, Karnataka 575001 · +91 78925 81597 · (0824) 4256456
For any queries, you can WhatsApp us at +91 78925 81597
For any queries, you can mail us at contact@lpoint.in
