Snowflake Data Engineering Course

We've upgraded this course content on 19-09-2024. Your course progress percentage might be impacted if you had enrolled before 19-09-2024

A Snowflake Data Engineer builds and manages fast, reliable, and cost-effective data pipelines on the Snowflake Data Cloud platform.
They focus on bringing data from different sources into Snowflake (ingestion), cleaning and transforming it into useful formats, and optimizing it so businesses can run fast analytics, generate reports, and power AI/ML models.
This skill is currently in very high demand, with companies actively looking to hire Snowflake engineers.
This course is specially designed to teach non-programmers Snowflake and ETL procedures in a simple and easy way.

4.9 Ratings by 300+ learners
300+ Learners
Last Updated: May 1st, 2026
English
Created by:
SriSreedhar
Course Preview
₹1,200
This course includes:
  • 16h:57m:31s on-demand videos
  • 108 Lectures
  • 9 Exercises
  • 12 Quizzes
  • Access on any Device
  • Certificate of completion

What you'll learn

Master Snowflake data engineering
Work with NumPy, Pandas, and Matplotlib libraries
Perform data cleaning and preprocessing
Create stunning data visualizations
Build machine learning models with Scikit-learn
Complete 5 real-world data science projects

Requirements

  • No prior programming experience required
  • Computer with Windows, Mac, or Linux
  • Willingness to learn and practice coding

Description

Snowflake is a cloud-based data platform that enables organizations to store, process, and analyze large volumes of data. This comprehensive course is designed to take you from a complete beginner to an advanced Snowflake data engineer with a focus on real-world applications.

Throughout this course, you'll work on two major real-world projects that will give you hands-on experience with Snowflake data engineering. The first project involves analyzing data in the hospitality domain, where you'll learn to work with real datasets and extract meaningful insights. The second project focuses on building a data warehouse solution, teaching you how to create practical applications using Snowflake.

What makes this course unique is its project-based approach. Instead of just learning syntax and concepts in isolation, you'll immediately apply what you learn to solve real problems. This approach ensures that you not only understand the theory but can also implement solutions in practice.

Key Features:
  • Comprehensive coverage from basics to advanced topics
  • Two complete real-world projects
  • Hands-on coding exercises and quizzes
  • Industry best practices and coding standards
  • Lifetime access to course materials
  • Certificate of completion

Course Content

8 sections • 108 lectures • 16h 57m total length

  • Introduction to Python
    15:30
  • Variables and Data Types
    22:45
  • Control Structures
    35:20
  • Practice Exercise 1
    Exercise
  • Python Basics Quiz
    Quiz

  • Introduction to NumPy
    25:10
  • Array Operations
    45:30

Learn to work with structured data using Pandas library for data analysis and manipulation.

Create beautiful and informative visualizations using Matplotlib and Seaborn.

Complete end-to-end data analysis project in the hospitality domain.

Instructor

SriSreedhar

Senior Data Engineer | Ex-Amazon, JPMC, Venerable, Loreal

SriSreedhar has over 14 years of experience in Business Intelligence, Data Analytics & Engineering and DataScience. He has worked at leading tech companies including Amazon, JPMC, Venerable, Loreal, where he developed large-scale cloud based data processing systems and machine learning models. He is passionate about teaching and has helped thousands of students transition into data science careers.

Experience 13 Years
Students Taught 6,000+
Course Rating
4.9
Courses 5 Courses

Student Reviews

4.9

372 reviews

5 star
85%
4 star
12%
3 star
2%
2 star
1%
1 star
0%
Reviewer
John Smith
2 weeks ago

Excellent course! Dhaval explains complex concepts in a very clear way. The hands-on projects really helped me understand the practical applications of Python in data science.

Reviewer
Emily Davis
1 month ago

Perfect for beginners! I had no programming experience and now I feel confident working with data in Python. The project-based approach is fantastic.

Reviewer
Michael Chen
3 weeks ago

The real-world projects make all the difference. I've already started applying what I learned in my current job. Highly recommended!

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Course Features
  • Duration 16h 57m
  • Level Beginner
  • Language English
  • Certificate Yes
  • Enrolled 7,297