Data Engineering for Beginners with Python and SQL
What you'll learn
- Python Fundamentals
- Variables, data types, and operators
- Control flow (if statements, loops, etc...)
- SQL Queries
- Working with JSON and CSV data
- Reading and writing files
- Using libraries like requests to make HTTP requests
- How to build functions and think like engineers
- Data Cleaning and Transformation
- Database Fundamentals (PostgreSQL)
- Creating and managing databases and tables
- Introduction to Postman
- Testing RESTful APIs
- Understanding what an API is
- Retrieving data from an API
Requirements
- No prerequisites except high motivation!
Description
Are you ready to embark on a journey into the world of data engineering? Welcome to "Data Engineering for Beginners with Python and SQL" – the course that will empower you to build a strong foundation in data engineering, regardless of your prior experience.
In today's data-driven world, the demand for skilled data engineers is soaring, and this course is designed to help you seize the opportunities this field has to offer. Whether you're an aspiring data professional, a business analyst, or simply curious about the intricacies of data processing, this course is your gateway to acquiring the essential skills.
What You'll Learn:
SQL Mastery: Dive headfirst into SQL (Structured Query Language), the cornerstone of data management. You'll learn how to manipulate and query data effectively, ensuring you have a solid grasp of this fundamental skill.
Python: Explore the power of Python for data engineering and not only. We'll cover the basics and take you on a journey through Python possibilities.
ETL (Extract, Transform, Load) Processes: Gain insights into ETL processes, a critical component of data engineering. Discover how to efficiently extract data from various sources, transform it to meet your needs, and load it into target systems.
Course Highlights:
Materials and Exercises: This course focuses on practical learning. We believe in the "learn by doing" philosophy, so you'll find a wealth of materials and hands-on exercises to reinforce your knowledge.
Comprehensive Resources: Access a comprehensive collection of resources, including coding examples and reference materials to aid your learning journey.
Minimal Video, Maximum Learning: We understand the value of your time. While there will be instructional videos, engaging exercises and resources will be emphasized, allowing you to learn at your own pace.
Important: In this engineering course, it's all about how you think and problem-solve. Instead of just watching videos and copying them, the focus is on finding the right information and using it to tackle tasks. Learning how to think is a crucial part of the process. Feel free to ask questions under each exercise or message the instructor directly. Expect a response within 24 hours.
Who this course is for:
- Aspiring Data Engineers
- Data Enthusiasts
- Programming Novices
- SQL Beginners
- Career Switchers
- Students and Recent Graduates
- Business Analysts
- Entrepreneurs and Start-up Founders
- Self-Learners
- Professionals Seeking Data Skills
Instructor
- 4.4 Instructor Rating
- 1,262 Reviews
- 11,974 Students
- 4 Courses
I specialize in designing, building, and maintaining scalable data pipelines that enable organizations to extract insights from their data. With a strong background in data architecture, database design, and ETL processes, I am well-versed in a variety of technologies and tools, including Spark, SQL, Azure, AWS, GCloud, and more.
Throughout my career, I have successfully collaborated with cross-functional teams to develop data-driven solutions that support critical business initiatives. Whether it's optimizing data warehouses for faster query performance or automating data quality checks to ensure accuracy and completeness, I am committed to delivering high-quality, reliable data products that drive better decision-making.
I am passionate about staying up-to-date with the latest trends and best practices in data engineering and enjoy sharing my knowledge through blog posts, conference talks, and mentorship. In my free time, I enjoy exploring new technologies and experimenting with personal projects that challenge me to expand my skills and knowledge.