Data Engineering For Beginners With Python And Sql

From Novice to Data Engineer: Master Python and SQL for Data Processing

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.

Overview

Section 1: Python Basics For Data Engineers

Lecture 1 Welcome!

Lecture 2 Getting Started

Lecture 3 Data Types

Lecture 4 Strings

Lecture 5 Integers

Lecture 6 Conditional Statements

Lecture 7 Lists

Lecture 8 Exploring Lists in Python

Lecture 9 Functions

Lecture 10 Loops

Lecture 11 Tuples

Lecture 12 Sets

Lecture 13 OOP Basics

Lecture 14 Introduction to Object-Oriented Programming (OOP)

Lecture 15 Jupyter Notebook

Lecture 16 Pandas Introduction

Section 2: SQL and Databases

Lecture 17 Install Postgres

Lecture 18 Relational Database Management Systems (RDBMS)

Lecture 19 SQL Fundamentals

Lecture 20 SELECT and WHERE

Lecture 21 WITH statement

Lecture 22 UNION and UNION ALL

Lecture 23 NoSQL Databases

Section 3: API Usage

Lecture 24 What is an API

Lecture 25 GET Request

Lecture 26 POST Request

Lecture 27 Postman

Lecture 28 Extract Data

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