Data Engineering for Beginners with Python and SQL from Udemy

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.

What's inside

Learning objectives

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
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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
Show more
Show less

Syllabus

In this section students will learn the basic usage of python before heading into the data engineering.

Welcome!

Course Structure

Getting Started

Data Types

Strings

Integers

Conditional Statements

Lists

Exploring Lists in Python

Functions

Find the Maximum

Basic String Manipulation

Even or Odd

Calculate the Factorial

Loops

Tuples

Sets

Find Unique Elements

Reverse a String

Calculate Sum of Digits

Check Palindrome

Fibonacci Series

Find the Nth Fibonacci Number

Check for Prime Numbers

Count Primes

Calculate Average

Count Occurrences in a List

Find the Missing Number

Find Common Elements in Two Lists

Remove Duplicates from a List

Count Occurrences of a Word

Check Balanced Parentheses

OOP Basics

Introduction to Object-Oriented Programming (OOP)

Find the Maximum Class Edition

Implement a Stack

Implement a Queue

Find The Closest Number

Find the Longest Consecutive Subsequence

Merge Sorted Lists

Jupyter Notebook

Pandas Introduction

DataFrame and Series in Pandas

Filtering in Pandas

Pandas GroupBy and Aggregation

Moving Averages in Pandas

Data Manipulation

Interview Prep: Data Manipulation (Hard)

Article: Integrating Pandas with Matplotlib

Basic understanding of databases and working with Postgres

Install Postgres

Relational Database Management Systems (RDBMS)

SQL Fundamentals

SELECT and WHERE

User Count Above 50

Order Analysis

Employee Database Query

Sales Analysis

WITH statement

Employee Salary Analysis

UNION and UNION ALL

Product Inventory Analysis

Customer Purchase Analysis

Student Grades Analysis

Product Category Analysis

Order Date Analysis

Launch Date Analysis

NoSQL Databases

Streaming Data Introduction

API Usage

What is an API

GET Request

POST Request

Postman

Extract Data

Interview Prep: ETL

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops Python skills, which are core for working with data

Focuses on practical learning with exercises and hands-on scenarios

Covers ETL processes, a critical aspect of data engineering

Provides a comprehensive study of data engineering fundamentals

Teaches problem-solving and critical thinking skills

Career center

Learners who complete Data Engineering for Beginners with Python and SQL will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers build and maintain the data infrastructure that powers businesses. They design and implement data pipelines, manage data quality, and provide access to data for analysis and reporting. This course will help you build a foundation in data engineering, giving you the skills you need to succeed in this in-demand field. You will learn how to use Python and SQL to manipulate and query data, and you will gain experience with ETL (Extract, Transform, Load) processes. You will also learn about database fundamentals, data cleaning and transformation, and how to use APIs to access data from external sources.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts use data to solve business problems. They collect, clean, and analyze data to identify trends and insights that can help businesses make better decisions. This course will help you build a foundation in data analysis, giving you the skills you need to succeed in this in-demand field. You will learn how to use Python and SQL to manipulate and query data, and you will gain experience with data cleaning and transformation. You will also learn about data visualization and how to communicate your findings to stakeholders.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts help businesses understand their data and make better decisions. They gather requirements, analyze data, and develop recommendations for improvements. This course will help you build a foundation in business analysis, giving you the skills you need to succeed in this in-demand field. You will learn how to use Python and SQL to manipulate and query data, and you will gain experience with data cleaning and transformation. You will also learn about business process modeling and how to communicate your findings to stakeholders.

See salaries and explore the career path for Business Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course will help you build a foundation in software engineering, giving you the skills you need to succeed in this in-demand field. You will learn the basics of Python programming, and you will gain experience with data structures, algorithms, and software design. You will also learn about software testing and debugging.

See salaries and explore the career path for Software Engineer

Database Administrator

Database Administrators manage and maintain databases. They ensure that databases are running smoothly and that data is safe and secure. This course will help you build a foundation in database administration, giving you the skills you need to succeed in this in-demand field. You will learn how to install and configure databases, and you will gain experience with data backup and recovery. You will also learn about database performance tuning and security.

See salaries and explore the career path for Database Administrator

Data Scientist

Data Scientists use data to build models that can predict future outcomes. They work with a variety of statistical and machine learning techniques to create models that can help businesses make better decisions. This course will help you build a foundation in data science, giving you the skills you need to succeed in this in-demand field. You will learn the basics of Python programming, and you will gain experience with data cleaning, transformation, and visualization. You will also learn about machine learning algorithms and how to build and evaluate models.

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Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. They work with a variety of machine learning algorithms and techniques to create models that can solve business problems. This course will help you build a foundation in machine learning engineering, giving you the skills you need to succeed in this in-demand field. You will learn the basics of Python programming, and you will gain experience with data cleaning, transformation, and visualization. You will also learn about machine learning algorithms and how to build and evaluate models.

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Data Architect

Data Architects design and build data architectures. They work with a variety of data technologies to create architectures that meet the needs of businesses. This course will help you build a foundation in data architecture, giving you the skills you need to succeed in this in-demand field. You will learn about data modeling, data integration, and data governance. You will also learn about cloud computing and big data technologies.

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Data Privacy Analyst

Data Privacy Analysts help businesses comply with data privacy regulations. They work with a variety of data protection laws and regulations to ensure that businesses are collecting, using, and storing data in a compliant manner. This course will help you build a foundation in data privacy, giving you the skills you need to succeed in this in-demand field. You will learn about data privacy laws and regulations, and you will gain experience with data privacy impact assessments and data breach response.

See salaries and explore the career path for Data Privacy Analyst

Health Data Analyst

Health Data Analysts use data to improve the quality and efficiency of healthcare. They work with a variety of data sources to identify trends and patterns that can help healthcare providers make better decisions. This course will help you build a foundation in health data analysis, giving you the skills you need to succeed in this in-demand field. You will learn how to use Python and SQL to manipulate and query data, and you will gain experience with data cleaning and transformation. You will also learn about healthcare data standards and regulations.

See salaries and explore the career path for Health Data Analyst

Financial Analyst

Financial Analysts use data to make investment decisions. They work with a variety of financial data sources to identify trends and patterns that can help them make better investment decisions. This course will help you build a foundation in financial analysis, giving you the skills you need to succeed in this in-demand field. You will learn how to use Python and SQL to manipulate and query data, and you will gain experience with data cleaning and transformation. You will also learn about financial modeling and valuation.

See salaries and explore the career path for Financial Analyst

Marketing Analyst

Marketing Analysts use data to improve the effectiveness of marketing campaigns. They work with a variety of marketing data sources to identify trends and patterns that can help marketers make better decisions. This course will help you build a foundation in marketing analysis, giving you the skills you need to succeed in this in-demand field. You will learn how to use Python and SQL to manipulate and query data, and you will gain experience with data cleaning and transformation. You will also learn about marketing metrics and analytics.

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Operations Research Analyst

Operations Research Analysts use data to improve the efficiency of operations. They work with a variety of operations data sources to identify trends and patterns that can help businesses make better decisions. This course will help you build a foundation in operations research, giving you the skills you need to succeed in this in-demand field. You will learn how to use Python and SQL to manipulate and query data, and you will gain experience with data cleaning and transformation. You will also learn about optimization techniques and simulation modeling.

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Quantitative Analyst

Quantitative Analysts use data to make investment decisions. They work with a variety of financial data sources to identify trends and patterns that can help them make better investment decisions. This course will help you build a foundation in quantitative analysis, giving you the skills you need to succeed in this in-demand field. You will learn how to use Python and SQL to manipulate and query data, and you will gain experience with data cleaning and transformation. You will also learn about financial modeling and valuation.

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Risk Analyst

Risk Analysts use data to identify and assess risks. They work with a variety of data sources to identify trends and patterns that can help businesses make better decisions. This course will help you build a foundation in risk analysis, giving you the skills you need to succeed in this in-demand field. You will learn how to use Python and SQL to manipulate and query data, and you will gain experience with data cleaning and transformation. You will also learn about risk management techniques and risk assessment.

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Data Engineering for Beginners with Python and SQL

What's inside

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Syllabus

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