Data analytics is 🔑 a key skill in the modern digital world that opens up great opportunities for career growth 📈. We have collected useful resources to help you get started in this field!
1️⃣ Databases and SQL 🗄️
SQL (Structured Query Language) is the main language for working with databases. Here are some resources that will help you quickly master it:
🔹 📚 SoloLearn is a programming language learning platform that includes interactive SQL courses:
📌 Introduction to SQL – a basic course for those who are just starting out.
📌 SQL Intermediate is a course for deepening knowledge and learning more complex queries.
🔹 📖 Microsoft SQL Server 2012 Bible – a book that covers the basic features of Microsoft SQL Server, ideal for those who want to master relational databases.
🔹 💡 SQLBolt and 📝 PostgreSQL Exercises – sites with interactive tasks for SQL practice.
2️⃣ Python basics for data analysis 🐍
Python is one of the most popular languages for data analytics 🧑💻. It is easy to learn and has many libraries for working with information.
🔹 🎓 Python Institute is an educational platform with free courses covering different levels of complexity. After the basic course, we recommend taking 📊 Data Analysis Essentials with Python.
🔹 📖 Problem Solving with Algorithms and Data Structures using Python (Brad Miller, David Ranum) is an interactive tutorial on the basics of algorithmization and data structures that will help you understand the principles of algorithms 🤯.
3️⃣ Business intelligence and data warehouses 📦
To work effectively with large amounts of information, you need to understand the principles of business intelligence and data warehousing 🏢.
📖 The Data Warehousing for Dummies (Thomas C. Hammergren) is a great guide for beginners that explains the basics of data storage and processing without complicated terminology 🧐.
📖 The Data Warehouse ETL Toolkit (Ralph Kimball) is a book for analysts that discusses the best practices of data processing and building ETL processes ⚙️
4️⃣ Data visualization 🎨📊
Good visualization helps to turn complex data into understandable and compelling stories 📢.
📖 Information Dashboard Design (Stephen Few) – a detailed guide to creating effective dashboards 📊 that allow you to make data-driven business decisions quickly ✅
5️⃣ Programming and algorithmization basics 🖥️
If you are just starting your way in programming, pay attention to these resources:
🎮 Scratch – a platform that allows you to learn the basics of algorithmization in a game format 🎲.
📖 Problem Solving with Algorithms and Data Structures using Python is a great tutorial to help you understand data structures and algorithms in Python 🔄.
🚀✨ These resources will help you build a solid foundation in data analytics. The main thing is to constantly practice, work on real tasks, and not stop there!
The information is based on the materials of EPAM: https://campus.epam.ua/ua/blog/131
