Table of Contents
There are many methods and tools for data analysis that help in handling data. These include data visualization, reporting tools, spreadsheets, and data mining software.
Using these tools requires some basic knowledge of data analysis. These websites are all free to use and will help develop the necessary analytical skills. Their courses can help you improve your data analysis knowledge.
1. SQLBolt
A complete introduction to SQL (Structured Query Language) can be found on SQLBolt. In data analysis, SQL is an essential competency. If you know SQL you can work with relational databases to manipulate and manage data.
You can get a solid foundation in SQL with SQLBolt, covering both basic and advanced concepts. With the help of its interactive interface, students can use SQL commands to interact with real databases.
Each session starts with a new idea and ends with an engaging exercise. You will use SQL query techniques to create and modify database tables.
You can create and execute SQL queries using the code editor at the end of each exercise. Completing the activity and some of your own work will allow you to assess your understanding.
If you’ve worked with SQL before, you can skip to the more advanced courses on the site. It’s a fun and engaging way to learn and master SQL.
2. Excel Practice Online
Resources for practicing and learning Excel are available on this page. Microsoft Excel is a widely used spreadsheet application.
Excel allows you to perform mathematical calculations and organize data in rows and columns. This makes it ideal for accounting, budgeting, data input and data analysis.
You can practice with real datasets by visiting the Excel Practice Online page. It covers everything from more complex ideas to the basics of Excel for beginners.
You can test your learning using various activities and practice tests available on the website. They also offer free practice tests with solutions.
3. Tableau
A well-known platform for data analytics is Tableau. It gives customers the automated tools and expertise needed for data analysis.
You can use the tablet for your business or as an individual by creating an account on the Site. Premium and free resources of the platform will then be available to you.
Drag-and-drop visualization tools allow you to interact and engage with your data. It uses statistical modeling powered by AI that you can interact with through spoken language.
Shows you the tools you need to effectively manage, control and comply with your data. Your data is protected for the duration of the product lifecycle.
Using data insights, it can also help you make the best decisions for your company. You can make targeted predictions using the data you have Marketing, expansion and potentially stopping future cyber attacks. When you use Tableau, you can connect and share your knowledge with a community of data enthusiasts.
4. Python Tutorial
One of the most popular programming languages in data analysis is Python. Python tutorial explains the importance of Python in the field of data science. This lesson on Python will help you learn the language.
You should start by understanding the basics before moving on to more complex ideas. Python allows you to create practical applications. You will learn how to use Python in specific domains such as AI, machine learning and data science.
Once you understand the basics, you can use Python frameworks and modules to advance your skills. Among them are PyQt, Numpy and Django. It will be used for data analysis and development of desktop and online apps.
5. Data Analysis With Python (YouTube)
This is one of the top data analysis courses available on YouTube. FreecodeCamp is a ten-hour video course that advances you from beginner to expert. The course’s six lectures cover all the information needed to understand data science.
Python basics, such as control flow and data structures, will be covered first. This course will give you the skills you need to pick up Python quickly. Therefore, no prior programming experience is required. Further, exploratory data analysis and numerical computation with Numpy and Pandas are included in the curriculum.
Each study section contains practice questions, activities, and links to further reading material. You are able to learn more and research with weekly tasks. In addition, you will investigate case studies and present your results to fellow students.
At the end of the course you will be able to confidently use Python and its libraries for data analysis. You can develop real projects that strengthen your portfolio. Jovian also gives you a certificate of achievement.
6. Insights From Data With BigQuery
This Google Cloud Skills Boost course on BigQuery lasts five hours. Everything you need to know about BigQuery can be found here. One web service offered by Google Cloud Platform (GCP) is called BigQuery. It offers a managed, scalable and affordable data warehouse for analyzing large datasets.
This course is designed for students who have some prior knowledge and skills in data science. This course is not suitable for those new to data analysis. Additionally, you should plan to use BigQuery and other Google ecosystem analytics tools.
BigQuery capabilities such as SQL queries and database table creation and management will be covered. Additionally, you will inject data into BigQuery and use Query Validator to debug problems.
You will create charts, export data, and investigate Google Apps Script.to Google Slides. You will also learn to connect to BigQuery and generate reports using Google Data Studio.
By the end of this course, you will have practical skills with Google Cloud products. Each episode includes interactive labs to assess your knowledge of the topics. Some labs can be accessed free of charge, while others require membership.
After completing the final exam, Google gives you a skill badge to add to your portfolio. You can report this performance to your network.
7. Statistics – A Full University Course on Data Science Basics (YouTube)
This is an additional free CodeCamp video course on statistics on YouTube. During the eight-hour session you will learn the fundamentals of statistics for data analysis. It introduces several techniques for gathering, organizing, analyzing and condensing data.
Monica Vahi, teacher, shows students how to apply statistics for purposes beyond simple math operations. She gives examples of applying statistics as analytical tools in the real world.
Essential Data Analysis Skills
To effectively manage data as a data analyst, you’ll need a few key competencies. This includes effective communication skills, SQL query techniques, data cleansing and visualization.
All you need to learn these skills is time and effort; You don’t need to invest any money. You can start your way in data analytics with the help of the courses mentioned in this article. Why don’t you start now?
READ | Search Engine Marketing: What Is It? Definitions and Basic Concepts
1 thought on “7 websites with free data analysis education”