There are many data analysis tools and processes that help us work with data. These range from spreadsheets, reporting tools, data visualization to data mining programs.
Using these tools requires some key data analysis skills. The following free-to-use websites can help you learn the analytical skills you need. Take courses to improve your data analysis skills.
SQLBolt provides a comprehensive introduction to SQL (Structured Query Language). SQL is an essential skill in data analysis. If you have SQL skills, you can work with relational databases to process and structure data.
SQLBolt provides a strong foundation of SQL, from basics to advanced concepts. An interactive interface allows learners to manipulate real databases using SQL commands.
Every lesson introduces new concepts and ends with an interactive exercise. Create and modify database tables using SQL query techniques.
A code editor at the end of each exercise allows you to create and run SQL queries. You can test your understanding by completing the exercises and doing some of your own exercises.
If you have some experience with SQL, you can skip to the more advanced courses on our site. It’s a fun and engaging way to learn and master SQL.
This website provides the tools you need to practice and learn Excel. Excel is Microsoft’s popular spreadsheet program.
You can use Excel to organize data into rows and columns and perform mathematical operations. Therefore, it is ideal for data analysis, data entry, budgeting and accounting.
The Excel Practice Online website lets you practice with real datasets. It covers everything from Excel basics for beginners to advanced concepts.
This site has many exercises and practice tests that you can use to test your understanding. There is also a free practice test with answers.
Tableau is a popular data analytics platform. It gives users the knowledge and automated tools they need to analyze data.
You can use Tableau as an individual or as a company by signing up for the platform. You will then be able to access paid and free resources offered on the platform.
You’ll be able to manipulate and interact with your data using drag-and-drop visualization tools. It uses AI-driven statistical modeling and can be interacted with using human language.
Tableau gives you the resources to govern, comply, and manage your data efficiently. Provides data security throughout the product lifecycle.
It also helps you leverage data insights to make better business decisions. Data can be used to make predictions for targeted marketing, expansion, and even preventing future cyberattacks. With Tableau, you can access a community of data enthusiasts to apply what you learn and make connections.
Python is one of the most widely used programming languages for data analysis. Python tutorials explain why Python is essential for data science. This Python tutorial will help you learn the programming language from scratch.
Start by understanding the basics and move on to deeper concepts. You can develop real applications using Python. Learn how to apply Python to specific areas such as data science, machine learning, and AI.
Once you understand the basics, you can expand your knowledge to use Python frameworks and libraries. These include Django, Numpy and PyQt. Use them to develop web and desktop applications and perform data analysis.
This is one of the best data analytics courses on YouTube. This is his 10 hour video course by freecodeCamp that takes you from beginner to expert. This course has six of his lectures and includes everything you need to know about data science.
Start with Python basics such as data structures and control flow. This course provides the techniques you need to learn Python quickly. Therefore, no prior programming knowledge is required. The course then introduces numerical computing using Numpy, Pandas, and exploratory data analysis.
Each learning section includes hands-on projects, exercises, and additional resources for further reading. Weekly challenges allow you to research and expand your knowledge. You will also consider case studies and share your findings with other learners.
After completing the course, you will be confident in using Python and its libraries for data analysis. Build real projects to enhance your portfolio. Additionally, you will receive a certificate of achievement from Jovian.
This is a 5 hour BigQuery course on the Google Cloud Skill Boost Platform. Learn everything you need to know about BigQuery here. BigQuery is a web service provided by Google Cloud Platform (GCP). Provides a governed, scalable, and cost-effective data warehouse for analyzing large datasets.
This course is intended for learners with prior knowledge and experience in data science. This course is not suitable for beginners in data analysis. In the Google ecosystem he should also plan to use BigQuery and other analytics tools.
Learn about BigQuery features such as SQL queries and creating and managing database tables. We will also load the data into BigQuery and use the query validator to troubleshoot errors.
Explore Google Apps Script, create charts, and export data to Google Slides. You will also learn how to connect to BigQuery and generate reports using Google Data Studio.
At the end of this course, you will have hands-on experience with Google Cloud products. Each section has an interactive lab to test your understanding of the subject matter. Some labs are free to access, while others require a subscription.
Upon completion of the final assessment, Google will also award a Portfolio Skills badge. You can share this achievement with your network.
This is another free YouTube video course from freeCodeCamp that teaches statistics. This 8-hour course teaches the basics of statistics for data analysis. Explore different ways to collect, organize, interpret, and summarize data.
Instructor Monica Wahi teaches you how to use statistics for more than just mathematical calculations. She shares real-world examples of using statistics as an analytical tool.
Essential data analysis skills
As a data analyst, working with data effectively requires several key skills. These include data cleaning, visualization, SQL query techniques, and strong communication skills.
You don’t have to spend any money to acquire these skills. All it takes is your time and effort. The courses listed in this article will help you get started on your data analytics journey. Want to get started?
