7 Websites to Learn Data Analytics for Free
BY SANDRA DINDI
You don't have to spend money to learn data analytics. Begin your learning journey with these websites that are available for free.
There are many data-analysis tools and processes that assist in manipulating data. These range from spreadsheets, reporting tools, and data visualization to data mining programs.
To use these tools, you need some essential data analysis skills. The following free-to-use websites will help you acquire the necessary analytical skills. You can use their courses to boost your data analytics skills.
1. SQLBolt
SQLBolt provides a comprehensive introduction to SQL (Structured Query Language). SQL is a must-have skill in data analytics. With SQL skills, you can work with relational databases to process and structure data.
SQLBolt gives you a strong foundation in SQL, from the basics to advanced concepts. Its interactive interface allows learners to work with real-life databases using SQL commands.
All lessons introduce a new concept and have an interactive exercise at the end. You will create and alter database tables using SQL querying techniques.
A code editor at the end of each exercise allows you to write and run SQL queries. You can test your understanding by finishing the exercises and running some of your own.
If you have some experience with SQL, 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
This website provides the tools you need to practice and learn Excel. Excel is a popular Microsoft spreadsheet program.
You can organize data in rows and columns and perform mathematical operations with Excel. This makes it perfect for data analysis, data entry, budgeting, and accounting.
The Excel practice online website allows you to practice with real datasets. It covers everything from the basics of Excel for beginners to more advanced concepts.
The site has many exercises and practice tests that you can use to test your understanding. They even have free mock exams with answers.
3. Tableau
Tableau is a popular data analytics platform. It provides users with the knowledge and automated tools needed for data analysis.
By signing up on the platform, you can use Tableau as an individual or company. You can then have access to the paid and free resources offered on the platform.
You get to engage and interact with your data using drag-and-drop visualization tools. It uses AI-driven statistical modeling that you can interact with using human language.
Tableau provides you with resources to govern, comply with, and efficiently manage your data. It provides security for your data throughout the product's life cycle.
It can also help you make the right decisions for your business using data insights. You can make predictions with your data for targeted marketing, scaling, and even preventing future cyberattacks. Using Tableau gives you access to a community of data enthusiasts with whom you can connect and leverage your learnings.
4. Python Tutorial
Python is one of the most widely used programming languages in data analytics. The Python Tutorial shows you why Python is essential in data science. This Python tutorial will help you learn the programming language from scratch.
You start with understanding the basics and advance to deeper concepts. You get to develop real-world applications using Python. You will learn to apply Python in specific fields like data science, Machine learning, and AI.
After the basics, you can expand your knowledge to use Python frameworks and libraries. These include Django, Numpy, and PyQt. You will use these to develop web and desktop applications and perform data analysis.
5. Data Analysis With Python (YouTube)
This is one of the best data analysis courses on YouTube. It's a ten-hour video course by freecodeCamp that takes you from beginner to expert. The course has six lectures that include everything you need to know about data science.
You will begin with Python fundamentals like data structures and control flows. This course gives you the techniques you need to learn Python quickly. So prior knowledge of programming is not a requirement. The course then introduces numerical computing with Numpy, Pandas, and exploratory data analysis.
Each study section has practice projects, exercises, and additional resources for further reading. The weekly assignments allow you to research and expand your knowledge. You will also explore case studies and share your findings with other learners.
At the end of the course, you will be able to confidently use Python and its libraries for data analysis. You get to build real-world projects to beef up your portfolio. In addition, you get a certificate of accomplishment from Jovian.
6. Insights From Data With BigQuery
This is a five-hour BigQuery course on the Google Cloud Skill Boost platform. Here, you will learn everything you need to know about BigQuery. BigQuery is a web service provided by Google Cloud Platform (GCP). It provides a managed, scalable, and cost-effective data warehouse for analyzing large datasets.
The course is for learners with prior knowledge and experience in data science. It's not a suitable course for beginners in data analysis. You should also intend to use BigQuery and other analysis tools in the Google ecosystem.
You will learn BigQuery features like SQL queries, and creating and managing database tables. You will also load data into BigQuery and troubleshoot errors using the query validator.
You will explore Google Apps Script, create charts, and export data to Google Slides. You will also learn to connect to BigQuery and generate reports using Google Data Studio.
You will have hands-on experience with Google Cloud products at the end of this course. Each section has interactive labs to test your understanding of the subjects. Some labs are free to access, while others require a subscription.
When you finish the final assessment, Google also awards you a skill badge for your portfolio. You can share this achievement with your networks.
7. Statistics - A Full University Course on Data Science Basics (YouTube)
This is another free YouTube video course from freeCodeCamp teaching Statistics. The eight-hour course takes you through the essentials of statistics for data analysis. It introduces various methods to collect, organize, interpret, and summarize data.
The instructor, Monica Wahi, teaches how to use statistics for more than mathematical calculations. She shares real-life examples of using statistics as analytical tools.
Essential Data Analysis Skills
As a data analyst, you will need some vital skills to handle data efficiently. These include data cleaning, visualization, SQL query techniques, and strong communication skills.
You don't have to spend money to acquire these skills, all you need is your time and effort. The courses listed in this article will help you begin your data analytics journey. Why don't you get started?
ABOUT THE AUTHOR
Sandra Dindi(64 Articles Published)
Sandra is a Tech enthusiast with an extensive Journalism and Full-stack web development background. She specializes in web development and Cloud technology. For leisure, Sandra enjoys a good thriller, reading, and hiking.