Python
Python for Beginners
Learn Python from scratch through practical exercises and beginner-friendly projects.
- Level: Beginner
- 12 hours
- 42 lessons
- 8 projects
Build practical tech skills with focused online courses.
Learn Python, SQL, data analytics, React, and modern web development through structured, project-focused courses.
Featured Courses
View all courses →SQL
SQL for Data Analysis
Learn to query, aggregate, and analyze data with SQL through more than 100 hands-on exercises.
- Level: Beginner
- 9 hours
- 35 lessons
- 4 projects · 100+ exercises
Data Analytics
Data Analytics Bootcamp
A complete beginner-to-analyst curriculum covering Python, SQL, Pandas, data cleaning, exploratory analysis, visualization, and basic statistics.
- Level: Beginner
- 24 hours
- 68 lessons
- 10 projects
Web Development
React Fundamentals
Learn to build interactive user interfaces with React: components, props, state, hooks, and forms.
- Level: Beginner
- 10 hours
- 38 lessons
- 6 projects
Learning Paths
Follow a structured path from fundamentals to job-ready skills.
Python
Start programming with Python and build up to data analysis with Pandas and NumPy.
Data Analytics
Learn the full data analysis workflow: querying, cleaning, exploring, and visualizing data.
SQL
Query relational databases confidently, from simple SELECT statements to analytical queries.
Web Development
Build modern web applications with React and Next.js, from components to deployment.
Why Every Soma
Structured learning paths
Courses are organized into clear paths — Python, SQL, data analytics, and web development — so you always know what to learn next.
Practical exercises
Every course is built around hands-on work: exercises after each concept and projects at the end of each module.
Beginner-friendly courses
Most courses assume no prior experience, and intermediate courses state their prerequisites clearly.
Clear course outcomes
Each course page lists exactly what you will be able to do when you finish — no vague promises.
Learning Guides
View all guides →Learning Guide
How to Learn Python as a Complete Beginner
A step-by-step order for learning Python from zero: variables, conditions, loops, functions, data structures, projects, and when to move on to Pandas.
Learning Guide
Python vs SQL: Which Should You Learn First?
A practical comparison of Python and SQL for beginners: what each is for, which to learn first for data analysis or software development, and a recommended order for learning both.
Learning Guide
How to Learn SQL for Data Analysis
A structured path for learning SQL as an analyst: SELECT, filtering, aggregation, joins, subqueries, and how to practice with realistic projects.
Learning Guide
Data Analyst Learning Roadmap
The complete skill path to becoming a data analyst: spreadsheets, SQL, Python, Pandas, visualization, statistics, and portfolio projects — in the order that works.
Frequently Asked Questions
Are Every Soma courses suitable for beginners?
Yes. Most Every Soma courses are designed for beginners and assume no prior experience. Python for Beginners, SQL for Data Analysis, the Data Analytics Bootcamp, and React Fundamentals all start from the very basics. Intermediate courses such as Pandas and NumPy for Data Analysis or Next.js for Developers clearly list their prerequisites on the course page.
Do the courses include practical projects?
Yes. Every course is built around hands-on work. For example, Python for Beginners includes 8 projects, the Data Analytics Bootcamp includes 10 projects, and SQL for Data Analysis includes 4 projects along with more than 100 exercises. Each course page lists its projects and exercises.
Do I need programming experience?
Not for the beginner courses. Python for Beginners, SQL for Data Analysis, and the Data Analytics Bootcamp require no programming experience at all. Intermediate courses list a specific prerequisite — for instance, Pandas and NumPy for Data Analysis expects basic Python, and Next.js for Developers expects React fundamentals.
Are the courses self-paced?
Yes. All Every Soma courses are structured as self-paced curricula. Each course is broken into modules and lessons that you can follow in order at your own speed, with no fixed schedules or deadlines.
Have more questions? Read the full FAQ.