Which IT course fits your goals?
Answer three quick questions to find a starting point. This guide matches your interests; it is not an aptitude test or a promise of employment.
Next, request the syllabus, current fees and batch options, or ask a counsellor for guidance. Your quiz answers stay in this page and are not submitted.
Browse all six courses or contact a counsellor if this quiz does not run in your browser.
Compare six IT learning paths before choosing a course
Start with the kind of work you want to practise. Use the comparison below, explore a sample exercise, then ask the ScholarLogic team which syllabus, prerequisites and feedback apply to your chosen batch. The examples are free practice guides, not a promise of a particular assessment or job.
| Learning path | Work you can explore | Try a sample exercise |
|---|---|---|
| Data Analytics | Answer business questions with Excel, SQL, Power BI and data visualisation. | Reconcile a sales dashboard with SQL totals. |
| Python Full Stack | Build web application features with Python and Django. | Plan a Django task tracker. |
| Java Full Stack | Develop Java application logic and Spring Boot APIs. | Check request validation in a task API. |
| Data Science | Explore Python, statistics and how to evaluate machine-learning results. | Check a model score for leakage and misleading accuracy. |
| Cloud AWS and DevOps | Explore Linux, cloud infrastructure and deployment workflows. | Prepare for a first AWS lab safely. |
| Digital Marketing | Plan content, search and campaigns, then measure what happens. | Write a campaign brief and measurement plan. |
Should I choose Data Analytics or Data Science?
Explore Data Analytics if your immediate interest is business reporting, SQL and dashboards. Explore Data Science if you want to develop more statistics, Python and model-evaluation skills. Both require practice; compare the prerequisites and sample work before enrolling.
How should I choose between Python and Java Full Stack?
Try a small exercise in each language and compare the web frameworks you will study. Python with Django and Java with Spring Boot are different learning routes. Ask how the batch covers databases, frontend work, testing and project feedback; a language choice alone does not establish job readiness.
What should I confirm before booking a course?
Ask for current batch dates, teaching and practice time, total fees, payment and cancellation terms, prerequisites and placement-support eligibility in writing. ScholarLogic’s Data Analytics course is five months; confirm the current schedule for any other course with the team. Placement assistance is not a job guarantee.
Request the current syllabus, fees and batch options, or find course guidance for your area. ScholarLogic’s classroom is in BTM Layout, Bengaluru; area guides do not represent additional centres.
Answers about ScholarLogic’s six IT courses
ScholarLogic teaches in BTM Layout, Bengaluru. Choose the question that fits your goals, then check the course page for the syllabus and how to enquire.
What does ScholarLogic’s Data Analytics course in Bangalore cover?
ScholarLogic’s five-month Data Analytics course covers Excel, SQL, Power BI, Python, Tableau and Gen AI. A practical starting point is to verify sales totals in SQL and build a dashboard in Power BI. View ScholarLogic’s Data Analytics course.
What can I build while learning Python Full Stack?
Start with a Django task tracker. Use Python for application logic, a database to store tasks, and web forms to create and update them. Add a test to check that one user cannot edit another user’s tasks. View ScholarLogic’s Python Full Stack course.
What should I practise in a Java Full Stack course?
Build a Spring Boot task API with Java. Practise reading and writing records, validating requests, and returning a clear error when a request is invalid. Then connect a simple frontend to the API. View ScholarLogic’s Java Full Stack course.
What should a beginner learn in Data Science?
Start with Python and statistics, then practise training and evaluating a model. Use separate training and test data so you can measure how the model performs on examples it has never seen. View ScholarLogic’s Data Science course.
What should a beginner learn in AWS and DevOps?
Start with Linux, AWS identity and access management, and one small deployment. A first lab can compare an allowed action with a denied one and show how to remove resources afterwards. View ScholarLogic’s AWS and DevOps course.
What should a beginner put in a Digital Marketing portfolio?
Build a sample campaign around one audience and one goal. Include a search or content brief, your landing page message, and a plan for measuring enquiries or another action that matters to the campaign. View ScholarLogic’s Digital Marketing course.
Practice questions for all six courses
Each guide contains 64 questions with short answers grouped by topic. Start with the course you want to explore.
