A 30-day campus placement preparation plan for freshers.

Start with a baseline, not a list of everything to study

On day one, choose a programming language you already know and solve two small problems without copying a solution. Try five arithmetic or reasoning questions, write a short SQL query if it is relevant to the role, and record a one-minute project explanation. Keep the errors: they tell you which practice deserves more time.

Use a notebook with four columns: task, result, reason for the error and next attempt date. A correct answer reached by guessing still needs review. If you cannot explain working code, practise explaining the idea before moving to a harder question.

• Read the role description and the employer’s own selection instructions.
• List the topics required for that role and separate them from optional revision.
• Choose one language for the initial plan rather than switching every day.
• Compare new attempts with your own baseline; a practice result is not a hiring prediction.

Give each day a realistic 90-minute structure

The schedule below is a practice example, not a requirement. If you have 45 minutes, halve the blocks. If you have more time, spend it revisiting mistakes before adding more new questions. Keep one lighter review day each week.

Days 1–7: make your fundamentals dependable

Practise input and output, conditions, loops, functions, arrays and strings. For aptitude, revise fractions, percentages, ratios and averages before mixing question types. Explain one concept aloud each day in plain language.

A good first coding task is to count the values strictly greater than a limit. For [80, 120, 100, 120] and a limit of 100, the answer is 2. Test equality and duplicate values; they check that you understood “strictly greater.” If an empty array is allowed, it should produce zero.

• Write the input, output and constraints before coding.
• Trace a small case by hand before running it.
• At the end of the week, retry two tasks you previously got wrong.

Days 8–14: practise patterns and core technical explanations

Move from isolated syntax to a few reusable approaches: frequency counting, linear search, sorting and two-pointer reasoning when the input permits it. Explain why an approach works, then identify the time and space it needs. Do not apply a pattern just because its name appears in a question.

For roles that require SQL, practise WHERE, GROUP BY, HAVING, JOIN and NULL with a small dataset whose results you can predict. For other subjects, choose material relevant to the role: for example, explain a database index, a process versus a thread, or a network request with a concrete example.

Days 15–21: explain your projects and practise interview conversations

Prepare a project explanation with the problem, your own contribution, one important decision, how you tested it and what you would improve. Be clear about which work you did and which work a teammate did. Use actual evidence from your project and avoid invented users or performance numbers.

Build your introduction around your current background, one relevant example and the kind of role you are seeking. Practise follow-up questions. If you mention a technology, be ready to describe what you used it for and a limitation you encountered.

• Prepare one example of debugging or correcting a mistake.
• Explain a trade-off without claiming there was only one possible solution.
• Listen to one recorded answer and choose a specific improvement for the next attempt.

Days 22–30: simulate the selection process and repair the gaps

Follow the employer’s published format where it is available: time limits, allowed languages, question types and equipment requirements can differ. Put together a mixed practice session and review both incorrect and guessed answers after finishing.

Use the last few days to revisit your error log, check your résumé and rehearse explaining the projects it lists. Confirm the real interview time, browser or device requirements and documents requested by the employer. Avoid replacing sleep and preparation logistics with a long session of unfamiliar topics.

InterviewSkills offers subject practice, coding and SQL workspaces, assessments and AI mock interview practice. The public website previews are small examples. Check current plan inclusions and the full checkout amount before purchasing access.