Tip 1: Practice Problem-Solving - Data Analysts are problem solvers. Practice working on analytical puzzles and case studies to improve your problem-solving abilities.
Tip 2: Gain Domain Knowledge - If you're aiming for a specific industry or domain, familiarize yourself with the key metrics, challenges, and trends relevant to that field. Domain knowledge enhances the value of your analysis.
Tip 3: Learn Data Visualization - Practice creating clear and insightful data visualizations using tools like Tableau, Power BI, or Python libraries like Matplotlib and seaborn. Visualizations are essential for effectively conveying findings to stakeholders.
Tip 4: Master Data Analysis Tools - Become proficient in data analysis tools such as SQL for data manipulation and retrieval, Excel for data cleaning and basic analysis, and a programming language like Python or R for advanced data analysis and visualization.
Tip 1: Data Projects: Include relevant personal or academic data analysis projects.
Tip 2: Relevant Skills: Highlight data analysis tools and languages you're proficient in.
Tip 3: Keywords and ATS: Optimize your resume with relevant keywords for applicant tracking systems.
You can’t sell without buying first.
For the given array [ 2, 100, 150, 120],
The maximum profit can be achieved by buying the stock at minute 0 when its price is Rs. 2 and selling it at minute 2 when its price is Rs. 150.
So, the output will be 148.
Step 1: Initialize minPrice to a high value and maxProfit to 0.
Step 2: Iterate through stock prices.
Step 3: Update minPrice to the minimum of the current price and minPrice.
Step 4: Update maxProfit to the maximum of the current profit and the difference between the current price and minPrice.
Step 5: Return maxProfit after the iteration.
Step 1: Initialize the result and num_bits to 0 and the number of bits in the integer (e.g., 32 for a 32-bit integer).
Step 2: Iterate from 0 to num_bits - 1.
Step 3: Extract each bit from the input integer using right-shift and bitwise AND.
Step 4: Shift and set the bits in the result.
Step 5: After the loop, the result will hold the integer with its bits reversed.
Input: 'arr' = [1,1,2,2,4,5,5]
Output: 4
Explanation:
Number 4 only appears once the array.
Exactly one number in the array 'arr' appears once.
Step 1: Use binary search with two pointers, left and right.
Step 2: While the left is less than or equal to the right, perform a binary search and adjust the pointers based on the middle element and its adjacent elements.
Step 3: After the loop, return the element at index left (or right) as the single unique element.
The width of each bar is the same and is equal to 1.
Input: ‘n’ = 6, ‘arr’ = [3, 0, 0, 2, 0, 4].
Output: 10
Explanation: Refer to the image for better comprehension:
You don't need to print anything. It has already been taken care of. Just implement the given function.
Step 1: Initialize left_max, right_max, and total_water variables.
Step 2: Traverse the input height array to fill the left_max array with the maximum height on the left of each element.
Step 3: Traverse the input height array in reverse to fill the right_max array with the maximum height on the right of each element.
Step 4: Traverse the input height array again to calculate trapped water for each element and add it to total_water.
Step 5: Return total_water as the result.
All the possible root to leaf paths are:
3, 4, -2, 4 with sum 9
5, 3, 4 with sum 12
6, 3, 4 with sum 13
Here, the maximum sum is 13. Thus, the output path will be 6, 3, 4.
There will be only 1 path with max sum.
Step 1: Implement a Depth-First Search (DFS) function to calculate the time for fire to reach each node from the starting node.
Step 2: Start DFS traversal from the given starting node, setting the initial time to 0.
Step 3: During traversal, pass the time to child nodes recursively, updating it with the burning time of the current node.
Step 4: Return the maximum time among all nodes after the DFS traversal, representing the time taken to burn the entire binary tree.
There is no limitation on taking the number of courses in a particular semester as long as all the prerequisites for taking the course are satisfied.
Step 1: Create a graph representation of courses and their prerequisites.
Step 2: Initialize a queue with courses that have no prerequisites.
Step 3: Use BFS to process courses in the queue, decrementing the in-degree of prerequisites.
Step 4: Add courses with in-degree 0 to the queue for the next semester.
Step 5: Repeat steps 3-4 until all courses are processed, tracking the semesters taken.
Step 6: Return the semesters or -1 if there's a cycle in the graph.
Pay an employee using a gold rod of 7 units
An employee works for an employer for 7 days. The employer has a gold rod of 7 units. How does the employer pay the employee, so that the number of employee’s rod units increases by one at the end of each day? The employer can make at most 2 cuts in the rod.
(Hint- after the end of the day employees can’t spend any part of the rod)
Tell me about yourself.
Why did you choose a career as a Data Analyst?
How do you handle tight deadlines and pressure while working on?
What motivates you to excel in your work?
Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
How do you write a single-line comment in C++?