Tredence Data Science Associate Interview Questions and Answers

55 ML questions and aptitude and 3 python questions and 2 sql questions

Q1. Normal distribution plot
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Q2. Standardisation vs normalisation
Ans. 
Standardisation and normalisation are techniques used to scale and transform data in order to improve model performance.
• Standardisation (Z-score normalisation) scales the data to have a mean of 0 and a standard deviation of 1.

• Normalisation (Min-Max scaling) scales the data to a specific range, typically between 0 and 1.

• Standardisation is less affected by outliers compared to normalisation.

• Standardisation is preferred w...read more
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Q3. How to handle outliars
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Outliers can be handled by identifying, analyzing, and either removing or transforming them in the data.
• Identify outliers using statistical methods like Z-score or IQR.

• Analyze the outliers to understand if they are errors or valid data points.

• Remove outliers if they are errors or transform them using techniques like winsorization or log transformation.

• Consider using robust statistical methods that are less sensitive to...read more
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Q4. Draw Box-plot and explain its characteristics
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Box-plot is a visual representation of the distribution of a dataset, showing the median, quartiles, and outliers.
• Box-plot displays the median (middle line), quartiles (box), and outliers (dots or lines).

• The length of the box represents the interquartile range (IQR).

• Whiskers extend to the smallest and largest non-outlier data points within 1.5 times the IQR from the quartiles.

• Outliers are plotted individually as dots o...read more
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Q1. How do you manage your time
Ans. 
I manage my time by prioritizing tasks, creating schedules, setting deadlines, and using time management tools.
• Prioritize tasks based on importance and deadlines

• Create daily or weekly schedules to allocate time for different tasks

• Set deadlines for each task to stay on track

• Use time management tools like calendars, to-do lists, and productivity apps

• Avoid multitasking and focus on one task at a time

• Take breaks to avoid b
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Q2. Why you want to join Tredence
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I want to join Tredence because of their reputation for cutting-edge data science projects and collaborative work environment.
• Tredence is known for their innovative data science projects

• I value the collaborative work environment at Tredence

• I believe Tredence will provide opportunities for professional growth and development
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