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Data Science Interview Challenge
course content

Course Content

Data Science Interview Challenge

Data Science Interview Challenge

1. Python
IntroductionChallenge 1: List ComprehensionChallenge 2: String ManipulationChallenge 3: Dictionary ManipulationChallenge 4: Nested LoopsChallenge 5: ClassesTheoretical Questions
2. NumPy
Challenge 1: Array CreationChallenge 2: Array ManipulationChallenge 3: Statistical InsightsChallenge 4: Handling Missing ValuesChallenge 5: Subarray SortingTheoretical Questions
3. Pandas
Challenge 1: DataFrame CreationChallenge 2: Data GroupingChallenge 3: Indexing and MultiIndexingChallenge 4: Altering DataFrameChallenge 5: Iterating Over DataTheoretical Questions
4. Matplotlib
Challenge 1: Fundamentals of PlottingChallenge 2: Other Graph TypesChallenge 3: SubplotsChallenge 4: Customizing PlotsChallenge 5: Adding Text to PlotsTheoretical Questions
5. Seaborn
Challenge 1: Visualizing DistributionsChallenge 2: Exploring Categorical DataChallenge 3: Relational PlotsChallenge 4: Regression PlotsChallenge 5: Matrix PlotsTheoretical Questions
6. Statistics
Challenge 1: Probabilities and DistributionsChallenge 2: Bayes' TheoremChallenge 3: Hypothesis TestingChallenge 4: Confidence IntervalsChallenge 5: CorrelationTheoretical Questions
7. Scikit-learn
Challenge 1: Data ScalingChallenge 2: Basic Model CreationChallenge 3: PipelinesChallenge 4: Cross-validationChallenge 5: Hyperparameter TuningTheoretical Questions

book
Challenge 2: String Manipulation

String manipulation in Python is a fundamental skill every programmer should master. Its significance includes:

  • Precision and Efficiency: String manipulation techniques allow for accurate data extraction and transformation. With built-in methods like split(), replace(), and find(), you can easily extract, replace, or locate substrings in a string.
  • Versatility: Strings are ubiquitous in Python, from file handling to data representation. Properly managing them is crucial to diverse applications.
  • Data Cleaning: In Data Science, raw data often contains unwanted characters or irregularities. String manipulation is essential to prepare and clean this data for analysis.

Thus, mastering string manipulation is paramount for efficient data handling and programming tasks.

Task
test

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Given a string, write a Python function to reverse every word in the string.

  1. Split the string.
  2. Reverse every word.
  3. Join the list of words.

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Section 1. Chapter 3
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book
Challenge 2: String Manipulation

String manipulation in Python is a fundamental skill every programmer should master. Its significance includes:

  • Precision and Efficiency: String manipulation techniques allow for accurate data extraction and transformation. With built-in methods like split(), replace(), and find(), you can easily extract, replace, or locate substrings in a string.
  • Versatility: Strings are ubiquitous in Python, from file handling to data representation. Properly managing them is crucial to diverse applications.
  • Data Cleaning: In Data Science, raw data often contains unwanted characters or irregularities. String manipulation is essential to prepare and clean this data for analysis.

Thus, mastering string manipulation is paramount for efficient data handling and programming tasks.

Task
test

Swipe to show code editor

Given a string, write a Python function to reverse every word in the string.

  1. Split the string.
  2. Reverse every word.
  3. Join the list of words.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 3
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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