Course Content

Data Science Interview Challenge

1. Python

Introduction Challenge 1: List Comprehension Challenge 2: String Manipulation Challenge 3: Dictionary Manipulation Challenge 4: Nested Loops Challenge 5: Classes Theoretical Questions

2. NumPy

Challenge 1: Array Creation Challenge 2: Array Manipulation Challenge 3: Statistical Insights Challenge 4: Handling Missing Values Challenge 5: Subarray Sorting Theoretical Questions

3. Pandas

Challenge 1: DataFrame Creation Challenge 2: Data Grouping Challenge 3: Indexing and MultiIndexing Challenge 4: Altering DataFrame Challenge 5: Iterating Over Data Theoretical Questions

4. Matplotlib

Challenge 1: Fundamentals of Plotting Challenge 2: Other Graph Types Challenge 3: Subplots Challenge 4: Customizing Plots Challenge 5: Adding Text to Plots Theoretical Questions

5. Seaborn

Challenge 1: Visualizing Distributions Challenge 2: Exploring Categorical Data Challenge 3: Relational Plots Challenge 4: Regression Plots Challenge 5: Matrix Plots Theoretical Questions

6. Statistics

Challenge 1: Probabilities and Distributions Challenge 2: Bayes' Theorem Challenge 3: Hypothesis Testing Challenge 4: Confidence Intervals Challenge 5: Correlation Theoretical Questions

7. Scikit-learn

Challenge 1: Data Scaling Challenge 2: Basic Model Creation Challenge 3: Pipelines Challenge 4: Cross-validation Challenge 5: Hyperparameter Tuning Theoretical Questions

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

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

Split the string.
Reverse every word.
Join the list of words.

Task

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

Split the string.
Reverse every word.
Join the list of words.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 1. Chapter 3

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

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

Split the string.
Reverse every word.
Join the list of words.

Task

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

Split the string.
Reverse every word.
Join the list of words.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 1. Chapter 3

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

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

Split the string.
Reverse every word.
Join the list of words.

Task

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

Split the string.
Reverse every word.
Join the list of words.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

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

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

Split the string.
Reverse every word.
Join the list of words.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Section 1. Chapter 3

Switch to desktop for real-world practiceContinue from where you are using one of the options below