Data Science

What you will Learn

In data science, you’ll learn programming languages like Python or R, data wrangling techniques for cleaning and preprocessing data, exploratory data analysis to understand data patterns, statistical analysis for drawing conclusions, and machine learning for making predictions and building models.

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Course content

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    What is Python?
  2. A Brief history of Python Why Should I Learn Python?
  3. Installing Python How to execute.
  4. Python program Write your first program

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Practice Question

  1. What is Python, and why is it popular in the programming community?
  2. Can you provide a brief history of Python’s development?
  3. What are some reasons why someone should learn Python?
  4. How do you install Python on your computer?
  5. What are the different ways to execute Python code?
  6. How do you write and save a Python program?
  7. Could you walk me through the process of writing my first Python program?
  8. What is a Python script, and how does it differ from a Python program?
  9. How do you run a Python script from the command line?
  10. What are some online resources or tutorials for beginners to learn Python programming?
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  1. What is a variable?
  2. A Brief Data From and type

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Practice Question

  1. What is a variable in Python?
  2. How do you declare a variable in Python?
  3. What are the rules for naming variables in Python?
  4. How do you assign a value to a variable in Python?
  5. What are the basic data types supported by Python?
  6. How do you determine the data type of a variable in Python?
  7. Explain the difference between mutable and immutable data types in Python.
  8. How do you convert one data type to another in Python?
  9. What is type casting in Python?
  10. Can you provide examples of each basic data type in Python?
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  1. Variables Numbers String Lists ,Tuples & Dictionary and more. 

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Practice Question

  1. What are the two main categories of data types in Python?
  2. Give examples of immutable data types in Python.
  3. Explain the characteristics of mutable data types with examples.
  4. Differentiate between a list and a tuple in Python.
  5. What is the purpose of a dictionary in Python, and how is it defined?
  6. Describe the key features of sets in Python.
  7. What is the boolean data type used for in Python, and how is it represented?
  8. How do you create a complex number in Python?
  9. Explain the concept of type conversion in Python with examples.
  10. Discuss the differences between shallow copy and deep copy in Python, using examples if possible.
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  1.  String CRUD opration.
  2. String Methods.

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Practice Question

  1. What is a string in Python, and how is it represented?
  2. How do you create a string in Python using single quotes (”) and double quotes (“”)?
  3. What is string concatenation, and how is it performed in Python?
  4. How do you access individual characters in a string in Python?
  5. What is string slicing, and how is it used to extract substrings from a string?
  6. How do you find the length of a string in Python?
  7. What are some common string methods in Python, and how are they used?
  8. How do you convert a string to uppercase or lowercase in Python?
  9. What is string formatting, and how can you use it to insert variables into a string?
  10. How do you split a string into a list of substrings based on a delimiter in Python
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  1. Tuple CRUD opration.
  2. Tuple Methods.

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Practice Question

  1. How do you create a tuple in Python? Provide an example.
  2. How do you access elements in a tuple in Python? Give an example.
  3. Is it possible to update the values of a tuple in Python? Explain.
  4. How do you delete an element from a tuple in Python?
  5. How do you concatenate two tuples in Python? Show with an example.
  6. How do you check if an element exists in a tuple in Python?
  7. How do you find the length of a tuple in Python?
  8. Explain tuple slicing in Python with an example.
  9. Discuss the concept of immutability in Python tuples.
  10. What are the advantages of using tuples over lists in Python?
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  1. List CRUD opration.
  2. List Methods.

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Practice Question

  1. What is a list in Python?
  2. How do you create an empty list in Python?
  3. Explain how to access elements in a list in Python.
  4. What is slicing in Python lists? Provide an example.
  5. How can you check if a specific element exists in a list in Python?
  6. Explain the difference between the append() and extend() methods in Python lists.
  7. How do you remove an element from a list in Python?
  8. What is the difference between the remove() and pop() methods in Python lists?
  9. Explain list comprehension in Python with an example.
  10. How can you sort a list in Python? Provide different methods
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  1. Dict CRUD opration.
  2. Dict Methods.

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Practice Question

  1. What is a dictionary in Python?
  2. How do you create an empty dictionary in Python?
  3. Explain how to access values in a dictionary in Python.
  4. What is the difference between a dictionary and a list in Python?
  5. How do you add a new key-value pair to an existing dictionary in Python?
  6. Explain the difference between the update() and setdefault() methods in Python dictionaries.
  7. How can you remove a key-value pair from a dictionary in Python?
  8. What is dictionary comprehension in Python? Provide an example.
    Explain the usage of the keys(), values(), and items() methods in Python dictionaries.
  9. How do you check if a specific key exists in a dictionary in Python?
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  1. Set CRUD opration.
  2. Set Methods.
  3.  

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Practice Question

  1. What is a set in Python?
  2. How do you create an empty set in Python?
  3. Explain the difference between a set and a list in Python.
  4. How do you add elements to a set in Python?
  5. Can a set contain duplicate elements? Explain.
  6. What is the purpose of using a set in Python?
  7. How can you perform set operations like union, intersection, and difference in Python?
  8. Explain the difference between the add() and update() methods in Python sets.
  9. How do you remove an element from a set in Python?
  10. What is the difference between a set and a frozenset in Python?
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  1. if…statement
  2. if…else statement
  3. elif…statement .

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Practice Question

  1. What is a conditional statement in Python?
  2. How do you write a basic if statement in Python?
  3. What is the purpose of the else keyword in an if-else statement?
  4. How do you write an if-else statement in Python?
  5. What does the elif keyword do in Python?
  6. How do you nest if statements in Python?
  7. How do you compare two values in Python?
  8. What is the difference between == and = in Python?
  9. How do you check if a number is greater than or equal to another number in Python?
  10. How do you check if a value exists in a list using a conditional statement?
  11. What is the purpose of the in keyword in Python?
  12. How do you use logical operators (and, or, not) in Python conditional statements?
  13. What is a ternary conditional expression in Python?
  14. How do you handle multiple conditions using if-elif-else statements?
  15. What happens if there are no conditions met in a series of if-elif-else statements?
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  1. The while…Loop
  2. The for….Loop .

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Practice Question

  1. What is the purpose of using loops in Python?
  2. How do you create a for loop in Python
  3. How do you create a while loop in Python?
  4. What is the difference between a for loop and a while loop?
  5. How do you iterate through a list using a for loop?
  6. How do you iterate through a string using a for loop?
  7. How do you iterate through a range of numbers using a for loop?
  8. How do you use the range() function in a for loop?
  9. How do you exit a loop prematurely in Python?
  10. How do you skip the current iteration of a loop in Python?
  11. How do you loop through a dictionary using a for loop?
  12. How do you use the enumerate() function in a loop?
  13. How do you loop through multiple lists simultaneously?
  14. How do you find the sum of all elements in a list using a loop?
  15. How do you find the maximum value in a list using a loop?
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  1. Define function Calling a function
  2. Function arguments Built-in functions.

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Practice Question

  1. What is the purpose of using loops in Python?
  2. How do you create a for loop in Python
  3. How do you create a while loop in Python?
  4. What is the difference between a for loop and a while loop?
  5. How do you iterate through a list using a for loop?
  6. How do you iterate through a string using a for loop?
  7. How do you iterate through a range of numbers using a for loop?
  8. How do you use the range() function in a for loop?
  9. How do you exit a loop prematurely in Python?
  10. How do you skip the current iteration of a loop in Python?
  11. How do you loop through a dictionary using a for loop?
  12. How do you use the enumerate() function in a loop?
  13. How do you loop through multiple lists simultaneously?
  14. How do you find the sum of all elements in a list using a loop?
  15. How do you find the maximum value in a list using a loop?
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  1. Introduction about classes & objects
  2. Creating a class & object

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Practice Question

  1. What is a class in Python?
  2. How do you define a class in Python?
  3. What is an object in Python?
  4. How do you create an object from a class in Python?
  5. What is the purpose of the __init__ method in a class?
  6. How do you define attributes in a class?
  7. How do you access attributes of an object in Python?
  8. What is the difference between an instance attribute and a class attribute?
  9. How do you define methods in a class?
  10. What is the purpose of the self parameter in a class method?
  11. How do you call a method on an object in Python?
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  1. what is data analysis ? why python for data analysis ?
  2. Essential Python Libraries.
  3. Installation and setup Ipython Jupyter Notebook

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Practice Question

  1. What is data analysis, and why is it important?
  2. How does Python facilitate data analysis?
  3. What are some basic steps involved in data analysis?
  4. What are libraries in Python, and why are they important for data analysis?
  5. What is NumPy, and how is it used in data analysis?
  6. Can you explain the role of pandas in data analysis?
  7. How do you install Python libraries for data analysis?
  8. What is Jupyter Notebook, and how does it help in data analysis?
  9. What are some basic data visualization techniques in Python?
  10. How can beginners start learning data analysis with Python?
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  1. Creating multidimensional array.
  2. NumPy-Data types Array attributes
  3. Indexing and Slicing Creating array views and copies
  4. Manipulating array shapes I/O with NumPy

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Practice Question

  1. What is NumPy, and why is it important in Python programming?
  2. How do you create a one-dimensional array using NumPy?
  3. Can you explain the concept of multidimensional arrays in NumPy?
  4. What are some common data types available in NumPy arrays?
  5. How do you check the shape and size of a NumPy array?
  6. What are array attributes in NumPy, and how are they useful?
  7. Explain the basics of indexing and slicing in NumPy arrays.
  8. What is the difference between array views and copies in NumPy?
  9. How do you reshape a NumPy array?
  10. What are some common file formats supported for input and output operations with NumPy?
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  1. Installing pandas Pandas dataframes Pandas Series.
  2. Data aggregation with Pandas
  3. DataFrames Concatenating and appending
  4. DataFrames Joining DataFrames
  5. Handling missing data

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Practice Question

  1. What is NumPy, and why is it important in Python programming?
  2. How do you create a one-dimensional array using NumPy?
  3. Can you explain the concept of multidimensional arrays in NumPy?
  4. What are some common data types available in NumPy arrays?
  5. How do you check the shape and size of a NumPy array?
  6. What are array attributes in NumPy, and how are they useful?
  7. Explain the basics of indexing and slicing in NumPy arrays.
  8. What is the difference between array views and copies in NumPy?
  9. How do you reshape a NumPy array?
  10. What are some common file formats supported for input and output operations with NumPy?
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  1. Writing CSV files with numpy and pandas HDF5 format
  2. Reading and Writing to Excel with pandas JSON data Parsing HTML with Beautiful Soup PyTables

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Practice Question

  1. How do you write data to a CSV file using NumPy?
  2. What is the process of writing data to a CSV file using pandas?
  3. Can you explain what HDF5 format is and how it is used for storing data?
  4. How do you read data from an HDF5 file using pandas?
  5. What are the steps involved in writing data to an Excel file using pandas?
  6. How do you read data from an Excel file into a pandas DataFrame?
  7. What is JSON data, and how is it commonly used for storing structured data?
  8. How do you parse JSON data using the pandas library?
  9. What is Beautiful Soup, and what is its purpose in Python programming?
  10. How do you use Beautiful Soup to parse HTML data and extract information from web pages?
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  1. Basic statistics with numpy Linear Algebra with numpy
  2. Numpy random numbers Creating a numpy masked array

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Practice Question

  1. What are some common statistical operations you can perform with NumPy?
  2. How do you calculate the mean, median, and standard deviation of an array using NumPy?
  3. Can you explain the difference between vectors and matrices in linear algebra?
  4. What are some basic linear algebra operations that can be performed with NumPy?
  5. How do you generate random numbers using NumPy?
  6. What is the purpose of the np.random.rand() function in NumPy?
  7. How do you generate random integers within a specified range using NumPy?
  8. What is a masked array, and why might you use one in NumPy?
  9. How do you create a masked array in NumPy?
  10. Can you provide an example of how to perform basic statistical analysis on a dataset using NumPy?
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  1. Installation matplotlib Basic matplotlib plots
  2. Scatter plots Saving plots to file plotting functions in pandas

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Practice Question

  1. How do you install the matplotlib library in Python?
  2. What are some basic types of plots you can create with matplotlib?
  3. How do you create a line plot using matplotlib?
  4. Can you explain the purpose of a scatter plot in data visualization?
  5. How do you create a scatter plot using matplotlib?
  6. What is the process for saving a plot generated with matplotlib to a file?
  7. What are some common file formats you can save plots to using matplotlib?
  8. How do you use plotting functions in pandas to create visualizations?
  9. What is the difference between using matplotlib directly and using plotting functions in pandas?
  10. Can you provide an example of how to create a basic plot using pandas plotting functions?

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