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Introduction to Python for Data Analysis
course content

Course Content

Introduction to Python for Data Analysis

Introduction to Python for Data Analysis

1. Introduction to Python 1/2
First Step in ProgrammingDeal with VariablesPractice Math SkillsChallengeDeal with PercentsHow to Attract One User?ChallengeLearn NumbersBoolean NumbersChallengeWork with StringsGet Familiar with ListsHow to Append New Element?
2. Introduction to Python 2/2
If/ElseChallengeIf/Elif/ElseChallengeFor LoopWhile LoopChallenge
3. Explore Dataset
Data StudyOperations with the FileHow to Explore the DataSorting DataMax, min, mean, medianChallengeGroup DataDive Deeper into Grouping DataGroup Data 2.0Introduction to NumPyPivot TablesRecall Loops.loc FunctionDeal with Several ConditionsChallengeVisualization: First StepsDive Deeper into Visualization
4. Becoming an Analyst
Data StudyExamine DatasetChallengeСAC 1/2CAC 2/2Costly CustomersOrganic TrafficHow Much Do We EarnIs Our Project Profitable? ROI 1/2ROI 2/2Visualize ROI

Recall Loops

Imagine that you want to count how many 'Data Scientist' jobs are in the dataset. You are already familiar with the loops and if/else statements. Try it.

Task

Follow the algorithm:

  1. Create a for loop that iterates through the 'job_title' column in the df.
  2. Within the for loop, implement the if statement that checks if i is equal to 'Data Scientist'.
  3. Within the if statement, increase the count variable by 1.

Task

Follow the algorithm:

  1. Create a for loop that iterates through the 'job_title' column in the df.
  2. Within the for loop, implement the if statement that checks if i is equal to 'Data Scientist'.
  3. Within the if statement, increase the count variable by 1.

In this chapter, you count values in a straightforward but irrational way. Imagine that you have thousands of rows in the dataset; such a loop may take even an hour to process, depending on the dataset's size and the computer's power. Thus, in the next section, you will learn how to do the same thing but in a way that pandas offer you.

Everything was clear?

Section 3. Chapter 12
toggle bottom row

Recall Loops

Imagine that you want to count how many 'Data Scientist' jobs are in the dataset. You are already familiar with the loops and if/else statements. Try it.

Task

Follow the algorithm:

  1. Create a for loop that iterates through the 'job_title' column in the df.
  2. Within the for loop, implement the if statement that checks if i is equal to 'Data Scientist'.
  3. Within the if statement, increase the count variable by 1.

Task

Follow the algorithm:

  1. Create a for loop that iterates through the 'job_title' column in the df.
  2. Within the for loop, implement the if statement that checks if i is equal to 'Data Scientist'.
  3. Within the if statement, increase the count variable by 1.

In this chapter, you count values in a straightforward but irrational way. Imagine that you have thousands of rows in the dataset; such a loop may take even an hour to process, depending on the dataset's size and the computer's power. Thus, in the next section, you will learn how to do the same thing but in a way that pandas offer you.

Everything was clear?

Section 3. Chapter 12
toggle bottom row

Recall Loops

Imagine that you want to count how many 'Data Scientist' jobs are in the dataset. You are already familiar with the loops and if/else statements. Try it.

Task

Follow the algorithm:

  1. Create a for loop that iterates through the 'job_title' column in the df.
  2. Within the for loop, implement the if statement that checks if i is equal to 'Data Scientist'.
  3. Within the if statement, increase the count variable by 1.

Task

Follow the algorithm:

  1. Create a for loop that iterates through the 'job_title' column in the df.
  2. Within the for loop, implement the if statement that checks if i is equal to 'Data Scientist'.
  3. Within the if statement, increase the count variable by 1.

In this chapter, you count values in a straightforward but irrational way. Imagine that you have thousands of rows in the dataset; such a loop may take even an hour to process, depending on the dataset's size and the computer's power. Thus, in the next section, you will learn how to do the same thing but in a way that pandas offer you.

Everything was clear?

Imagine that you want to count how many 'Data Scientist' jobs are in the dataset. You are already familiar with the loops and if/else statements. Try it.

Task

Follow the algorithm:

  1. Create a for loop that iterates through the 'job_title' column in the df.
  2. Within the for loop, implement the if statement that checks if i is equal to 'Data Scientist'.
  3. Within the if statement, increase the count variable by 1.

In this chapter, you count values in a straightforward but irrational way. Imagine that you have thousands of rows in the dataset; such a loop may take even an hour to process, depending on the dataset's size and the computer's power. Thus, in the next section, you will learn how to do the same thing but in a way that pandas offer you.

Section 3. Chapter 12
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