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NumPy for Data Science

Transform Data into Insights with NumPy Mastery!

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Intermediate

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NumPy for Data Science

4 Modules

Course Curriculum

4 Modules · 9 Chapters · 9 Topics · 60 Sub-topics

Introduction to NumPy

1 Topics

NumPy Fundamentals

5 Sub-topics

What is NumPy and Why Use It

Installing NumPy

Importing NumPy

NumPy vs Python Lists

Understanding ndarray Object

NumPy Array Fundamentals

1 Topics

Array Basics

6 Sub-topics

Creating 1D Arrays

Creating 2D Arrays

Creating 3D Arrays

Array Attributes - shape, size, ndim

Array Attributes - dtype and itemsize

Checking Array Type

Statistical Operations

1 Topics

Statistical Analysis with NumPy

8 Sub-topics

Mean, Median, and Mode

Standard Deviation and Variance

Percentiles and Quantiles

Correlation Coefficient

Covariance

Histogram Functions

Statistical Aggregations with Axis

Weighted Averages

Working with NaN and Inf

1 Topics

Handling Special Values

7 Sub-topics

Understanding NaN and Inf

Detecting NaN Values - np.isnan()

Detecting Inf Values - np.isinf()

NaN-aware Aggregations

Removing NaN Values

Filling NaN Values

NaN Propagation Rules

Array Manipulation Part 1

1 Topics

Reshaping and Transforming Arrays

6 Sub-topics

Reshaping Arrays - reshape()

Flattening Arrays - flatten() and ravel()

Transposing Arrays

Swapping Axes

Adding Dimensions - np.newaxis

Squeezing Dimensions

Array Manipulation Part 2

1 Topics

Combining and Splitting Arrays

6 Sub-topics

Concatenating Arrays - concatenate()

Stacking Arrays - vstack and hstack

Stacking Arrays - dstack and stack

Splitting Arrays - split, vsplit, hsplit

Repeating Arrays - repeat and tile

Inserting and Deleting Elements

Advanced Indexing Part 1

1 Topics

Boolean and Integer Indexing

6 Sub-topics

Boolean Indexing Basics

Boolean Masks with Conditions

Multiple Boolean Conditions

Integer Array Indexing

Fancy Indexing with 1D Arrays

Fancy Indexing with 2D Arrays

File IO Operations

1 Topics

Saving and Loading Arrays

8 Sub-topics

Saving Arrays - np.save()

Loading Arrays - np.load()

Saving Multiple Arrays - np.savez()

Saving Text Files - np.savetxt()

Loading Text Files - np.loadtxt()

Loading CSV Files - np.genfromtxt()

Handling Missing Data in Files

Binary File Operations

Sorting and Searching

1 Topics

Sorting and Finding Elements

8 Sub-topics

Sorting Arrays - np.sort()

Sorting Along Axis

Indirect Sorting - np.argsort()

Partial Sorting - np.partition()

Searching Arrays - np.searchsorted()

Finding Unique Elements

Finding Non-zero Elements

Finding Maximum and Minimum Indices

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NumPy for Data Science

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

Start Your Journey Today

NumPy for Data Science

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

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