Mastering Python, Pandas, Numpy for Absolute Beginners

Learn Python, NumPy, and Pandas from Scratch

4.52 (694 reviews)
Udemy
platform
English
language
Other
category
Mastering Python, Pandas, Numpy for Absolute Beginners
51,128
students
6.5 hours
content
Mar 2024
last update
$44.99
regular price

What you will learn

Python Basics: A solid foundation in Python programming, including data types, loops, conditionals, functions

Understanding Lists are different from arrays

NumPy Fundamentals: Understanding the NumPy library to efficiently work with arrays, matrices, and perform mathematical operations.

Pandas Essentials: Exploring the Pandas library in-depth, covering Series and DataFrames, data importing/exporting, data cleaning, filtering, sorting, grouping

Description

Are you ready to take your data analysis and manipulation skills to the next level? Welcome to "Mastering Data Manipulation with Python: A Comprehensive Guide to NumPy and Pandas." In this hands-on course, you'll embark on a journey to become a proficient data wrangler and analyst using the powerful tools at your disposal.


NumPy is a basic level external library in Python used for complex mathematical operations. NumPy overcomes slower executions with the use of multi-dimensional array objects. It has built-in functions for manipulating arrays. We can convert different algorithms to can into functions for applying on arrays. NumPy has applications that are not only limited to itself. It is a very diverse library and has a wide range of applications in other sectors. Numpy can be put to use along with Data Science, Data Analysis and Machine Learning. It is also a base for other python libraries. These libraries use the functionalities in NumPy to increase their capabilities.


This course introduce with all majority of concept of NumPy - numerical python library.

You will learn following topics :

1) Creating Arrays using Numpy in Python

2) Accessing Arrays using Numpy in Python

3) Finding Dimension of the Array using Numpy in Python

4) Negative Indexing on Arrays using Numpy in Python

5) Slicing an Array using Numpy in Python

6) Checking Datatype of an Array using Numpy in Python

7) Copying an Array using Numpy in Python

8) Iterating through arrays using Numpy in Python

9) Shape of Arrays using Numpy in Python

10) Reshaping Arrays using Numpy in Python

11) Joining Arrays using Numpy in Python

12) Splitting Array using Numpy in Python

13) Sorting an Array using Numpy in Python

14) Searching in Array using Numpy in Python

15) Filtering an Array using Numpy in Python

16) Generating a Random Array using Numpy in Python


The Numpy arrays are homogenous sets of elements. The most important feature of NumPy arrays is they are homogenous in nature. This differentiates them from python arrays. It maintains uniformity for mathematical operations that would not be possible with heterogeneous elements. Another benefit of using NumPy arrays is there are a large number of functions that are applicable to these arrays. These functions could not be performed when applied to python arrays due to their heterogeneous nature.


Course Highlights:

  • Build a Strong Foundation: Whether you're a beginner or looking to solidify your understanding, this course is designed to guide you from the basics to advanced data manipulation techniques.

  • Master NumPy: Learn how to efficiently work with arrays, matrices, and perform mathematical operations using the NumPy library. Discover how to handle data of various dimensions effortlessly.

  • Harness the Power of Pandas: Dive deep into Pandas, the go-to library for data manipulation in Python. Explore data structures like Series and DataFrames, and learn how to filter, reshape, and aggregate data effectively.

  • Real-world Projects: Apply your newfound skills to real-world scenarios. Analyze and manipulate datasets, clean messy data, and extract valuable insights that drive informed decision-making.

  • Optimize Your Workflow: Streamline your data analysis process by mastering techniques for data cleaning, transformation, and visualization, all while writing efficient and readable code.

  • Unlock Data Insights: Learn how to manipulate, transform, and visualize data to uncover patterns and trends that tell a compelling data-driven story.

  • Comprehensive Guidance: Benefit from step-by-step explanations, practical examples, and quizzes that reinforce your learning and ensure you grasp each concept.

  • Lifetime Access: Gain unlimited access to course materials, allowing you to revisit and reinforce your skills whenever you need to.

Whether you're a business analyst, data scientist, student, or anyone intrigued by the power of data, this course equips you with the tools to tackle data challenges with confidence. Join us now and unlock the potential of Python, NumPy, and Pandas to master the art of data manipulation.

Enroll today and take your data analysis skills to new heights!

Remember to personalize the course description based on the specific content, benefits, and approach of your course. Highlighting the practical skills learners will gain and the real-world applications of Python, NumPy, and Pandas will attract potential students.


Happy learning

Surendra Varma Pericherla

Content

Using Numpy Module in Python

Online IDE for running Python Numpy programs
Creating & Accessing elements in 1D Array
Creating & Accessing elements in 2D Array
Finding Dimension of the Array
Using Negative Indexing to access elements in 1D array
Using Negative Indexing to access elements in 2D array
Slicing an Array
Checking Datatype of an Array
Copy Operation on an array
Iterating 1D array
Iterating 2D array
Finding Shape of the Array
Reshaping 1D Array to 2D Array
Joining Two Arrays
Splitting an Array
Sorting an Array
Searching for an Element in Array
Filtering an Array
Generate a Random Integer
Generating a Random Array

Quizzes

Question #1
Solution to Question #1
Question #2
Solution to Question #2
Question #3
Solution to Question #3
Question #4
Solution to Question #4
Question #5
Solution to Question #5
Question #6
Solution to Question #6

Reviews

Henry
November 9, 2023
Excellent training that is clearly presented and arranged. Excellent information that explains difficult ideas in a clear and easy-to-understand manner. I'm grateful.
Larry
November 9, 2023
I adore this course so much. When presenting concepts and content, there are clear explanations, engaging examples, and logically sound organization. I'm grateful.
Joshua
November 8, 2023
This course is amazing; it provides you with all the fundamental skills you need to get started with Python, Pandas, and Numpy. Excellent for newcomers, and the instructor is very knowledgable.
Aaron
November 8, 2023
The training is amazing and has a ton of really helpful advice. The short, to-the-point, accurate instructional methodology is excellent. Strongly advised!
Pamela
November 2, 2023
This course is beneficial for anyone seeking an introduction to Python programming as it provides a good knowledge of the key features of Pandas, Numpy, and Python.
Yogesh
November 2, 2023
I think I have got the thorough, intelligible, and effective numpy and pandas lesson I was seeking for, and I am extremely grateful to the instructor for that.
Neeraz
November 2, 2023
I am really happy with the course material and how it is presented thus far. I eagerly anticipate the same from the remaining ones.
Kusum
November 2, 2023
I learned a lot about the subject, and all of the topics are thoroughly addressed and explained. Best intentions
Bhairavi
November 2, 2023
Superb instructional skills extremely delicately and steadily. Provide an answer all of your questions on Numpy, Pandas, and Python.
Alannah
November 2, 2023
Very nice course with simple examples and explanations. I am eager to study more and put what I have learned about Python Pandas into practice. I have learned a lot about it. I appreciate you elucidating my ideas.
Vanix
November 2, 2023
Excellent detailed and understandable explanations about Mastering Python, Pandas, and Numpy for Absolute Beginners. Thank You, Surendra Varma!!!!
Martha
November 2, 2023
I learned a lot from this course, and the explanations are clear. Every subject is covered without a single detail being overlooked.
Mathew
November 2, 2023
I find all of these lectures to be very beneficial, and the videos do a great job of explaining the course material.
Linda
November 2, 2023
I am grateful for this course. The explanation is excellent, and having so much practice throughout the course is quite helpful. Thanks
Gabriella
October 5, 2023
A top-notch Pandas course. study of Pandas data using fresh datasets for each subject. It takes a lot of effort and difficult skills to evaluate and remember different Series and Dataframe approaches.

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3438306
udemy ID
8/21/2020
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3/20/2021
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