Data Manipulation in Python: Master Python, Numpy & Pandas

Learn Python, NumPy & Pandas for Data Science: Master essential data manipulation for data science in python

4.27 (2145 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Data Manipulation in Python: Master Python, Numpy & Pandas
155,184
students
4 hours
content
Jan 2024
last update
$64.99
regular price

What you will learn

Learn to use Pandas for Data Analysis

Learn to work with numerical data in Python

Learn statistics and math with Python

Learn how to code in Jupyter Notebook

Learn how to install packages in Python

Description

When it comes to being attractive, data scientists are already there. In a highly competitive job market, it is tough to keep them after they have been hired. People with a unique mix of scientific training, computer expertise, and analytical abilities are hard to find.

Like the Wall Street "quants" of the 1980s and 1990s, modern-day data scientists are expected to have a similar skill set. People with a background in physics and mathematics flocked to investment banks and hedge funds in those days because they could come up with novel algorithms and data methods.


That being said, data science is becoming one of the most well-suited occupations for success in the twenty-first century. It is computerized, programming-driven, and analytical in nature. Consequently, it comes as no surprise that the need for data scientists has been increasing in the employment market over the last several years.

The supply, on the other hand, has been quite restricted. It is challenging to get the knowledge and abilities required to be recruited as a data scientist.

Lots of resources for learning Python are available online. Because of this, students frequently get overwhelmed by Python's high learning curve.


It's a whole new ball game in here! Step-by-step instruction is the hallmark of this course. Throughout each subsequent lesson, we continue to build on what we've previously learned. Our goal is to equip you with all the tools and skills you need to master Python, Numpy & Pandas.

You'll walk away from each video with a fresh idea that you can put to use right away!

All skill levels are welcome in this course, and even if you have no prior programming or statistical experience, you will be able to succeed!

Content

Python Quick Refresher

Introduction to Python
Setting up Python
What is Jupyter?
Anaconda Installation: Windows, Mac & Ubuntu
How to implement Python in Jupyter?
Managing Directories in Jupyter Notebook
Input/Output
Working with different datatypes
Variables
Arithmetic Operators
Comparison Operators
Logical Operators
Conditional statements
Loops
Sequences: Lists
Sequences: Dictionaries
Sequences: Tuples
Functions: Built-in Functions
Functions: User-defined Functions

Essential python libraries for data science

Installing Libraries
Importing Libraries
Pandas Library for Data Science
NumPy Library for Data Science
Pandas vs NumPy
Matplotlib Library for Data Science
Seaborn Library for Data Science

Fundamental NumPy Properties

Introduction to NumPy arrays
Creating NumPy arrays
Indexing NumPy arrays
Array shape
Iterating Over NumPy Arrays

Mathematics for Data Science

Basic NumPy arrays: zeros()
Basic NumPy arrays: ones()
Basic NumPy arrays: full()
Adding a scalar
Subtracting a scalar
Multiplying by a scalar
Dividing by a scalar
Raise to a power
Transpose
Element wise addition
Element wise subtraction
Element wise multiplication
Element wise division
Matrix multiplication
Statistics

Python Pandas DataFrames & Series

What is a Python Pandas DataFrame?
What is a Python Pandas Series?
DataFrame vs Series
Creating a DataFrame using lists
Creating a DataFrame using a dictionary
Loading CSV data into python
Changing the Index Column
Inplace
Examining the DataFrame: Head & Tail
Statistical summary of the DataFrame
Slicing rows using bracket operators
Indexing columns using bracket operators
Boolean list
Filtering Rows
Filtering rows using & and | operators
Filtering data using loc()
Adding and deleting rows and columns
Sorting Values
Exporting and saving pandas DataFrames
Concatenating DataFrames
groupby()

Reviews

Juan
September 23, 2023
Hay algunos puntos que lo trata muy por encima, pero para saber conceptos genéricos y darle importancia a lo principal está bastante aceptable
Sonam
September 15, 2023
I would recommend this course to everyone aspiring to learn python. Please dont waste time and just enroll to this course.
Schudibu
September 7, 2023
There should be separate courses for Windows, Ubuntu and Mac or marks where to jump to if you're not interested in watching all contents for 3 OS versions. Some of the commands for Windows diddn't work as indicated.
Utkarsh
August 30, 2023
Best Course Alert!! Best ever course for beginners who want to begin their journey in Python for data manipulation.
Moritz
August 15, 2023
Seems more like a crash course for absolute Python beginners than for actually having a deep dive into data science
Andre
August 7, 2023
This is the first Udemy course I completed 100%, so thanks for this material. I particularly enjoyed how the system is set up with a quick review of some Python concepts, and then some dive into some new material. With that being said, this is an introductory course that can be fused as a starting point. I would advise starting from here if you are new to this and moving on to something more challenging after you finish.
Mateusz
July 1, 2023
It was a decent introductory course, though it was only grazing the topics - a more in-depth look in most of the topics is required if one is to make the knowledgle useful. Also, the speaker was not very good - he did not understand the topic and was simply reading the script. Decent for a complete beginer to the field, completely useless for someone with even a bit of practice.
Vidura
March 6, 2023
Highly recommended. The course is a perfect balance between theory and coding. Starts with very basics. purely worth it.
Shivam
March 3, 2023
Nice experience, actually first course I've seen that doesn't beats around bushes and directly starts teaching
Johannes
February 13, 2023
Well it was a nice refresher but you can clearly tell the speaker has pretty much nothing to do with the presentation itself. Just reading a script and overemphasizing it. I mean am I the only one who actually dislikes it when people try to make everything sound ecessively positive? I wonder what audience this is aiming for. Well I for myself prefere to listen to a normal presentation. To people who confidentally know their stuff. In short: - weird emphasizing - shots were not retaken after a mistake which is clearly a quality criterion + nice basic introduction to the libraries not bad but not good either
Mehul
January 6, 2023
I actually learnt data manipulation by this course. Thank you so much for this wonderful designed course. Very helpful.
Daleep
January 4, 2023
A previous Python course helped me to familiarise with PyCharm IDE. Do I have to use Jupyter Notebook to follow this course?
Kaushik
December 10, 2022
this course gives intro and some important libraries, functions and main methods that we regularly use in python
Mohd
November 9, 2022
The Course is Extremely helpful to get started with the basics of numpy, pandas, seaborn, matplotlib. Though if you are looking for deep knowledge about these libraries then it's not the course for you The course have sufficiently enough content to get started with these libraries for beginners . With short and precise videos, it helped a lot to get my basics clear in many aspects
Luis
September 27, 2022
Thank you very much Meta Brains, it is an incredible course, it gives you the basic and necessary knowledge to start learning data science, all the chapters are very well explained. The methods, tips and Python functions used are very useful. I would like you to make a continuation to continue learning how to use Pandas and Numpy.

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4324528
udemy ID
9/28/2021
course created date
11/27/2021
course indexed date
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