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10 Best Pandas Courses on Udemy

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If you are like me and ready to learn something new, these 10 courses will help get your skills up-to-date on the latest in software development. These courses cover everything from JavaScript to Python, taking an overall approach that is simple for beginners as well as advanced users alike. Check them out!

“10 Best Pandas Courses on Udemy” is a list of the best pandas courses that are available for free.

10 Best Pandas Courses on Udemy

Python Pandas is a data manipulation and analysis package written in Python. It offers data structures and operations for the Python programming language that are quick and simple to use. This library is used to compute time series and statistics. For labelled, multi-dimensional data sets, data frames are employed, whereas matrices are used for imbalanced and sparse datasets. In this post, we’ll show you the top ten Pandas courses available on Udemy.

Udemy’s Top 10 Pandas Courses

Pandas and Python for Data Analysis

Pandas and Python for Data Analysis

★★★★★

$19.99 in stock $16.00

as of 5:07 p.m. on January 10, 2022

With Python’s sophisticated pandas package, you can rapidly and simply analyze data. Beginners are welcome to use any datasets!

1641816436_572_10-Best-Pandas-Courses-on-Udemy

Boris Paskhaver is a software engineer, consultant, and author.

4.64 out of 5 (15571 reviews) There are 158302 students registered.

What Will I Discover?

  • Use Python’s famous “pandas” package to perform a variety of data operations such as grouping, pivoting, joining, and more!
  • Hundreds of methods and characteristics are available across a variety of pandas objects.
  • Have a good understanding of how to manipulate 1D, 2D, and 3D data sets.
  • Fix frequent problems with data sets that are broken or incomplete.

Requirements

  • Experience with Microsoft Excel or similar spreadsheet program (basic/intermediate) is required (common functions, vlookups, Pivot Tables etc)
  • Python programming language knowledge is required.
  • Knowledge of data types (strings, integers, floating points, booleans, and so on) is essential.

the intended audience

  • Business analysts and data analysts
  • Excel users who want to learn a more advanced data analysis program

Advanced Python Data Analysis with Pandas: The Ultimate Pandas Bootcamp

Advanced Python Data Analysis with Pandas: The Ultimate Pandas Bootcamp

★★★★★

$89.99 in stock $16.00

as of 5:07 p.m. on January 10, 2022

Master the powerful pandas library to analyze, manipulate and visualize data. More than 10 datasets & bonuses included!

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Andy Bek is a software consultant who created this piece.

4.72 out of 5 (739 reviews) There are 22718 students registered.

What Will I Discover?

  • Discover all there is to know about pandas – from the ground up!
  • Get a thorough grasp of pandas data structures by doing it yourself.
  • Any dataset may be transformed, cleaned, filtered, grouped by, pivoted, and otherwise manipulated.
  • Learn about random number generators, binary operators, memory pointers, and other computer science subjects.
  • Within pandas, practice reading data from the web, pickles, and Excel files.
  • In pandas and Python, you’ll discover and learn hundreds of methods, properties, and strategies for manipulating data.

Requirements

  • A computer (Windows, Macintosh, or Linux). That concludes our discussion.
  • It is not necessary to have any previous understanding of Python.
  • It is not necessary to have any previous understanding about pandas.

the intended audience

  • Anyone who wants to learn all there is to know about pandas and how to master them.
  • Anyone interested in learning python data analysis

The Complete Pandas Bootcamp 2022: Python Data Science

The Complete Pandas Bootcamp 2022: Python Data Science

★★★★★

$109.99 in stock $19.00

as of 5:07 p.m. on January 10, 2022

Pandas fully explained | 150+ Exercises | Must-have skills for Machine Learning & Finance | + Scikit-Learn and Seaborn

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Alexander Hagmann was the one who came up with the idea. Entrepreneurial Data Scientist | Finance Professional

18179 students registered with a rating of 4.66 (2528 reviews).

What Will I Discover?

  • Bring your Data Handling & Data Analysis skills to an outstanding level.
  • With Real-World Datasets, learn and apply all necessary Pandas algorithms and processes.
  • Pandas are taught using the NEW Version 1.x (the days of versions 0.x are over)
  • Prepare data for Machine Learning by importing, cleaning, and merging messy data.
  • Using Pandas, Scikit-Learn, and Seaborn, master a whole machine learning project from start to finish.
  • With Pandas, Matplotlib, and Seaborn, you can analyze, visualize, and comprehend your data.
  • Quizzes, 150+ Exercises, and Comprehensive Projects will help you practice and perfect your Pandas abilities.
  • Import financial/stock data from the web and use Pandas to evaluate it.
  • The most significant Pandas processes for Finance should be learned and mastered.
  • Learn how to make the most seamless transition from Version 0.x to Version 1.x.
  • Learn the fundamentals of Pandas and Numpy programming (Appendix)
  • With scipy, you can learn and understand essential statistical concepts.

Requirements

  • Anaconda must be installed and executed on a desktop computer (Windows, Mac, or Linux). The course will lead you through the process of downloading and installing the required free software.
  • A video-streaming internet connection is required.
  • Ideally, some Spreadsheet/Programming Fundamentals (not mandatory, the course guides you through the basics)

the intended audience

  • Anyone interested in learning more about Data Science. Everything revolves around Pandas.
  • Scientists that work with data who desire to increase their data manipulation and handling abilities.
  • Anyone who wants to move their Data Projects from Excel to more capable technologies (for example, in Research/Science)
  • Professionals in the investment/finance industry who have pushed Excel to its boundaries.

Bootcamp on Python for Data Science and Machine Learning

Bootcamp on Python for Data Science and Machine Learning

★★★★★

$15.00 in stock $84.99

as of 5:07 p.m. on January 10, 2022

NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more will be covered.

1641816439_908_10-Best-Pandas-Courses-on-Udemy

Jose Portilla, Pierian Data Inc.’s Head of Data Science, created this.

4.67 out of 5 (109152 reviews) There are 509846 students enrolled.

What Will I Discover?

  • Python is a great tool for data science and machine learning.
  • Spark is a programming language that may be used to analyze large amounts of data.
  • Algorithms for Machine Learning should be implemented.
  • Learn how to use NumPy to manipulate numerical data.
  • Learn how to analyze data using Pandas.
  • Matplotlib is a Python plotting library that you may learn how to use.
  • Learn how to make statistical graphs using Seaborn.
  • Plotly is a tool for creating interactive dynamic visuals.
  • For machine learning tasks, use SciKit-Learn.
  • Clustering using K-Means
  • Logistic Regression is a technique for predicting the outcome of
  • Regression Linear
  • Decision Trees and Random Forests
  • Spam Filters with Natural Language Processing
  • Networks of Neurons
  • Vector Support Machines (SVMs)

Requirements

  • familiarity with programming
  • Permissions to download files as an administrator

the intended audience

  • This course is meant for people with at least familiarity with programming

Data Manipulation in Python: A Crash Course in Pandas

Data Manipulation in Python: A Crash Course in Pandas

★★★★★

$99.99 in stock $18.00

as of 5:07 p.m. on January 10, 2022

Learn how to analyze and manipulate data with Python and Pandas. Python may be used to transform, clean, and integrate data.

1641816440_928_10-Best-Pandas-Courses-on-Udemy

Samuel Hinton is an astronomer, software engineer, and presenter.

1641816441_735_10-Best-Pandas-Courses-on-Udemy

Kirill Eremenko is a data scientist.

1641816441_25_10-Best-Pandas-Courses-on-Udemy

Helping Scientists that work with data Succeed was created by the Ligency I Team.

4.65 out of 5 (1161 reviews) There are 34098 students registered.

What Will I Discover?

  • Data may be visualized using a variety of techniques, including histograms and dimensionality reduction.
  • Data frames may be created, saved, and serialized in and out of a variety of formats.
  • Data may be readily cleaned and formatted.
  • Missing values are detected and intelligently filled.
  • Data should be grouped, aggregated, and summarized.
  • Combine facts from several sources to create a stunning whole.
  • Like a pro, pivot and cross-tabulate data.
  • Time series data should be interspliced, summarized, and investigated.
  • Work with data from multiple time zones in a seamless manner.
  • Learn how to avoid the main mistakes and traps that novices fall into.

Requirements

  • Python expertise is required.

the intended audience

  • Python students who wish to learn how to work with data in a professional setting.
  • Aspiring data analysts and scientists who want to expand their knowledge base.
  • People who would rather solve fascinating challenges than spend time formatting data.
  • Programming veterans who wish to explore what new methodologies and industry-leading technologies are available to them in the next decade.

2022 Python for Machine Learning & Data Science Masterclass

2022 Python for Machine Learning & Data Science Masterclass

★★★★★

$15.00 in stock $84.99

as of 5:07 p.m. on January 10, 2022

Python is a great way to learn about data science and machine learning. Numpy, Pandas, Matplotlib, Scikit-Learn, and more are all included!

1641816442_695_10-Best-Pandas-Courses-on-Udemy

Jose Portilla, Pierian Data Inc.’s Head of Data Science, created this.

4.71 out of 5 (5680 reviews) There are 50636 students registered.

What Will I Discover?

  • Master the fundamentals of data science.
  • Learn all there is to know about Machine Learning.
  • Simulate real-life scenarios and data reporting.
  • NumPy is a Python library for numerical computing.
  • Use real-world case studies to conduct feature engineering.
  • Pandas is a Python library for data manipulation.
  • To forecast classes, create supervised machine learning algorithms.
  • Learn how to use Matplotlib in Python to build completely customizable data visualizations.
  • Create machine learning techniques for predicting continuous values using regression.
  • Learn how to use Seaborn to make stunning statistical charts in Python.
  • Create a contemporary resume portfolio with data science and machine learning work.
  • Learn how to use sophisticated machine learning algorithms using Scikit-learn.
  • The Anaconda data science stack environment allows you to get up and running fast.
  • Learn how to use best practices while working with real-world data sets.
  • Understand the whole machine learning lifecycle product pipeline.
  • Learn how to make interactive APIs out of your machine learning models.

Requirements

  • Python Fundamentals (capable of functions)

the intended audience

  • Python programmers that want to learn about Machine Learning and Data Science.

Python / Pandas ETL pipelines that are ready for production

Python / Pandas ETL pipelines that are ready for production

★★★★★

$15.00 in stock $84.99

as of 5:07 p.m. on January 10, 2022

Learn how to construct professional ETL pipelines using Python and Data Engineering best practices.

1641816443_30_10-Best-Pandas-Courses-on-Udemy

Jan Schwarzlose is a data engineer who loves what he does.

4.56 out of 5 (170 reviews) There are 1565 students registered.

What Will I Discover?

  • How to create professional Python ETL pipelines.
  • The steps to writing production-ready Python code are outlined here.
  • In Data Engineering, how to use functional programming.
  • How to create an object-oriented programming design that works.
  • How to control jobs using a meta file.
  • Python coding best practices in ETL/Data Engineering.
  • How to use Python to create a pipeline that extracts data from one AWS S3 source, transforms it, and loads it into another AWS S3 destination.

Requirements

  • It’s a plus if you know how to use Python and Pandas.
  • Knowledge with ETL and AWS S3 is a plus.

the intended audience

  • Data engineers, scientists, and developers that want to construct professional Python data pipelines that are suitable for production.
  • Everyone who is interested in creating production-ready data pipelines in Python.

Complete Machine Learning & Data Science Bootcamp 2022

Complete Machine Learning & Data Science Bootcamp 2022

★★★★★

$15.00 in stock $84.99

as of 5:07 p.m. on January 10, 2022

Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!

1641816444_75_10-Best-Pandas-Courses-on-Udemy

Andrei Neagoie is the founder of zerotomastery.io and a senior software developer.

1641816444_106_10-Best-Pandas-Courses-on-Udemy

Daniel Bourke is a machine learning engineer, writer, and video producer.

1641816445_470_10-Best-Pandas-Courses-on-Udemy

Zero To Mastery was in charge of the design. Learn skills that are in high demand. Obtain Employment.

55706 students registered with a rating of 4.7 (9310 reviews).

What Will I Discover?

  • Learn how to become a Data Scientist and how to acquire a job as one.
  • Learn how to apply Machine Learning in the workplace.
  • Deep Learning, Transfer Learning and Networks of Neurons using the latest Tensorflow 2.0
  • Make advantage of the same contemporary technologies as Google, Apple, Amazon, and Facebook do.
  • Projects in Data Science should be presented to management and stakeholders.
  • Find out the Machine Learning model to use for each issue category.
  • Case studies and projects from real-life situations to help students learn how things are done in the real world.
  • Learn the best practices for Data Science Workflow.
  • Algorithms for Machine Learning should be implemented.
  • Python 3 is the most recent version, therefore you’ll be able to learn how to program in it.
  • How can you make your machine learning models better?
  • Learn how to prepare data for analysis, clean data, and analyze massive amounts of data.
  • Create a portfolio of your work to include on your CV.
  • Setup of a Data Science and Machine Learning Developer Environment
  • Learning: Supervised and Unsupervised
  • Time Series Data and Machine Learning
  • Use data visualization tools like Matplotlib and Seaborn to explore huge datasets.
  • Pandas may be used to explore big databases and handle data.
  • Learn how to utilize NumPy in Machine Learning.
  • To apply for work in the field, you’ll need a portfolio of Data Science and Machine Learning projects, complete with full code and notebooks.
  • Learn how to utilize the popular Scikit-learn library in your projects.
  • Learn about Data Engineering and how industry technologies like as Hadoop, Spark, and Kafka are employed.
  • Learn how to use classification and regression modeling to solve problems.
  • Learn how to use Transfer Learning to your advantage.

Requirements

  • There is no need for previous experience (not even Math and Statistics). We begin with the fundamentals.
  • A computer with an internet connection (Linux, Windows, or Mac).
  • There are two pathways for people who know how to program and those who don’t.
  • You may use all of the tools in this course for free.

the intended audience

  • Anyone who wants to study Machine Learning, Data Science, and Python but has no prior experience (or is a beginner/junior).
  • You’re a programmer who wants to improve your value by learning more about Data Science and Machine Learning.
  • Anyone interested in learning about these issues from industry specialists who have not only taught but also worked in the area
  • You’re seeking for a single course that will teach you all you need to know about machine learning and data science while also getting you up to speed with the industry.
  • You want to master the foundations and be able to genuinely comprehend the subjects rather than simply watching someone code on your computer for hours on end without fully understanding it.
  • You want to learn to use Deep learning and Networks of Neurons with your projects
  • You want to use strong Machine Learning techniques to create value to your own firm or the organization where you work.

Master 12 Advanced Projects in Python Data Science with Pandas

Master 12 Advanced Projects in Python Data Science with Pandas

★★★★★

$15.00 in stock $84.99

as of 5:07 p.m. on January 10, 2022

Work with Pandas, SQL Databases, JSON, Web APIs & more to master your real-world Machine Learning & Finance Projects

1641816446_166_10-Best-Pandas-Courses-on-Udemy

Alexander Hagmann was the one who came up with the idea. Entrepreneurial Data Scientist | Finance Professional

4.63 out of 5 (395 reviews) There are 5200 students registered.

What Will I Discover?

  • You won’t find Advanced Real-World Data Workflows with Pandas in any other course.
  • Parallel work with Pandas and SQL databases (getting the best out of two worlds)
  • Importing big datasets from the web using APIs, JSON, and Pandas
  • Taking Pandas to Their Limits (and beyond…)
  • Predicting Real Estate Prices Using Machine Learning
  • Finance Applications: Backtesting & Forward Testing Investment Strategies + Index Tracking
  • Pandas for Feature Engineering, Standardization, Dummy Variables, and Sampling
  • Working with huge datasets (millions of rows/columns) is a challenge.
  • Working with Datasets That Are Completely Messy/Unclean (the standard case in real-world)
  • Using Pandas to handle stringified and nested JSON data
  • Using SQL to load data from databases into Pandas and vice versa
  • Data loading from JSON into Pandas and the other way around
  • Pandas for Web Scraping
  • Cleaning large & messy Datasets (millions of rows/columns)
  • Importing huge datasets from the web using APIs and Python Wrapper Packages
  • Explanatory Data Analysis with Large Datasets from the Real World
  • Matplotlib and Seaborn for Advanced Visualizations

Requirements

  • Python should be familiar to you (Standard Library, Numpy, Matplotlib)
  • You should have already dealt with pandas (at least you should know the basics)
  • Anaconda must be installed and executed on a desktop computer (Windows, Mac, or Linux). The course will lead you through the process of downloading and installing the required free software.
  • A high-definition video-streaming internet connection.
  • It would be fantastic if you have some high school arithmetic abilities (not mandatory, but it helps)

the intended audience

  • Anyone who is serious about mastering vast, dirty, and filthy datasets.
  • Everyone who wants to advance their abilities from “I can write some Pandas code” to “I can manage my real-world Pandas Data Projects”
  • Scientists that work with data
  • Professionals in Machine Learning
  • Finance & Investment Professionals
  • Researchers

Complete Data Analysis with Pandas: A Python Tutorial

Complete Data Analysis with Pandas: A Python Tutorial

★★★★★

$99.99 in stock $18.00

as of 5:07 p.m. on January 10, 2022

Learn in demand skill Pandas, Sci-kit Learn, Numpy For Data Science & Machine Learning : Seaborn | MatplotLib | Python

1641816447_510_10-Best-Pandas-Courses-on-Udemy

Created by: Ankit Mistry Software Developer | I want to Improve your life & Income.

1641816447_784_10-Best-Pandas-Courses-on-Udemy

Created by: Data Science & Machine Learning Academy Helping people to analyze data

4.58 out of 5 (682 reviews) There are 12308 students registered.

What Will I Discover?

  • Add one of these in-demand skills to your resume: Pandas for data analysis
  • Python installation in an Anaconda environment
  • A crash course in Python will refresh your knowledge of the language’s fundamentals.
  • Pandas is the most popular Python data analysis package.
  • Series, Data Frame, and Panel are three significant data structures in pandas.
  • Learn to analyze data in one, two, and three dimensions.
  • How can I organize my data for analysis?
  • How to Use Pandas Functions to Handle Text Data
  • Analyze data that has a multi-level index.
  • NumPy is a Python library for manipulating arrays and matrices.
  • Quizzes will help you master pandas.
  • Matplotlib and Seaborn Library for Data Visualization
  • Importing data from a variety of different sources
  • Scikit-learn is used to create a complete Machine Learning workflow.

Requirements

  • MAC/Windows/Linux/Windows machine
  • The fundamentals of programming ideas

the intended audience

  • Beginner Python programmer with an interest in Data Science This is not for seasoned data scientists.
  • Anyone interested in pursuing a career in data science or data analytics
  • Anyone interested in learning data analysis using the Python programming language
  • Excel user looking to improve their data analysis abilities.

Recommendation from Us

1641816438_462_10-Best-Pandas-Courses-on-Udemy

The Complete Pandas Bootcamp 2022: Python Data Science

★★★★☆

$109.9 $119

With 34 hours of video instruction, 150+ exercises, and two huge and detailed Final Projects to test your abilities, this is the most complete Pandas Bootcamp available! This course has one goal: to help you improve your data handling abilities so you may pursue a career in Data Science and Machine Learning.

The “pandas crash course” is a 10-part tutorial on the basics of pandas. It’s created by DataCamp and has been rated 4.5 out of 5 stars.

Frequently Asked Questions

What is the best pandas course?

A: This is hard to say for sure, because each course has their own pros and cons. Its best to just try them out yourself!

Which udemy Python course is the best?

A: There is no best udemy course. However, this python course will teach you the basics of Python and how to program in it.

Are pandas worth learning?

A: Pandas are worth learning because they have some unusual traits such as their diet and mating habits. They should also be considered one of the most endangered species on Earth, with a total population size of less than 2,000 individuals.

Related Tags

  • best pandas course reddit
  • pandas: coursera
  • advanced pandas course
  • learn data analysis using pandas and python
  • python data analysis udemy
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