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Python Pandas is a library for data manipulation and analysis in python. It provides fast and easy to use data structures and operations for the Python programming language. This library is used for time series and statistical computing. Data frames are used for labelled, multi-dimensional data sets, while matrices can be used for unbalanced and sparse datasets. In this article, we share with you the 10 best Pandas courses on Udemy.
10 Best Pandas Courses on Udemy
Data Analysis with Pandas and Python
★★★★★
$17.00 in stock
Udemy.com
as of July 18, 2024 5:19 am
Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome!
Created by: Boris Paskhaver
Software Engineer | Consultant | Author
Software Engineer | Consultant | Author
Rating:4.64 (15571reviews)
158302students enrolled
What Will I Learn?
- Perform a multitude of data operations in Python's popular "pandas" library including grouping, pivoting, joining and more!
- Learn hundreds of methods and attributes across numerous pandas objects
- Possess a strong understanding of manipulating 1D, 2D, and 3D data sets
- Resolve common issues in broken or incomplete data sets
Requirements
- Basic / intermediate experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc)
- Basic experience with the Python programming language
- Strong knowledge of data types (strings, integers, floating points, booleans) etc
Target audience
- Data analysts and business analysts
- Excel users looking to learn a more powerful software for data analysis
The Ultimate Pandas Bootcamp: Advanced Python Data Analysis
★★★★★
$14.00 in stock
Udemy.com
as of July 18, 2024 5:19 am
Master the powerful pandas library to analyze, manipulate and visualize data. More than 10 datasets & bonuses included!
Created by: Andy Bek
Software Consultant
Software Consultant
Rating:4.72 (739reviews)
22718students enrolled
What Will I Learn?
- Learn everything there is to know about pandas - from absolute scratch!
- Gain a deep and hands-on understanding of pandas data structures.
- Transform, clean, filter, groupby, pivot, and otherwise manipulate a any dataset.
- Understand related computer science topics like random-number generators, binary operators, memory pointers, and more!
- Practice reading data from the web, pickles, Excel files right within pandas.
- Discover and learn hundreds of methods, attributes, and techniques to manipulate data in pandas and python.
Requirements
- A computer (Windows/Mac/Linux). That's all!
- No prior knowledge of python is required.
- No prior knowledge of pandas is required.
Target audience
- Anyone looking to deeply understand and master pandas
- Anyone interested in mastering data analysis with python
The Complete Pandas Bootcamp 2022: Data Science with Python
★★★★★
$17.00 in stock
Udemy.com
as of July 18, 2024 5:19 am
Pandas fully explained | 150+ Exercises | Must-have skills for Machine Learning & Finance | + Scikit-Learn and Seaborn
Created by: Alexander Hagmann
Data Scientist | Finance Professional | Entrepreneur
Data Scientist | Finance Professional | Entrepreneur
Rating:4.66 (2528reviews)
18179students enrolled
What Will I Learn?
- Bring your Data Handling & Data Analysis skills to an outstanding level.
- Learn and practice all relevant Pandas methods and workflows with Real-World Datasets
- Learn Pandas based on NEW Version 1.x (the days of versions 0.x are over)
- Import, clean, and merge messy Data and prepare Data for Machine Learning
- Master a complete Machine Learning Project A-Z with Pandas, Scikit-Learn, and Seaborn
- Analyze, visualize, and understand your Data with Pandas, Matplotlib, and Seaborn
- Practice and master your Pandas skills with Quizzes, 150+ Exercises, and Comprehensive Projects
- Import Financial/Stock Data from Web Sources and analyze them with Pandas
- Learn and master the most important Pandas workflows for Finance
- Learn how to best transition from Versions 0.x to new Version 1.x
- Learn the Basics of Pandas and Numpy Coding (Appendix)
- Learn and master important Statistical Concepts with scipy
Requirements
- A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
- An internet connection capable of streaming videos.
- Ideally some Spreadsheet Basics/Programming Basics (not mandatory, the course guides you through the basics)
Target audience
- Everyone who want to step into Data Science. Pandas is Key to everything.
- Data Scientists who want to improve their Data Handling/Manipulation skills.
- Everyone who want to switch Data Projects from Excel to more powerful tools (e.g. in Research/Science)
- Investment/Finance Professionals who reached the limits of Excel.
Python for Data Science and Machine Learning Bootcamp
★★★★★
$16.00 in stock
Udemy.com
as of July 18, 2024 5:19 am
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
Created by: Jose Portilla
Head of Data Science, Pierian Data Inc.
Head of Data Science, Pierian Data Inc.
Rating:4.67 (109152reviews)
509846students enrolled
What Will I Learn?
- Use Python for Data Science and Machine Learning
- Use Spark for Big Data Analysis
- Implement Machine Learning Algorithms
- Learn to use NumPy for Numerical Data
- Learn to use Pandas for Data Analysis
- Learn to use Matplotlib for Python Plotting
- Learn to use Seaborn for statistical plots
- Use Plotly for interactive dynamic visualizations
- Use SciKit-Learn for Machine Learning Tasks
- K-Means Clustering
- Logistic Regression
- Linear Regression
- Random Forest and Decision Trees
- Natural Language Processing and Spam Filters
- Neural Networks
- Support Vector Machines
Requirements
- Some programming experience
- Admin permissions to download files
Target audience
- This course is meant for people with at least some programming experience
Data Manipulation in Python: A Pandas Crash Course
★★★★★
$13.00 in stock
Udemy.com
as of July 18, 2024 5:19 am
Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.
Created by: Samuel Hinton
Astrophysicist, Software Engineer and Presenter
Astrophysicist, Software Engineer and Presenter
Created by: Kirill Eremenko
Data Scientist
Data Scientist
Created by: Ligency I Team
Helping Data Scientists Succeed
Helping Data Scientists Succeed
Rating:4.65 (1161reviews)
34098students enrolled
What Will I Learn?
- Visualise data using methods from histograms to dimensionality reduction.
- Create, save and serialise data frames in and out of multiple formats.
- Clean and format data easily.
- Detect and intelligently fill missing values.
- Group, aggregate and summarise your data.
- Merge data sources into a beautiful whole.
- Pivot and cross-tabulate data like a pro.
- Intersplice, summarise and investigate time series data.
- Seamlessly work with data from different time zones.
- Learn the common pitfalls and traps that ensnare beginners and how to avoid them.
Requirements
- Basic knowledge of Python
Target audience
- Python students that want to learn how to manipulate data professionally.
- Aspiring data analysts and scientists looking to upgrade their skillset.
- People who would prefer to spend more time solving interesting problems than formatting data.
- Old hands at programming that want to see what new methods and industry-leading tools are at their fingertips in the new decade.
2022 Python for Machine Learning & Data Science Masterclass
★★★★★
$19.00 in stock
Udemy.com
as of July 18, 2024 5:19 am
Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!
Created by: Jose Portilla
Head of Data Science, Pierian Data Inc.
Head of Data Science, Pierian Data Inc.
Rating:4.71 (5680reviews)
50636students enrolled
What Will I Learn?
- Master critical data science skills.
- Understand Machine Learning from top to bottom.
- Replicate real-world situations and data reports.
- Learn NumPy for numerical processing with Python.
- Conduct feature engineering on real world case studies.
- Learn Pandas for data manipulation with Python.
- Create supervised machine learning algorithms to predict classes.
- Learn Matplotlib to create fully customized data visualizations with Python.
- Create regression machine learning algorithms for predicting continuous values.
- Learn Seaborn to create beautiful statistical plots with Python.
- Construct a modern portfolio of data science and machine learning resume projects.
- Learn how to use Scikit-learn to apply powerful machine learning algorithms.
- Get set-up quickly with the Anaconda data science stack environment.
- Learn best practices for real-world data sets.
- Understand the full product workflow for the machine learning lifecycle.
- Explore how to deploy your machine learning models as interactive APIs.
Requirements
- Basic Python Knowledge (capable of functions)
Target audience
- Beginner Python developers curious about Machine Learning and Data Science with Python
Writing production-ready ETL pipelines in Python / Pandas
★★★★★
$13.00 in stock
Udemy.com
as of July 18, 2024 5:19 am
Learn how to write professional ETL pipelines using best practices in Python and Data Engineering.
Created by: Jan Schwarzlose
Data Engineer aus Leidenschaft
Data Engineer aus Leidenschaft
Rating:4.56 (170reviews)
1565students enrolled
What Will I Learn?
- How to write professional ETL pipelines in Python.
- Steps to write production level Python code.
- How to apply functional programming in Data Engineering.
- How to do a proper object oriented code design.
- How to use a meta file for job control.
- Coding best practices for Python in ETL/Data Engineering.
- How to implement a pipeline in Python extracting data from an AWS S3 source, transforming and loading the data to another AWS S3 target.
Requirements
- Basic Python and Pandas knowledge is desirable.
- Basic ETL and AWS S3 knowledge is desirable.
Target audience
- Data engineers, scientists and developers who want to write professional production-ready data pipelines in Python.
- Everyone who is interested in writing data pipelines in Python that are ready for production.
Complete Machine Learning & Data Science Bootcamp 2022
★★★★★
$17.00 in stock
Udemy.com
as of July 18, 2024 5:19 am
Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!
Created by: Andrei Neagoie
Founder of zerotomastery.io / Senior Software Developer
Founder of zerotomastery.io / Senior Software Developer
Created by: Daniel Bourke
Machine Learning Engineer/Writer/Video maker
Machine Learning Engineer/Writer/Video maker
Created by: Zero To Mastery
Learn In-Demand Skills. Get Hired.
Learn In-Demand Skills. Get Hired.
Rating:4.7 (9310reviews)
55706students enrolled
What Will I Learn?
- Become a Data Scientist and get hired
- Master Machine Learning and use it on the job
- Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0
- Use modern tools that big tech companies like Google, Apple, Amazon and Facebook use
- Present Data Science projects to management and stakeholders
- Learn which Machine Learning model to choose for each type of problem
- Real life case studies and projects to understand how things are done in the real world
- Learn best practices when it comes to Data Science Workflow
- Implement Machine Learning algorithms
- Learn how to program in Python using the latest Python 3
- How to improve your Machine Learning Models
- Learn to pre process data, clean data, and analyze large data.
- Build a portfolio of work to have on your resume
- Developer Environment setup for Data Science and Machine Learning
- Supervised and Unsupervised Learning
- Machine Learning on Time Series data
- Explore large datasets using data visualization tools like Matplotlib and Seaborn
- Explore large datasets and wrangle data using Pandas
- Learn NumPy and how it is used in Machine Learning
- A portfolio of Data Science and Machine Learning projects to apply for jobs in the industry with all code and notebooks provided
- Learn to use the popular library Scikit-learn in your projects
- Learn about Data Engineering and how tools like Hadoop, Spark and Kafka are used in the industry
- Learn to perform Classification and Regression modelling
- Learn how to apply Transfer Learning
Requirements
- No prior experience is needed (not even Math and Statistics). We start from the very basics.
- A computer (Linux/Windows/Mac) with internet connection.
- Two paths for those that know programming and those that don't.
- All tools used in this course are free for you to use.
Target audience
- Anyone with zero experience (or beginner/junior) who wants to learn Machine Learning, Data Science and Python
- You are a programmer that wants to extend their skills into Data Science and Machine Learning to make yourself more valuable
- Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field
- You’re looking for one single course to teach you about Machine learning and Data Science and get you caught up to speed with the industry
- You want to learn the fundamentals and be able to truly understand the topics instead of just watching somebody code on your screen for hours without really “getting it”
- You want to learn to use Deep learning and Neural Networks with your projects
- You want to add value to your own business or company you work for, by using powerful Machine Learning tools.
Python Data Science with Pandas: Master 12 Advanced Projects
★★★★★
$15.00 in stock
Udemy.com
as of July 18, 2024 5:19 am
Work with Pandas, SQL Databases, JSON, Web APIs & more to master your real-world Machine Learning & Finance Projects
Created by: Alexander Hagmann
Data Scientist | Finance Professional | Entrepreneur
Data Scientist | Finance Professional | Entrepreneur
Rating:4.63 (395reviews)
5200students enrolled
What Will I Learn?
- Advanced Real-World Data Workflows with Pandas you won´t find in any other Course.
- Working with Pandas and SQL-Databases in parallel (getting the best out of two worlds)
- Working with APIs, JSON and Pandas to import large Datasets from the Web
- Bringing Pandas to its Limits (and beyond...)
- Machine Learning Application: Predicting Real Estate Prices
- Finance Applications: Backtesting & Forward Testing Investment Strategies + Index Tracking
- Feature Engineering, Standardization, Dummy Variables and Sampling with Pandas
- Working with large Datasets (millions of rows/columns)
- Working with completely messy/unclean Datasets (the standard case in real-world)
- Handling stringified and nested JSON Data with Pandas
- Loading Data from Databases (SQL) into Pandas and vice versa
- Loading JSON Data into Pandas and vice versa
- Web-Scraping with Pandas
- Cleaning large & messy Datasets (millions of rows/columns)
- Working with APIs and Python Wrapper Packages to import large Datasets from the Web
- Explanatory Data Analysis with large real-world Datasets
- Advanced Visualizations with Matplotlib and Seaborn
Requirements
- You should be familiar with Python (Standard Library, Numpy, Matplotlib)
- You should have worked with Pandas before (at least you should know the basics)
- A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
- An internet connection capable of streaming HD videos.
- Some high school level math skills would be great (not mandatory, but it helps)
Target audience
- Everyone who really want to master large, messy and unclean Datasets.
- Everyone who want to improve skills from "I can write some Pandas Code" to "I can master my real-word Data Projects with Pandas"
- Data Scientists
- Machine Learning Professionals
- Finance & Investment Professionals
- Researchers
Complete Data Analysis with Pandas : Hands-on Pandas Python
★★★★★
$16.00 in stock
Udemy.com
as of July 18, 2024 5:19 am
Learn in demand skill Pandas, Sci-kit Learn, Numpy For Data Science & Machine Learning : Seaborn | MatplotLib | Python
Created by: Ankit Mistry
Software Developer | I want to Improve your life & Income.
Software Developer | I want to Improve your life & Income.
Created by: Data Science & Machine Learning Academy
Helping people to analyze data
Helping people to analyze data
Rating:4.58 (682reviews)
12308students enrolled
What Will I Learn?
- Update your resume with one of the in demand skill : Data analysis Pandas
- Setting up Python in anaconda environment
- Refresh Python basics with crash course
- Learn Most demanded python data analysis library : Pandas
- Three important data structure of pandas : Series, Data Frame, Panel
- Learn how to analyse one, two and three dimensional data
- How to group Data for analysis
- How to deal with Text Data with Pandas Functions
- Analyse data having multiple level index.
- Array and Matrix manipulation Library NumPy
- Master pandas with quizzes.
- Data Visualization Matplotlib and Seaborn Library
- Importing data from various different kinds of sources
- Complete Machine Learning work flow implementation with Scikit-learn
Requirements
- Windows/Linux/MAC machine
- Basic idea about Programming concepts
Target audience
- Beginner Python developer who is curious about Data Science, Not for experienced Data Scientist
- Anyone who want to make career in Data Science, Data analytics
- Anyone wants to learn data analysis with python language
- Excel user who wants to enhance data analysis skills.
Our Recommendation
The Complete Pandas Bootcamp 2022: Data Science with Python
$19 $109.9
most comprehensive Pandas Bootcamp with 34 hours of video content, 150+ exercises, and two large and comprehensive Final Projects to test your skills! This course has one goal: Bringing your data handling skills to the next level to build your career in Data Science and Machine Learning.
