11+ Best Udemy Python Courses & Certifications Online [2020]

8 min read
  1. Complete Python Bootcamp: Go from zero to hero in Python 3
  2. Machine Learning A-Z™: Hands-On Python & R In Data Science
  3. Python for Data Science and Machine Learning Bootcamp
  4. Learning Python for Data Analysis and Visualization
  5. Python for Absolute Beginners
  6. Python for Finance: Investment Fundamentals & Data Analytics
  7. Python for Financial Analysis and Algorithmic Trading
  8. Python A-Z™: Python For Data Science With Real Exercises!
  9. Data Science: Deep Learning in Python
  10. Python for Data Structures, Algorithms, and Interviews!
  11. Data Science: Natural Language Processing (NLP) in Python
Udemy Python Courses

A team of 11+ global programming experts have done in-depth research to come up with this compilation of Best Udemy Python Courses, Certificates, Tutorial, Training and Classes available online for 2020. These python courses are suitable for beginners as well as experts. This compilation has helped over 3500+ students and employee already and is updated every 15 days.

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Best Udemy Python Course & Certifications 2020

Complete Python Bootcamp: Go from zero to hero in Python 3

This online Python course will teach you the fundamentals, as well as advanced concepts of Python. This course will build a complete understanding of Python from the ground up. This python course covers Python setup, Object, Data Structure, Statements, Methods, Functions, OOP concepts, Package, Errors, Exceptions Handling, Decorators, Generators, Advanced Concepts, Projects and many more concept.

The Complete Python Bootcamp: Go from zero to hero in Python 3 – course is taught by Jose Portilla, Head of Data Science, Pierian Data Inc. and online instructor, and it is one of the best python course on Udemy.

Key Skills & USP

  • Learn to use Python 2 and 3 professionally
  • Advanced Python features and complex topics
  • Get an understanding of how to create GUIs in the Jupyter Notebook
  • Create games with Python, like Tic Tac Toe and Blackjack
  • Use both the Jupyter Notebook and create .py files
  • Get full lifetime access to 17 articles, 19 coding exercises and Certificate of Completion

This course is for Beginners, Programmers switching languages to Python and Intermediate Python programmers who want to level up their skills.

Rating: 4.5/5
Students Enrolled: 1,005,034
Duration: 24 hours


Machine Learning A-Z™: Hands-On Python & R In Data Science

This python online course on Machine Learning has been designed by two professional Data Scientists so that they can share the knowledge and help you learn complex theory, algorithms and coding libraries in a simple way. This python course covers data processing in Python & R, connect Python to SQL, Random forests, K mean Clustering, Neural Nets, Deep learning, Decision Tree, Logistic Regression and many more concept.

Machine Learning A-Z™: Hands-On Python & R In Data Science course is taught by Kirill Eremenko (Data Scientist) and Hadelin de Ponteves (AI Entrepreneur) and it is one of the best python course on Machine Learning.

Key Skills & USP

  • Master Machine Learning on Python & R
  • Learn to make robust Machine Learning models and accurate predictions
  • Learn how to use Numpy, Seaborn, TensorFlow, Matplotib, Plotly, Machine learning, Pandas, and much more
  • Practical aspects of topics like Reinforcement Learning, NLP and Deep Learning
  • Get full lifetime access to 67 articles, 35 downloadable resources and Certificate of Completion

This course is for any student or data analysts who want to level up in Machine Learning and who want to start a career in Data Science.

Rating: 4.5/5
Students Enrolled: 648,183
Duration: 44 hours


Python for Data Science and Machine Learning Bootcamp

This Python course for data science and machine learning takes the learner through an in-depth training of a number of topics, ranging from a Python crash course, an overview of data analysis libraries, an overview of data visualization libraries, and machine learning algorithms, amongst many others.

This python course covers Python environment set up, Jupiter overview, NumPy, Pandas, Matplotlib, Seaborn, Plotly and Cufflinks, Introduction to Machine Learning, Linear Regression, Logistic Regression, Support Vector Machines, Principal Component Analysis, Natural Language Processing, Random Forest and Decision Trees, K-Means Clustering and many more concept.

Python for Data Science and Machine Learning Bootcamp course is taught by Jose Portilla, Head of Data Science, Pierian Data Inc. and online instructor, and it is one of the best python course for Data Science and Machine Learning.

Key Skills & USP

  • Use Python for Data Science and Machine Learning
  • Implement Machine Learning Algorithms
  • Learn to use Pandas for Data Analysis & Seaborn for statistical plots
  • Learn to use NumPy for Numerical Data, Matplotlib for Python Plotting, Plotly for interactive dynamic visualizations
  • 165 Lectures + 13 Articles + 5 Downloadable resources + Full lifetime access + Certificate of Completion

This course is for Intermediate and Advance programmers who have at least some programming experience who want to level up their skills.

Rating: 4.6/5
Students Enrolled: 350,059
Duration: 25 hours


Learning Python for Data Analysis and Visualization

Here you’ll learn a bit of intro Python programming, but pretty much goes straight into working with arrays in NumPy. Along with NumPy, you’ll get a ton of experience learning how to analyze and work with data using Pandas. This python course covers Python setup, Numpy, Panda, working with data set, Data visualization, Machine learning, SQL, Machine learning and many more concept.

Learning Python for Data Analysis and Visualization course is taught by Jose Portilla, Head of Data Science, Pierian Data Inc. and online instructor, and it is one of the best python course for Data Analysis and Visualization.

Key Skills & USP

  • Learn the intermediate level of Python programming
  • Learn how to work with various data formats within python, including JSON, HTML and MS Excel Worksheets
  • Learn to use the NumPy library to create and manipulate arrays
  • Learn to use the Jupyter Notebook Environment
  • Use the pandas module with Python to create and structure data
  • Create data visualizations using matplotlib and the seaborn modules with python
  • Work on projects and create a portfolio to showcase at interviews
  • 110 Lectures + 3 Articles + 4 Downloadable resources + Full lifetime access

This course is for anyone interested in learning more about python, data science, or data visualizations.

Rating: 4.3/5
Students Enrolled: 152,170
Duration: 21 hours


Python for Absolute Beginners

This Python 101 course will teach Python programming from scratch with hands-on exercises in this beginner-friendly Python tutorial. This python course covers an introduction to Python Basics, Strings, Functions, Flow control, loops, list and many more concept.

Python for Absolute Beginners course is taught by Green Chameleon Learning High-Quality Teaching and it is one of the best python course Absolute Beginners on Udemy.

Key Skills & USP

  • Learn core Python programming from scratch with hands-on exercises
  • Learn and understand basic computers science concepts, such as flow control and functions etc.
  • Includes review exercises with instructions to test your knowledge and skills in Python programming
  • Get full lifetime access to 36 articles,  67 lectures and Certificate of Completion

This course is for beginners and people interested in programming who have no prior programming experience and not for experienced Python programmers.

Rating: 4.4/5
Students Enrolled: 150,130
Duration: 3 hours


Python for Finance: Investment Fundamentals & Data Analytics

This online Python course for finance will teach to conduct real-world financial and data analysis in Python. This python course covers Intro to python, Calculating and Comparing Rates of Return in Python, Measuring Investment Risk, Regressions for Financial Analysis, Risk of stocks, Covariance, Regression analysis, Sharpe ratio, Monte Carlo simulations and many more concept.

The Python for Finance: Investment Fundamentals & Data Analytics course is taught by 365 Careers and it is one of the best python course for Finance.

Key Skills & USP

  • Learn about basics as well as advanced Python programming techniques and apply these to the different scenarios of Finance
  • Work with scientific packages, like NumPy, Plot graphs with Matplotlib, Monte Carlo simulations
  • Understand how to use the data analysis toolkit, Pandas
  • Learn to Build investment portfolios, Calculate risk and return of investment portfolios, CAPM Model
  • Learn how to price options by applying the Black Scholes formula
  • Get full lifetime access to 1 article, 42 downloadable resources and with lifetime access.

This course is for Beginners Programmers, Aspiring data scientists, Programmers who want to specialize in finance and Finance graduates & professionals who need to better apply their knowledge in Python.

Rating: 4.5/5
Students Enrolled: 72,886
Duration: 8.5 hours


Python for Financial Analysis and Algorithmic Trading

This online Python course will teach an introduction to Python programming, and then using it for finance and algorithm trading. This python course covers Python fundamentals, Pandas for efficient data analysis, stock returns analysis, Sharpe ratio, Matplotlib for data visualization, Py-Finance Ecosystem, such as pandas, Jupyter, stats models, Quantopian and many more concept.

Python for Financial Analysis and Algorithmic Trading course is taught by Jose Portilla, Head of Data Science, Pierian Data Inc. and online instructor, and it is one of the best python course for algorithmic trading.

Key Skills & USP

  • Learn NumPy, pandas, matplotlib, Quantopian, finance, and more for algorithmic trading with Python
  • Use Pandas for Analyze and Visualize Data
  • Learn about the Efficient Market Hypothesis, stats models for Time Series Analysis
  • Learn to Use NumPy to quickly work and Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility
  • 120 lectures + 8 Articles + 2 Downloadable resources + Full lifetime access + Certificate of Completion

This course is for the person who is familiar with Python who wants to learn about Financial Analysis.

Rating: 4.5/5
Students Enrolled: 80,742
Duration: 17 hours


Python A-Z™: Python For Data Science With Real Exercises!

This python course for Data Science with real exercises is truly step-by-step. In every new tutorial, we build on what had already learned and move one extra step forward. This python course covers Python setup, install packages in Python, integer, float, logical, string and other types in Python, create a while() loop and a for() loop, Fundamentals Of Python, Matrices, Data Frames, Advanced Visualization and many more concept.

Python A-Z™: Python For Data Science With Real Exercises course is taught by Kirill Eremenko (Data Scientist) and SuperDataScience Team it is one of the best python course for data science with real exercises.

Key Skills & USP

  • Packed with real-life analytical challenges that will help you learn how to solve complex problems in data science
  • Learn to program in Python, core principles of programming
  • Learn to use Jupiter Notebooks
  • Get full lifetime access to 17 articles, 19 coding exercises and Certificate of Completion

This course is for Beginners, intermediate Programmers who want to learn python and start their career in data science or analytics or anyone who want to level up their skills.

Rating: 4.6/5
Students Enrolled: 110,839
Duration: 11 hours


Data Science: Deep Learning in Python

This online Python course will teach you the fundamentals, as well as advanced concepts of Python. This course will build a complete understanding of Python from the ground up. This python course covers Python Preliminaries, Neurons to Neural Networks, Classifying, Training a neural network, Practical Machine Learning, TensorFlow, Project on Facial Expression Recognition, Backpropagation Supplementary Lectures and many more concept.

Data Science: Deep Learning in Python course is taught by Lazy Programmer Inc. (Artificial intelligence and machine learning engineer), and it is one of the best python course for deep learning.

Key Skills & USP

  • An advanced course on ‘how to build and understand’ deep neural networks with the help of Python and NumPy
  • Learn how Deep Learning really works
  • Code a neural network from scratch in Python, NumPy, TensorFlow
  • Learn how a neural network is built from basic building blocks
  • Derive the backpropagation rule from first principles
  • 88 lectures with Full lifetime access and Certificate of Completion

This course is for Beginners, Programmers switching languages to Python and Intermediate Python programmers who want to level up their skills.

Rating: 4.5/5
Students Enrolled: 42,686
Duration: 11 hours


Python for Data Structures, Algorithms, and Interviews!

This Python course for Data Structures is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms! This course takes advantage of the easy to read Python programming language to efficiently teach you what you need to know to land the tech job of your dreams

This python course covers all the necessary you need to prepare for the interview, Introduction to Jupyter Notebooks, Algorithm Analysis and Big, Array Sequences, Stacks Queues and Deques, Recursion, Trees, Searching and Sorting, Graph Algorithms, Riddles, Introduction to Mock Interview and many more concept.

Python for Data Structures, Algorithms, and Interviews course is taught by Jose Portilla, Head of Data Science, Pierian Data Inc. and online instructor, and it is one of the best python course for data structures.

Key Skills & USP

  • Learn and understand all major Data Structures and Algorithms
  • Learn how to craft a great resume, LinkedIn and GitHub profile to stand out among others
  • Get access to non-technical interview questions and answers, post-interview topics, and many other things related to the interview process
  • 228 lectures + 20 Articles + 44 Downloadable resources + Full lifetime access + Certificate of Completion

This course is for Beginners, intermediate students familiar with Python programming looking to start a career in tech and want’s to level up their skills.

Rating: 4.4/5
Students Enrolled: 48,137
Duration: 16.5 hours


Data Science: Natural Language Processing (NLP) in Python

In this course you will build MULTIPLE practical systems using natural language processing, or NLP that deals with text and speech. This course is not part of my deep learning series, so it doesn’t contain any hard math – just straight up coding in Python.

This python course covers Introduction to Natural Language Processing, Decrypting Ciphers, Build your own spam detector, Build your own sentiment analyzer, Latent Semantic Analysis, Write your own article spinner and many more concept.

Data Science: Natural Language Processing (NLP) in Python is taught by Lazy Programmer Inc. (Artificial intelligence and machine learning engineer), and it is one of the best python course on Natural Language Processing.

Key Skills & USP

  • Learn various applications of Natural Language Processing with Python that can be applied in daily life
  • Write your own cypher decryption algorithm using genetic algorithms and language modelling with Markov models
  • Write your own sentiment analysis code in Python
  • Write your own spam detection code in Python
  • Perform latent semantic analysis or latent semantic indexing
  • Get full lifetime access with articles and Certificate of Completion

This course is for intermediate students who have a basic understanding of python programming and professionals who are interested in applying machine learning and NLP to practical problems.

Rating: 4.5/5
Students Enrolled: 32,604
Duration: 9.5 hours


Thanks for Reading!

You want this? There you have it. Best Udemy Python Courses, Certificates, Tutorial, Training and Classes available online for 2020. I hope you really enjoy learning from these courses as I did.

If you have any suggestions you’d like to add of a course you’ve taken, or if you’ve already taken a course I listed, I’d love to hear about it in the comments below or message us on Instagram.

Also, if you are a Udemy instructor and would like to see if your course if a good fit for this list, please feel free to contact me with a link to your course’s Udemy page.

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