Hello, Jupyter fans out there! Have you ever found yourself in the middle of a data wrangling session feeling like a fish out of water? Or maybe you’ve been working with Jupyter, but with all its features, you know deep down that you’re not truly tapping into its full potential. Well, you’re in luck, my friends. We’ve compiled a list of the best online courses tailored to help you become a master at Jupyter, streamline your workflow, and impress everyone with your notebook prowess.
In this blog post, we’ll walk you through our handpicked selection of top-notch courses to help improve your skills. Whether you’re an absolute beginner or an intermediate user that just needs a few extra tips and tricks, there’s something for everyone, without breaking the bank. So, grab a cup of coffee, get cozy and let’s dive into these brilliant resources that’ll make your Jupyter journey better and far more enjoyable!
Jupyter Courses – Table of Contents
- Jupyter Notebook for Data Science
- Python and Jupyter Notebooks for beginners
- Python for the Jupyter Notebook
- Data Analysis with Pandas and Python
- Practical Jupyter Notebook from Beginner to Expert
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Jupyter Notebook for Data Science
Platform:
Udemy
Rating:
4.8 out of 5
This engaging video course aims to guide you through Jupyter Notebook and its features, helping you master various data science tasks in Python. Jupyter Notebook, a popular tool among data scientists, is perfect for interactive data exploration and visualization. The course covers everything from basic data analysis tasks to more advanced techniques using scientific Python tools such as pandas, matplotlib, and plotly. You’ll work with real-life datasets, like crime and traffic accidents in New York City, gaining hands-on experience in data scraping, cleaning, and creating impressive visualizations with time-stamped and spatial data.
By the end of the course, you’ll be equipped with the skills needed to tackle a new dataset, clean it up, and analyze it using Jupyter Notebook to create interactive reports and information-dense data visualizations. Although based on Jupyter 5.4.1, the content remains relevant for data science enthusiasts. The course was developed by Dražen Lucanin, a developer, data analyst, and founder of Punk Rock Dev—an indie web development studio. With a background in computer science, Dražen has been working professionally in Python, JavaScript, and other technologies since 2009, conducting research in energy efficiency and machine learning methods, supported by tools like Python, Jupyter Notebook, Matplotlib, and Pandas.
Skills you’ll learn in this course:
- Master the basics of Jupyter Notebook and its features
- Conduct data analysis using Python tools such as pandas, matplotlib, and plotly
- Work with real-world datasets and learn data scraping and cleaning techniques
- Develop interactive data visualizations for time-stamped and spatial data
- Approach new datasets with confidence and insight-driven exploration
- Create in-depth data-driven reports in Jupyter Notebook
- Gain practical experience in handling real-life data science scenarios
- Stay current with useful skills for data science enthusiasts, despite using an earlier version of Jupyter Notebook
Python and Jupyter Notebooks for beginners
Platform:
Udemy
Rating:
4.4 out of 5
Are you looking to dive into the world of programming and learn Python? There’s an online course that might be perfect for you. Based on the information provided, this beginner-friendly course will give you a solid introduction to Python, a versatile and popular programming language that can be used to create various types of applications, from games and web applications to desktop programs. Python also plays a crucial role in data science and data analysis, which makes it a valuable language to learn.
What sets this course apart is its use of Jupyter Notebook, an interactive environment that allows you to experiment with Python and easily share your code with others. By focusing on both Python and Jupyter Notebook, this course aims to provide you with a strong foundation to confidently progress further in your programming journey. So, if you’re excited about learning Python in a fun and engaging way, this beginners’ course could be an excellent place to start.
Skills you’ll learn in this course:
- Master the basics of Python programming language.
- Develop a strong foundation in Python syntax and structure.
- Create versatile applications with Python, including games, web applications, and desktop applications.
- Dive into the world of data science and data analysis using Python.
- Learn the ins and outs of Jupyter Notebook as a Python environment.
- Experiment with Python code interactively using Jupyter Notebook.
- Share live Python code with others through Jupyter Notebook.
- Gain confidence in your ability to learn and grow as a Python developer.
Python for the Jupyter Notebook
Platform:
Udemy
Rating:
4.1 out of 5
If you’re someone with little or no programming experience, this online course is perfect for you! Focused on getting you up to speed on the Python programming language, you’ll soon discover why Python is one of the most widely-used languages today, thanks to its simplicity, readability, and versatility. From web development to artificial intelligence, Python lends itself to many applications, all while being beginner-friendly with its simple syntax and dynamic typing.
One truly valuable aspect of Python is its wide-ranging community which has brought together numerous libraries and tools to tackle complex problems. This course starts by getting you acquainted with Python in the Jupyter Notebook, teaching you the basics and ensuring you feel confident using both. The curriculum includes creating variables, performing math calculations, strings, formatted string printing, user input, decision making, loops, lists, sets, dictionaries, date and time, functions, classes, exceptions, and even list comprehensions. Grab this opportunity to step into the world of Python and broaden your programming skills!
Skills you’ll learn in this course:
- Basic Python syntax and creating variables
- Performing math calculations and string manipulation
- Formatting and printing strings
- Collecting user input and making decisions with conditional statements
- Looping through data using loops
- Organizing data with lists, sets, and dictionaries
- Working with date and time features
- Creating functions, classes, and handling exceptions
Data Analysis with Pandas and Python
Platform:
Udemy
Rating:
4.6 out of 5
Welcome to the most comprehensive Pandas course on Udemy, designed to expand your knowledge in one of the most popular Python libraries. Data Analysis with Pandas and Python offers 19+ hours of in-depth video tutorials, covering topics such as installing, sorting, filtering, grouping, aggregating, pivoting, munging, and more. This course is perfect for anyone looking to take their data analysis skills to the next level, whether you’re a beginner or a seasoned data analyst.
Students rave about the well-constructed lessons and excellent instruction. By the end of this course, you’ll have mastered the powerful Pandas library and be able to use it to analyze and manipulate colossal data sets with ease. Data Analysis with Pandas and Python is bundled with dozens of datasets for hands-on practice. Join now and discover how to harness the full potential of Pandas, from installation to visualization. Say goodbye to tedious Excel tasks and embrace the efficiency of this incredible toolkit!
Skills you’ll learn in this course:
- Installing and setting up Pandas.
- Sorting and filtering data.
- Grouping and aggregating data.
- De-duplicating and cleaning data.
- Pivoting and restructuring data.
- Merging and combining datasets.
- Data visualization techniques.
- Efficient data analysis and manipulation using Pandas.
Practical Jupyter Notebook from Beginner to Expert
Platform:
Udemy
Rating:
3.5 out of 5
Get ready to become a Jupyter Notebook pro with this comprehensive online course! Through 7 sections and 30 lectures, you’ll go from the basics of installing Python and setting up Jupyter Notebook to mastering its detailed applications. No stone is left unturned as you’ll learn to work with .py files, format text with Markdown and HTML, and even embed images, audios, and videos into your notebooks.
But wait, there’s more! Elevate your game by customizing your Jupyter Notebook with themes, shortcuts, and popular magic commands. Dive into plotting, interactive widgets, and even converting your notebooks to presentations or web applications. By the end of this course, you’ll not only have grasped almost all aspects of Jupyter Notebook, but also have developed practical skills through various examples. Say goodbye to feeling like a beginner and hello to being an expert!
Skills you’ll learn in this course:
- Installing Python, Jupyter Notebook, and creating a working directory.
- Formatting text with Markdown and HTML in Jupyter Notebook.
- Embedding images, audios, and videos into Jupyter Notebook.
- Customizing Jupyter Notebook’s appearance and use shortcuts and magic commands.
- Creating basic and interactive plots in Jupyter Notebook.
- Developing a content table for organizing Jupyter Notebooks.
- Converting Jupyter Notebooks to presentation slideshows.
- Transforming Jupyter Notebooks into web applications.
As we’ve explored in the world of Jupyter online courses, there’s an abundance of high-quality resources that cater to all skill levels and interests. In fact, the hardest part might be deciding which courses to pursue! But regardless of which path you ultimately choose, learning how to harness the power of Jupyter notebooks will undoubtedly elevate your data analytics and visualization game. Plus, employers won’t take long to recognize the valuable skill set you bring to any data-centric team.
The key takeaway here is to choose the course that aligns best with your learning style, whether it’s taking a deep dive into a topic or exploring a wide array of subjects that pique your curiosity. Reap the benefits of Jupyter notebooks while immersing yourself in the world of data science. Before you know it, you’ll be joining the ranks of seasoned professionals who wield Jupyter tools with dexterity and confidence. Don’t hesitate! Embark on this exciting journey of intellectual growth and conquer the world of Jupyter notebooks with your newfound expertise.