Python is one of the most popular programming languages across various domains. It is the most actively used for data science and data analysis and also for building web applications, in the financial sector, the marketing field, and others. According to Github, Python was the second most popular programming language in 2020.
It is so popular for a couple of reasons. Among them is the easiness to learn this language, its flexibility for different tasks which is the result of having a huge number of libraries.
Also, Python skills are needed for data scientists who are in demand today and usually have high salaries. For example, junior to middle data scientists in the United States can make over $100,000-120,000. Moreover, according to Indeed HiringLab, in 2020 demand for Python skills in data science was up 128% over the past five years.
Advantages of Python
Its simplicity; this language is easy to learn and to understand
Huge among of libraries for various needs
It’s an open-source language with a big community
Debagging is easy since the code in Python is executed line by line
Slow speed of execution
Uses a large amount of memory
Is not good for mobile development (because of the previous two reasons)
Limited access to databases
How long does it take to learn Python?
On average, it can take about 2 to 3 months to learn the basics. It includes the fundamentals of object-oriented programming, basic Python syntax, data types, variables, loops, and functions. Moreover, during this time, you can learn the main libraries. However, to become an expert in Python, you need at least 6 months of active practice. If you need Python to dive into data science, you need at least a year.
Top Python online courses to take in 2021
Finally, we are digging into the main question: what are the best Python online courses worth taking? We have prepared a list of 10 which were selected due to their content, price, reviews of current or former students, and some other criteria.
All the courses are divided into groups to make it easier for you to focus on the most appropriate ones.
This course is a good start for complete beginners. It includes basic topics, such as lists, functions, and an overview of libraries. The course also has a separate chapter about NumPy library which is useful for data analysis.
The course is based on the book “Python for Everybody” (Chapters 1-5) and is designed to teach the programming fundamentals with Python 3 as a working language. Here, you will learn how to install Python and using variables, functions, and loops.
~19 hours to complete Offered by The University of Michigan
The main focus of this program is to learn how to write code effectively with the best practices, master object-oriented programming as well as test and debug your code. Meanwhile, it covers such libraries as pandas, NumPy, setuptools, pytest, and pycodestyle.
This program includes two courses – for beginners and intermediate Python, and also two huge topics on Django and Flask. Moreover, there are four projects within this course: The Number Guessing Game, Basketball Stats Tool, Phrase Hunters, and Store Inventory with SQLAlchemy.
The course covers all the main topics, from data types, functions, and loops to file processing (working with CSV or Excel files). It also includes topics related to databases and working with SQL. Moreover, you can find many advanced topics here. The main feature of this course is building 10 applications – Building an English Thesaurus, Making a Personal Website with Python and Flask, Buiding a Web Scraper of Real Estate Listings, just to name a few.
This program is designed for people who already have some knowledge of Python and want to go deeper. So, it covers more advanced topics on functions and functional programming, how to build large systems at scale with Python libraries, and building web applications with Flask. The program also includes two projects, Near-Earth Objects database generation, and Meme Generator.
This program starts from courses on NumPy and then, it goes to intermediate topics using Matplotlib and DataFrames (pandas library). It shows how to join data and provides the basics of data visualization (with Matplotlib and Seaborn). Among the projects are Investigating Netflix Movies, Analyzing The Android App Market, and others.
This course combines Python basics and covers the very beginning of data science. Particularly, it reveals data structures, conditions, and branching. Then, it goes to working with data, read and write files. It also covers the use of APIs and web scraping.
5 months to complete Offered by University of Michigan
The course is designed to help marketers make better data-driven decisions. It covers popular libraries for working with data – pandas, Matplotlib, tweepy, NLTK, seaborn, NumPy, SciPy, and scikit-learn. It includes such topics as analyzing marketing campaigns and social media data, market basket analysis, customer segmentation, A/B testing, and some others.
This is a short course that covers the basics of using Python for marketing. It includes such topics as loading, cleaning, wrangling, and joining marketing data, making calculations, visualization, and some others.
The course starts with an introduction to Python and how to set up the working environment. Then, it reveals such topics as data segmentation, clustering (hierarchical and k-means clustering), modeling purchase and brand choice, and some other topics.
To get the result, you need to spend at least 2 hours a day, which means about 10-12 hours a week. But keep in mind that if you spend those 12 hours in two days, it would be less effective on a long-time scale.
How difficult is it to learn Python?
Python is considered one of the easiest programming languages, and this explains why many people get into coding with it. It is simpler than its main alternatives like C, C++, or Java.
Best Python libraries to learn
It depends on your goals, but among the most popular ones are Pandas, NumPy, Scikit-learn, SciPy, Seaborn, Matplotlib, Keras, TensorFlow, PyTorch, NLTK, Requests, BeautifulSoup, and others.
Is Python enough to get a job?
It depends on the job you are looking for. But it can be enough to find an entry-level position in software development or data analytics.
What are predictions about the future of Python?
This programming language is predicted to remain one of the dominant, especially for data science which popularity is actively rising.