Which Python for Data Science Training Format Is Right for Me?

When comparing types of Python for data science training, there are many factors to consider. Everyone learns differently, and choosing the right training is critical to your experience.

Python for data science cuts across virtually every industry, and the need for skilled professionals is constantly growing. Read on to learn more about the different formats of Python for data science training, how they compare to each other, and how to determine which is best for you.

What is Python for Data Science?

Python is among the most popular programming languages in the world, and many tech professionals learn it before moving on to other languages. According to leading publications, data science and machine learning pros consider Python their go-to programming language. Python is an essential skill for many development and data science roles, including:

• Data Scientist
• Data Engineer
• Software Engineer
• Data Analyst
• Python Developer

Artificial intelligence (AI) and machine learning (ML) are areas where Python for data science rules the roost. Building ML models and applying ML algorithms typically includes libraries like Scikit Learn or PyBrain. Data analysis requires Python libraries like Pandas and NumPy. And visualization with Matplotlib or Seaborn is popular in Python for data science. 

Read more about what Python is and why you should learn it for data science. 

What Can You Do with Python for Data Science?

Python is advantageous for data science professionals of all kinds. Its ease of use and scalability make it the top choice for Data Scientists, Data Engineers, and Data Analysts in virtually every sector of the economy.

Because Python is both easy to learn and powerful, its libraries and frameworks can be ideal for dealing with mathematical functions, data structures, and visualization. Here are some of the most common uses for Python in data science.

• Data Analysis - Python is easy to read and write, so it’s commonly used for complex data analysis—particularly handling large datasets. Top Python libraries for data analysis include:

• NumPy
• Pandas
• SciPy

• Data Visualization - Data science often requires visualization tools. Data professionals use charts, graphs, and even maps to present data in easy-to-digest ways. Top Python libraries for data visualization include:

• Matplotlib
• Plotly
• Seaborn

• Artificial Intelligence and Machine Learning - Machine learning, or ML, is a subset of artificial intelligence (AI). Data science pros use ML libraries like Scikit Learn for data classification and linear regression. Top Python libraries for AI and ML include:

• Scikit Learn
• PyBrain
• TensorFlow

Training Formats for Python for Data Science

Students who want to learn Python for data science should compare and contrast every training format. Consider the four main categories:

• Free introductory seminars and tutorials
• On-demand or self-paced classes
• Live online coursework
• In-person programs

Free courses include introductory videos like Noble Desktop’s Intro to Python Fundamentals. This course covers topics like how to install Python with Anaconda, numeric data types, and best practices, all in a concise hourlong presentation.

Other free courses include Data Science Math Skills from Duke University, Data Processing Using Python from Nanjing University, and Foundations of Data Science from the University of London. 

In-Person Python for Data Science Training

Many Python for data science students find training in the traditional classroom setting the most effective way to learn. Advantages of this approach include:

• The expected level of engagement of in-person training
• Using course provider equipment
• Making valuable connections with peers and mentors

If in-person training has a drawback, it’s commuting and looking for parking. Overall, however, many students prefer in-person training.

Noble Desktop hosts a variety of Python for data science training options, like their Data Science Certificate, Python for Data Science Bootcamp, and Python Data Science & Machine Learning Bootcamp. Other options include their FinTech Bootcamp and Python Machine Learning Bootcamp.

You can find many Python for data science programs using the Classes Near Me search tool, like Python Advanced from AcademyX and Python for Automation from Practical Programming.

Live Online Python for Data Science Training

Although many students seek in-person Python for data science training, a growing number of students and busy professionals choose live online courses for their education. Virtual training via teleconferencing offers benefits similar to face-to-face coursework, but you can learn from the comfort of your home or office.

While you might find it convenient to avoid traveling to a classroom, your learning style might cause you to feel online learning holds a slightly lower level of engagement. Still, the ability to network with peers via instant messaging—and get 1-on-1 mentoring through teleconferencing— may provide a worthy substitute for in-person training.

You can find many live online Python for data science classes using Noble Desktop’s Classes Near Me search tool. Check out the following bootcamp-style programs:

• Python for Data Science Bootcamp - The Python for Data Science Bootcamp is open to beginners and covers everything from Python programming fundamentals to arrays, dataframes, and linear regression. Students can save by taking this course as part of Noble’s Data Science or Data Analytics Certificate programs.

• Python Machine Learning Bootcamp - A subset of artificial intelligence, machine learning (ML) is a primary focus for many data science professionals today. This bootcamp is also part of the Data Science Certificate, but you can take it separately if you’re already comfortable with Python libraries like NumPy and Pandas. Check listings for more detailed information.

• Python for Finance Bootcamp - Noble Desktop’s Python for Finance Bootcamp is ideal for anyone planning to become a Data Analyst, Financial Analyst, or Risk Manager. Get hands-on training from experts in this advanced bootcamp, or save by taking it as part of Noble’s FinTech Bootcamp.

Other alternatives include a Python for Data Science Immersive from Practical Programming, Coding Temple’s Python + Data Science, and BrainStation’s Machine Learning Certificate.

Free Online Courses & Tutorials

Those not yet ready to dive into a full-scale bootcamp or certificate program can still get an overview of Python for data science. Start learning Python for data science online for free. In this introductory course, you’ll learn fundamentals like:

• How to install Python using Anaconda
• Numeric data types
• Integers
• Pseudocodes
• Variable names
• Best practices

Additional free classes include Data Processing Using Python from Nanjing University, Data Science Math skills from Duke University, and the University of London’s Foundations of Data Science: K-Means Clustering in Python.

Read about more free Python and data science videos and online tutorials.

Then find other non-Noble courses.

On-Demand Classes

On-demand or self-paced courses can be helpful if you’re starting out with Python for data science. Some offer training at the beginner level, whereas others require intermediate skills. Check out options like Exchanging Excel for Python or Making a Twitter Bot in Python for more information.

Comparison of Python for Data Science Training Formats

The bootcamp or certificate training model can be the perfect way to learn Python for data science. In-person programs remain the format of choice for many students, especially those who prefer the traditional classroom experience.

This section will cover the three main training formats:

• In-person courses
• Live online (via teleconferencing) programs
• On-demand or self-paced classes

Many students and busy professionals consider live online and in-person classes the most engaging, interactive methods of learning. Students can ask questions and receive immediate feedback, get guidance building portfolios, and interact with like-minded peers.

Face-to-face training also offers additional advantages, like networking opportunities and computer labs with up-to-date software.

Many students appreciate the benefits of virtual live bootcamps or certificate programs to master Python for data science fundamentals. Live online training offers a learning experience comparable to in-person training, with expert instructors who have experience in the field. You can get immediate feedback as you would in an in-person class, but from the comfort of your home or office. Instructors can even control your screen, with permission. If there’s any drawback to online classes, it’s that you have to use equipment you own, which means tech support is up to you.

On-demand or self-paced training is typically the most affordable option and can be a great way to start learning Python for data science fundamentals. However, this method doesn’t offer the benefits of live instruction and has the potential to be outdated. On-demand courses vary in length and price, from free one-hour video seminars to programs that cost more than $500. Although you may consider a self-paced course at that price a bargain, most students find that lack of engagement or accountability for assignments makes them want to pay for live training rather than prerecorded videos. Self-paced training typically works best as an introduction rather than a primary curriculum.

Is it Possible to Teach Yourself Python for Data Science?

In a word: yes. You can learn Python for data science by yourself.

However, to truly grasp Python for data science and especially if you are learning it for professional reasons, having an instructor who is an expert in the topic is essential.

Many students begin learning fundamental Python for data science concepts by watching videos and following tutorials. To determine the best course of action beyond free resources, you should compare and contrast a variety of training options. Read on for more on how to find your best roadmap for success.

How to Decide the Best Way to Learn Python for Data Science

When choosing the best way to learn data science, you should know how and where you want to apply this high-level programming language. Beginners may not be ready to invest in formal training, and there’s nothing wrong with reading articles or watching video tutorials. A free online seminar like Noble Desktop’s Intro to Python Fundamentals can be a great place to begin.

If you want to develop a working knowledge of Python for data science, plug a skill gap, or grow within your current role, consider enrolling in a bootcamp. Noble’s Python for Data Science Bootcamp or Python Data Science & Machine Learning Bootcamp can get you started.

Want to master Python for data science for a new career or to pivot to a new industry? Check out programs like the Data Science Certificate or Data Analytics Certificate. These immersive programs cover everything from Python for data science fundamentals to relational databases.

Other factors in your decision-making process can include your budget, availability, prior knowledge of the topic, and whether you prefer to learn live online or in person.

Learn Python for Data Science with Hands-on Training at Noble Desktop

Because Python for data science involves two potentially different disciplines—Python programming and the broader data science field—not every student approaches it the same way. How and where you plan to use the knowledge you gain from Python for data science training may dictate your approach.

Noble Desktop offers multiple avenues to learn data science. Their Data Science Certificate includes Python programming fundamentals, machine learning, SQL to query databases, and plotting and dashboard libraries. This program prepares attendees for entry-level positions in data science and Python engineering.

Another option is Noble’s Python for Data Science Bootcamp. A hands-on 30-hour course, the bootcamp includes training in Numpy, Pandas, Matplotlib, and linear regression. Students can save by taking the Python for Data Science Bootcamp as part of the Data Science Certificate program as well.

If you prefer to peruse all the Python for data science training Noble Desktop offers, check out the Python Classes page. Here you’ll find bootcamps and certificate programs as well as shorter courses. Top certificate programs include:

• Data Science Certificate
• Software Engineering Certificate
• Data Analytics Certificate

Popular bootcamp options include:

• Python for Data Science Bootcamp
• Python Programming Bootcamp
• FinTech Bootcamp
• Cybersecurity Bootcamp

Other training options include:

• Python for Automation
• Cybersecurity with Python
• Python for Network Security

Noble Desktop’s bootcamps and certificate programs earn high marks from graduates. They are available live online or in-person in New York City. Additional perks include a verified Certificate of Completion and free retakes within a year after graduation. Many certificates and bootcamps also include 1-on-1 mentoring: check course descriptions for more information, including any prerequisites.