Python for Data Science Training Cost

Do you want to learn Python for data science? An open-source programming language, Python—and its libraries and frameworks—are free to download. However, the cost of Python for data science training is another matter altogether.

You can also find many free resources online to start learning Python for data science, like video tutorials, seminars, and articles. Once you move on to formal training, factors like your budget and availability can influence how much learning Python for data science costs. Immersive bootcamps or certificates typically range from about $4,000-$5,000, but four-year degree programs will of course cost much more.

Read on to find out more about how much you can expect to spend on learning Python for data science.

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

In-Depth Review of the Training Cost

The cost of Python for data science training depends on factors like your industry, current skillset, and whether you’re getting an entry-level role or moving up from an existing position. If you plan a career as a Data Scientist or Software Engineer, you may need multiple years of experience to achieve your goals.

To better estimate your Python for data science training costs, consider the following:

• On-demand or self-paced classes - Along with free resources like blog posts or online tutorials, on-demand coursework can be a great way to begin learning. The cost may run from free to several hundred dollars. If you’re not yet ready to commit to a full-length program, start here.

• Bootcamps and certificate programs - Many Python for data science beginners get entry-level jobs after attending an in-person or online bootcamp or certificate. These comprehensive programs can range from $4,000-$5,000, and typically include training in Python fundamentals, data science tools, and even machine learning (ML).

• Universities and colleges - Some positions require that applicants have a degree, but this isn’t always the case. Many entry-level roles require no more than a certificate of completion from a bootcamp course provider. College or university programs are typically the lengthiest, most expensive alternatives, though some positions demand a specific degree.

When you evaluate formal training options, remember the benefits of in-person training, like using the course provider’s equipment rather than your own. If work or family commitments keep you from attending in-person classes, online learning offers flexible training options, like weekend or evening class times, teleconferencing, and instant messaging.

Free Introductory Python for Data Science Course Online 

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.

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.