Python for Data Science Cost

As an open-source programming language, Python for data science is free: you can download its frameworks and libraries at no charge. You can also get IDE and code editors like Visual Studio code (VS) and PyCharm at no cost. Data science training costs vary, but you can learn fundamentals in a concise timeframe without spending tens of thousands of dollars.

Students who plan to become Data Scientists, Business Analysts, or Software Engineers all need Python for data science skills. Most of the cost of training is associated with the broader data science education required, not with Python itself.

Read on to learn more about both in-person and online bootcamps and certificate programs you can take for Python for data science, along with the top uses for this powerful programming language.

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 Cost

How much you need to spend to learn Python for data science will depend on how and where you plan to use the knowledge you gain. The training required for a Marketing Analyst role differs from that of a Data Scientist career. Other factors include your current skills and whether you are a novice or getting Python training to level up from a current position.

The most popular training methods include:

• Bootcamps and certificate programs
• College or university courses
• On-demand or self-paced programs

The most expensive and lengthiest option is typically a college or university degree. While some roles may require a computer or data science degree, a bootcamp or certificate can qualify graduates for many entry-level positions.

For example, Noble Desktop’s Python for Data Science Bootcamp costs $1,495 for a 30-hour class that takes participants from Python beginners to experienced programmers. You can save by taking the bootcamp as part of Noble’s Data Science Certificate. This 84-hour program covers a broader data science curriculum, including machine learning and Python for automation, and costs $3,995.

Additional paid training options from Noble Desktop include:

• Data Analytics Certificate - This certificate program trains enrollees for work as Business Analysts or Data Analysts. Topics include SQL, data visualization, and machine learning (ML).

• FinTech Bootcamp - This immersive bootcamp prepares students to become Data Scientists or Financial Analysts. It’s composed of multiple smaller bootcamps, including Python for Data Science and Python for Automation, among others.

Both the Data Analytics Certificate and FinTech Bootcamp cost $4,995. Graduates receive a digital certificate of completion and can retake the course within a year at no additional charge.

Why Learn Python for Data Science?

As Forbes noted in its Top Five Data Science Trends That Made An Impact In 2022, Python has emerged as “the go-to programming language for data science.” The article references multiple dominant data science libraries, including:

• NumPy
• Pandas
• Matplotlib
• Scikit Learn
• PyTorch

If you’re planning to study Python for data science, you can go into it knowing you’ll learn crucial skills and information. Top roles typically requiring Python for data science today include:

• Software Engineer
• Data Scientist
• Coding Engineer
• Software Developer
• Engineering Manager
• Data Analyst

Python for data science isn’t only for IT or software development, either. Sectors as diverse as banking/finance, manufacturing, agriculture, and media require Python data science expertise, and public sector roles like government and academia can require it, too.

Read more about why you should learn Python for data science.

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.