Python for Data Science Certifications and Certificates

If you’re looking for a way to demonstrate your skills in Python for data science, you might be overwhelmed by the different certifications and certificate programs available. You might also have a lot of questions, like:

• What’s the difference between a certificate and a certification?
• Will a certificate help me get a job? 
• How do I prepare for these credentials?

This article aims to provide answers to these questions so you can efficiently choose the right path towards a Python for data science certification. Keep reading to find out more.

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

Certifications vs. Certificates: What’s the Difference?

Certificates and certifications differ in several key ways. The essential difference is that certificates are typically completion-based programs. You usually have to sit for an exam administered by a third party to demonstrate mastery of a subject for certification.

Noble Desktop offers multiple certificate programs related to Python for data science. Their Data Science Certificate covers Python as part of a broader data science curriculum. Those interested in learning Python for a Data Analyst or Business Analyst role may prefer Noble’s Data Analytics Certificate.

Certifications in Python for data science may not be as crucial as learning fundamentals, but many mid-career tech pros find them beneficial. Check out the following from the Python Institute:

• PCEP - Certified Entry-Level Python Programmer
• PCAD - Certified Associate in Data Analytics with Python
• PCAT - Certified Associate in Testing with Python

Top Certifications & Certificates for Python for Data Science

Noble Desktop’s top Python for data science certificate programs are their Data Science and Data Analytics Certificates. If your primary interest is cybersecurity or FinTech, check out their other certificate programs and bootcamps also. Most run around 100-150 hours, which means you can learn a great deal in a concise timeframe.

The Python Institute’s main certifications relate to different skill sets. PCEP is an excellent certification for straight Python programming, while PCAD is for data analysis and PCAT is oriented toward software testing. Check the Python Institute’s site for more details, including any prerequisite information.

Should I Get Certified in Python for Data Science?

Not many entry-level roles in Python for data science require certifications. While a Cybersecurity Analyst might need a professional certification like Certified Ethical Hacker (CEH), few positions demand Python certifications.

Graduating with a certificate is a different matter. If you already have a job in Python for data science or another tech role, you may not need the training offered in these immersive programs. However, if you plan to be a Data Scientist, Data Analyst, or Machine Learning Engineer, a Python for data science certificate can help you land an entry-level position.

How to Get Certified in Python for Data Science

Instead of training for professional certification, consider enrolling in a Python for data science certificate program first. This way, you can get Python fundamentals and complete real-world projects that qualify you for an entry-level data science position.

If you graduate from Noble Desktop’s Data Science Certificate program, you’ll have the ideal training for a position like:

• Data Scientist
• Data Engineer
• Machine Learning Engineer

However, if your plan is more on the analysis side, consider getting your Python training through Noble’s Data Analytics Certificate. This program is perfect for a role like:

• Data Analyst
• Financial Analyst
• Business Intelligence (BI) Analyst

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.

Key Insights

• Python is among the most popular programming languages in the world.

• Python for data science roles include:
  • Data Scientist
  • Data Engineer
  • Software Engineer
  • Data Analyst
• Top Python libraries for data analysis include:
  • NumPy
  • Pandas
  • SciPy
• Top Python libraries for data visualization include:
  • Matplotlib
  • Plotly
  • Seaborn
• Top Python libraries for artificial intelligence (AI) and machine learning (ML) include:
  • Scikit Learn
  • PyBrain
  • TensorFlow
• Certifications are usually administered by a third party to demonstrate subject mastery.

• Certificates are typically completion-based programs.

• Popular Python for data science certifications include:
  • PCEP
  • PCAP
  • PCAT
• Top Python for data science certificate programs include:
• Data Science Certificate
• Data Analytics Certificate

• You can receive comprehensive Python for data science training through an in-person or live online course with Noble Desktop.