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CBTNuggets - Certified Associate Data Analyst with Python (PCAD™)
Released 6/2026
Taught by Shaun Wassell
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 340 Lessons ( 46h 40m ) | Size: 8.2 GB
This course prepares you to sit the PCAD - Certified Associate Data Analyst with Python certification, covering the core skills employers expect from a professional data analyst. You'll work through Python for data manipulation, Pandas, NumPy, Matplotlib, and Seaborn for querying and aggregating datasets, and statistical methods for drawing reliable conclusions from data. The course maps to the official PCAD exam objectives, so you're building practical skills and exam readiness at the same time. It's perfect for candidates at an early to mid stage of their analytics career, including those transitioning from data-adjacent roles.
What you'll learn
Apply Python libraries like pandas and NumPy to clean, transform, and analyze real datasets Write queries to extract, filter, join, and aggregate data from relational databases Build data visualizations that communicate findings clearly to technical and non-technical audiences Interpret descriptive and inferential statistics to support evidence-based decisions Structure an end-to-end analytics workflow from raw data ingestion to documented insight Prepare for PCAD exam scenarios using practice questions aligned to official objectivesIs the PCAD certification worth it for a junior data analyst?
For someone early in their analytics career, the PCAD gives you a recognized credential that validates your Python skills in a hiring context. It's particularly useful if you don't yet have a long project portfolio to show employers. The certification signals that your foundational knowledge meets an industry benchmark, which can help you stand out when competing for analyst roles against candidates with similar experience levels.
How much does the PCAD exam cost?
The PCAD exam starts from $195 for a single attempt, or from $225 if you opt for the Exam + Retake bundle. However, because exam fees vary by region and testing provider, it is always best to check the official PCAD certification body's website for the most up-to-date pricing. Remember to look into whether your employer offers a reimbursement policy for professional certifications before you register, and keep an eye out for training providers that bundle exam vouchers with course enrollment to help reduce your total cost.
What jobs can I get with a PCAD certification?
The PCAD is aligned to entry and associate-level data analyst roles. Common job titles held by PCAD-certified professionals include data analyst, business analyst, reporting analyst, and junior analytics engineer. It also supports lateral moves from roles like operations coordinator or marketing analyst where you already work with data but want to formalize your technical credentials.
Are there any prerequisites for the PCAD exam?
The PCAD does not mandate formal prerequisites, but you'll get more from the exam and this course if you've spent some time writing Python code and running basic queries before you start. Candidates with zero programming experience will need to invest more time on fundamentals before sitting the exam. If you're brand new to Python, consider working through a beginner Python course first, like the PCED.
How does the PCAD compare to other entry-level data certifications?
The PCAD is specifically Python-focused, which differentiates it from broader certifications like the Google Data Analytics Certificate that cover a wider toolset at a shallower depth. If Python is your primary working language and you want a credential that reflects that directly, the PCAD is a more targeted choice. It's a better fit for technical roles than business-intelligence-oriented certifications, which tend to emphasize tools like Tableau or Power BI over programming.
Who is this training for?
Junior analysts, career-changers, and recent graduates who have some exposure to Python and want a recognized credential to back up their skills. Business professionals who work closely with data teams and want stronger analytical fluency will also find it practical.
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