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Python Programming with NumPy and Pandas

The Python Programming with NumPy and Pandas course by Python Institute equips aspiring data analysts, business intelligence specialists, and career switchers with essential skills to clean, analyze, and visualize real-world datasets using core Python libraries. It solves the critical industry challenge of transforming raw, unstructured data into actionable insights—addressing a market where demand for entry-level data talent has grown over 45% in the past two years according to LinkedIn’s 2024 Jobs Report.

This course prepares learners for the PCED™ – Certified Entry-Level Data Analyst with Python exam (PCED-30-02), featuring a 75% passing score across 40 scenario-based questions in 60 minutes. Koenig Solutions delivers this training with Guaranteed-to-Run dates and official vendor-authorized courseware, ensuring consistent access to live instruction. Graduates gain the confidence to pursue roles in data analytics, AI, and business intelligence with verified, industry-recognized credentials.

32 Hours (4 Days)
Live Online / Classroom
29+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,800
Dedicated instructor, your schedule Fastest
Public Batch USD 1,400
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Self-Paced On Request
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Course Overview

The Python Programming with NumPy and Pandas course by Python Institute is designed to equip learners with essential data analysis skills using two of Python’s most powerful libraries. This training prepares candidates for the PCED – Certified Entry-Level Data Analyst with Python exam, a credential that validates foundational competence in data manipulation, cleaning, and basic analysis. Ideal for aspiring data analysts, junior data scientists, and business intelligence professionals, this course meets growing industry demand—86% of data scientists report using Python as their primary language, according to JetBrains. With organizations across finance, healthcare, and technology adopting data-driven decision-making, proficiency in NumPy and Pandas has become a core requirement for entry-level analytics roles.

Students engage with key tools including NumPy for numerical computing, Pandas for DataFrame manipulation, Jupyter Notebook for interactive coding, Matplotlib for basic visualization, and Python’s built-in csv and datetime modules. The hands-on lab environment uses Jupyter Notebook, where learners build real-world projects such as importing messy CSV datasets, cleaning and transforming data using vectorized operations, merging multiple data sources, and generating summary statistics. One key project involves analyzing sales data over time by parsing dates, handling missing values, grouping by categories, and producing time-series summaries—mirroring tasks performed by analysts in business settings. These labs emphasize practical problem-solving, ensuring students gain experience with the full data workflow from ingestion to insight.

This course directly supports certification as a PCED – Certified Entry-Level Data Analyst with Python, a globally recognized credential that demonstrates verified competency in foundational data tasks. Certified professionals can expect competitive career outcomes, with entry-level data analysts earning between $50,000 and $130,000 annually in the U.S., based on experience and location. Koenig Solutions enhances preparation with 1-on-1 training and Guaranteed-to-Run batches, ensuring access to official courseware and expert instruction. Graduates are well-positioned to advance toward associate-level credentials like PCAD or pursue roles in data analytics, setting a strong foundation for long-term success in data science and AI-driven industries.

What You'll Learn

Architect data pipelines using NumPy and Pandas to process multi-dimensional arrays exceeding 1GB in memory as part of the Data Science curriculum
Optimize computational workflows by executing vectorized operations to reduce execution time by 40% compared to standard Python loops
Automate the retrieval and organization of complex datasets by implementing advanced indexing and slicing techniques on Pandas DataFrames
Standardize data cleaning and transformation workflows to ensure 100% consistency in dataset integrity and analytical reliability
Execute high-level descriptive statistical modeling to identify and quantify key data patterns within large-scale exploratory analysis
Visualize complex analytical findings using Matplotlib and Seaborn to communicate data-driven insights with professional clarity

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming fundamentals including variables, data types, conditionals, loops, and functions
  • Familiarity with core Python data structures such as lists, dictionaries, and tuples
  • Experience installing and managing Python modules and packages using PIP
  • Ability to perform file operations with a focus on reading and writing CSV files
  • Possession of the PCEP – Certified Entry-Level Python Programmer certification or equivalent experience
  • Prior exposure to foundational data analysis concepts including data cleaning, handling missing values, and exploratory data analysis
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Certification Exam

Everything you need to know about the Python Programming with NumPy and Pandas certification exam

Exam Details
Exam Name
Python Programming with NumPy and Pandas
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates must wait 15 days before retaking a failed exam. There is no limit on the number of retakes. A new voucher is required for each attempt.
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Python Programming with NumPy and Pandas

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What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of Python Programming with NumPy and Pandas certified professionals report career advancement within 6 months

Salary Impact

+18%

Average salary increase reported after obtaining the Python Programming with NumPy and Pandas certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Analyst
  • Python Developer
  • Data Engineer
  • Business Intelligence Analyst
  • Quantitative Analyst
  • Junior Data Scientist

Companies Hiring

5,000+
Financial services firms Healthcare analytics providers E-commerce platforms Supply chain logistics companies Marketing technology agencies Renewable energy research labs Retail forecasting firms Telecommunications providers Public sector data agencies Biotech research organizations

and 5,000+ organizations worldwide seeking Python Programming with NumPy and Pandas certified professionals

Meet Your Instructor

👤
Simmi Anand
10+
Years Exp.
5,000+
Students
4.9
Avg Rating

I am Simmi Anand, a Microsoft Certified Trainer, and UiPath Certified Advanced RPA Developer with over 12 years of rich experience in corporate training and the IT sector. I have been working with Koenig Solutions for the past 8+ years, providing quality training on technologies related to Development, Automation and Testing using various Languages (e.g., Python, Java) and Tools e.g., Robotic Process Automation using UiPath and Automation Anywhere. In addition, I also deliver training on Microsoft and Google technologies, including Mobile Application Development for Android, iOS with Swift, Hybrid Mobile Application using PhoneGap, Microsoft SQL Server, Microsoft PowerApps & Flow, Power Platform and PostgreSQL to global and corporate clients.   One reason I enjoy this field and the challenges that come with it is the opportunity to connect with people and solve their IT needs. I am also passionate about learning technologies and gaining solid knowledge about them. I have conducted various onsite training assignments globally with esteemed clients such as Microsoft - India, KPMG, Raw Bank - DRC, FRCI - Mauritius, Google Train the Trainer Project, Infosys, TCS, Wipro, and many others. Associated with Koenig since February-2016.

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

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    Security Analyst

    SC-300 Certified ✓ Verified
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    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

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    AI Engineer

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  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Python Programming with NumPy and Pandas training course

Is the certification exam included in the Python Programming with NumPy and Pandas course, and what is the cost if separate?
The Python Programming with NumPy and Pandas course fee excludes the exam. You must purchase the PCAD – Certified Associate Data Analyst with Python exam separately for $195. This Python Institute certification is available via OpenEDG Testing Service, with optional bundles for retakes.
What training formats are available for the Python Programming with NumPy and Pandas course at Koenig Solutions?
Koenig Solutions provides live online 1-on-1 and classroom training for Python Programming with NumPy and Pandas. These sessions are Guaranteed-to-Run, ensuring your schedule remains secure. We prioritize personalized, real-time mentorship over self-paced study to maximize your professional skill acquisition.
How long is lab access provided, and what type of environment is used during the Python Programming with NumPy and Pandas course?
You receive 30 days of 24/7 access to a cloud-based sandbox for Python Programming with NumPy and Pandas. This pre-configured environment includes Jupyter, NumPy, Pandas, and Matplotlib. It eliminates local setup issues, allowing you to master complex data workflows through immediate, hands-on practice.
What is Koenig Solutions’ rescheduling and cancellation policy for the Python Programming with NumPy and Pandas course?
Koenig offers free rescheduling for Python Programming with NumPy and Pandas up to 7 days before commencement. Cancellations within 7 days incur a 10% fee, while those under 72 hours result in a 50% charge. Full refunds are available for requests made 7+ days prior.
What is the format, number of questions, passing score, and time limit for the PCAD certification exam after completing the course?
The PCAD exam for Python Programming with NumPy and Pandas features 48 scenario-based questions. You have 60 minutes to achieve a 75% passing score. Delivered via OpenEDG TestNow™, the exam validates your expertise in Python, SQL, NumPy, Pandas, and data visualization libraries.
How long is the PCAD certification valid, and what is the renewal process and associated cost?
The PCAD certification from the Python Institute remains valid for 6 years. There are no maintenance fees. To renew, you must retake the current exam version for $195. This provides long-term professional recognition for your Python Programming with NumPy and Pandas skills.
What post-training support does Koenig provide after completing the Python Programming with NumPy and Pandas course?
Koenig offers 3 months of expert mentorship via email and chat following your Python Programming with NumPy and Pandas course. You gain access to recorded sessions and lab environments. We also provide career guidance and certification registration support to ensure your professional success.
Are there any prerequisites or recommended experience levels before taking the Python Programming with NumPy and Pandas course?
While no formal prerequisites exist, the Python Institute recommends PCEP or PCAP certification. We suggest 3–6 months of Python experience to excel in Python Programming with NumPy and Pandas. Proficiency in basic statistics and data structures will significantly enhance your learning outcomes.
What career opportunities and salary improvements can learners expect after completing the Python Programming with NumPy and Pandas course?
Completing Python Programming with NumPy and Pandas prepares you for data analyst roles earning $65,000–$95,000 annually. Certified professionals often secure 15–25% salary increases. This Python Institute credential is highly valued across the finance, healthcare, and technology sectors for driving data-backed decisions.
How does instructor-led training for Python Programming with NumPy and Pandas compare to self-study in terms of success rates and learning outcomes?
Koenig’s instructor-led Python Programming with NumPy and Pandas training achieves a 90% pass rate, versus 60% for self-study. Expert guidance reduces your preparation time by 50%. You gain mastery over broadcasting, indexing, and aggregation through structured, real-time feedback, ensuring superior practical application.
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