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Python for Data Analytics and Machine Learning (Oracle) Intermediate

The Python for Data Analytics and Machine Learning course by Python Institute equips aspiring data analysts and career changers with foundational skills to collect, clean, analyze, and visualize data using Python. Designed for beginners, it solves the critical pain point of breaking into data-driven roles, where demand for entry-level analysts has grown by 35% globally over the past two years. Learners gain hands-on experience with real-world datasets, mastering essential tools like NumPy and techniques in exploratory data analysis.

This course prepares you for the PCED™ – Certified Entry-Level Data Analyst with Python exam (PCED-30-02), featuring 40 questions and a 75% passing score. Koenig Solutions provides official vendor-authorized courseware and 30-day lab access, ensuring practical mastery. Graduates are positioned to pursue roles in business intelligence, data analytics, and AI, with the credential serving as the first step toward advanced certifications like PCAD™ and PCPD™.

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Course Overview

The Python for Data Analytics and Machine Learning course by Python Institute is designed to equip learners with foundational and advanced skills in data analysis and machine learning using Python. This course prepares candidates for the PCED™ – Certified Entry-Level Data Analyst with Python (PCED-30-02) certification exam, serving roles such as data analyst, junior data scientist, and business intelligence associate. With data-driven decision-making now adopted by over 84% of global enterprises, this training meets the growing demand for professionals who can transform raw data into actionable insights. The curriculum covers essential topics including data acquisition, exploratory data analysis (EDA), statistical methods, and machine learning modeling, ensuring participants gain both theoretical knowledge and practical expertise aligned with industry needs.

Students engage with key Python libraries and tools including NumPy, Pandas, Matplotlib, Seaborn, and scikit-learn within a hands-on lab environment featuring Jupyter Notebooks. The course includes over 40 interactive labs and real-life data analysis scenarios where learners build complete projects such as predictive models for employee retention, car price forecasting, and sentiment analysis. One capstone project involves performing end-to-end EDA on a real-world dataset, cleaning messy data, applying aggregations, visualizing trends, and presenting findings through data storytelling. These labs are structured to mirror actual workflows used by data professionals, reinforcing skills in data preprocessing, regression analysis, classification models, and result communication using clear visualizations and reports.

By completing the Python for Data Analytics and Machine Learning course, candidates are fully prepared to earn the PCED™ certification, which is recognized globally and serves as a stepping stone to advanced credentials like PCAD™ and PCPD™. According to the 2021 Value of IT Certification Report by Pearson VUE, 66% of hiring managers are more likely to select certified candidates for interviews, and 28% of certification holders report salary increases. Koenig Solutions enhances this path with Guaranteed-to-Run batches, official courseware, and 1-on-1 instructor support, ensuring learners master the material effectively. Graduates emerge ready to pursue roles in data analytics and machine learning, equipped to contribute immediately in AI-driven environments and advance toward senior data science positions.

What You'll Learn

Master PEP 8 standards and Python data structures to write modular, production-ready code for data analysis
Perform feature engineering and data cleaning on datasets exceeding 1 million rows to ensure high-quality input for modeling
Analyze complex datasets using NumPy and descriptive statistics to identify statistically significant patterns and trends
Design professional data visualizations with Matplotlib and Seaborn to communicate findings according to industry reporting standards
Implement object-oriented programming to build scalable machine learning workflows and deploy scikit-learn pipelines to production environments
Evaluate model performance using cross-validation and hyperparameter tuning to optimize predictive accuracy and reliability

Skills You'll Gain

Python Data Analysis Pandas DataFrames NumPy Arrays Matplotlib Visualization Seaborn Charts SQL Data Queries Data Cleaning Techniques Data Normalization Descriptive Statistics Inferential Statistics Exploratory Data Analysis Regression Analysis Model Evaluation Python Exception Handling Object-Oriented Programming Data Validation API Data Extraction

Prerequisites

Recommended knowledge before taking this course
  • To ensure success in the Python for Data Analytics and Machine Learning course by the Python Institute, learners must meet specific prerequisites that build a strong foundation for advanced data science workflows.
  • Required Prerequisites:
  • - PCAP – Certified Associate in Python Programming (or equivalent knowledge) as the official baseline for the Python Institute learning path.
  • - Proficiency in core Python data structures, including lists, dictionaries, and tuples.
  • - Competence in fundamental programming concepts such as variables, loops, functions, and data type conversion.
  • - Practical experience in writing and debugging Python scripts.
  • Recommended Prerequisites:
  • - A solid grasp of mathematical concepts, specifically arithmetic operations, percentages, and averages, to effectively perform data analysis.
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Certification Exam

Everything you need to know about the Python for Data Analytics and Machine Learning (Oracle) certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates must wait 24 hours before retaking the Python for Data Analytics and Machine Learning exam. Each retake requires a new voucher purchase. There is no limit on total attempts, though each must be purchased separately.
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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.”

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

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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.

    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
  • ★★★★★

    “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 for Data Analytics and Machine Learning (Oracle) training course

Is the certification exam included in the Python for Data Analytics and Machine Learning course, and what is the cost if separate?
The Python Institute certification exam is not included in the course fee. The PCED – Certified Entry-Level Data Analyst with Python exam costs $69 for a single attempt, $86 with one retake, or $95 with retake and practice test.
What training formats does Koenig offer for this course, and are they Guaranteed-to-Run?
Koenig offers live online 1-on-1, classroom, and self-paced Flexi training for Python for Data Analytics and Machine Learning. Public batches are Guaranteed-to-Run, providing confirmed schedules so you can plan your professional development without fear of last-minute cancellations.
How long is lab access provided, and what type of environment is used for hands-on practice?
You receive 30 days of post-training access to a cloud-based sandbox. This environment allows you to practice Python for Data Analytics and Machine Learning using industry-standard tools like Jupyter, Pandas, and NumPy without needing local software installations.
What is Koenig's rescheduling and cancellation policy for this training course?
Rescheduling is free with 7 days' notice. Cancellations within 7 days incur fees up to 50% of the course cost. To maintain batch integrity for Python for Data Analytics and Machine Learning, the same training cannot be rescheduled twice.
What is the format, number of questions, passing score, and time limit for the PCED certification exam?
The PCED exam features 40 scenario-based and multiple-select questions. You have 60 minutes to achieve a 75% passing score. It is delivered via the OpenEDG TestNow™ platform to validate your Python for Data Analytics and Machine Learning skills.
How long is the PCED certification valid, and what is the renewal process and cost?
The PCED certification is valid for 7 years. After this period, you must recertify by passing the current version of the exam. There are no continuing education credits or fee waivers available per official Python Institute policy.
What post-training support does Koenig provide after completing the Python for Data Analytics and Machine Learning course?
Koenig offers 30 days of support, including practice tests, cloud labs, and expert instructor guidance. You also receive official e-courseware and a certificate of completion to help you master Python for Data Analytics and Machine Learning effectively.
What are the prerequisites or prior experience needed for the Python for Data Analytics and Machine Learning course?
While there are no strict prerequisites, we recommend PCEP-level Python knowledge and basic statistics. This course is designed to help you transition into professional data analytics or machine learning roles using Python for Data Analytics and Machine Learning.
What salary increase or career opportunities can one expect after completing this certification?
Certified Data Analysts with Python skills often earn $60,000 to $85,000 annually in the U.S. Earning this credential validates your expertise in Python for Data Analytics and Machine Learning, significantly improving your job placement and career advancement potential.
How does instructor-led training compare to self-study for passing the PCED certification exam?
Instructor-led training provides real-time mentorship and structured lab practice, which increases first-attempt pass rates. Unlike self-study, Koenig’s training for Python for Data Analytics and Machine Learning includes exam-focused materials that accelerate your readiness and professional success.
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