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Data Science with Python Intermediate

The Data Science with Python course by Python Institute equips aspiring data analysts with foundational skills in Python programming, data collection, cleaning, and analysis using core libraries like NumPy and csv. Designed for beginners, it solves the challenge of breaking into data roles, with demand for data analysts projected to grow 14% through 2030 according to U.S. BLS.

This course prepares learners for the PCED™ – Certified Entry-Level Data Analyst with Python exam, a key step in the Python Institute Data Science track. Koenig’s official vendor-authorized courseware and 30-day lab access ensure hands-on mastery, empowering learners to confidently launch data careers and advance to the PCAD™ certification.

40 Hours (5 Days)
Live Online / Classroom
28+ professionals trained

Training Formats & Pricing

1-on-1 USD 2,350
Dedicated instructor, your schedule Fastest
Public Batch USD 1,700
Group class, fixed schedule Most Popular
Self-Paced USD 199
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Course Overview

The Data Science with Python course by Python Institute is designed to prepare learners for the PCAD™ – Certified Associate Data Analyst with Python (Exam PCAD-31-02) certification. This program is tailored for aspiring data analysts, junior data scientists, and business intelligence professionals seeking to master practical data analysis using Python and SQL. With Python being the primary language for 86% of data scientists, according to JetBrains, demand for skilled professionals continues to grow across industries. The course equips candidates with the competencies needed to collect, clean, analyze, and visualize data effectively, making it ideal for those pursuing roles such as data analyst, data associate, or analytics support specialist in data-driven organizations.

Participants engage with essential tools and libraries including Pandas, NumPy, Matplotlib, Seaborn, and SQL, all within a browser-based code playground environment provided through Edube Interactive. Hands-on labs emphasize real-world application, where students build complete data analysis pipelines—from extracting data via APIs and web scraping to cleaning datasets and performing statistical analysis. A key project involves creating an end-to-end data workflow that includes connecting Python to databases, executing SQL queries, and generating interactive visualizations. These practical exercises ensure learners gain experience with the full data lifecycle, simulating professional workflows used in modern analytics teams.

Achieving the PCAD™ certification validates professional data analysis skills and serves as a recognized milestone in the Python Institute’s Data Science track. Certified individuals gain a competitive edge in the job market, with junior data analyst roles in the U.S. offering salaries between $50,000 and $130,000 annually, according to Glassdoor and SalaryExpert. Koenig Solutions supports candidates with Guaranteed-to-Run training and access to official courseware, ensuring structured preparation. By completing the Data Science with Python program, learners are positioned to advance toward roles in analytics, data science, and business intelligence, with a strong foundation for pursuing the PCPD™ – Certified Professional Data Analyst with Python certification.

What You'll Learn

Clean and validate data efficiently using Python Institute's Data Science with Python methodologies, ensuring accurate analysis
Analyze complex datasets with Pandas and NumPy libraries to uncover meaningful insights
Create compelling data visualizations with Matplotlib and Seaborn to communicate findings clearly
Apply statistical methods for data analysis to identify trends and patterns accurately
Build robust regression models with Python Institute techniques to predict outcomes effectively
Evaluate machine learning models using Python to improve their accuracy and reliability

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in linear algebra, calculus, and probability distributions.
  • Familiarity with core programming concepts such as variables, data types, and control flow.
  • Previous experience in Python programming (PCEP™ certification or equivalent) recommended.
  • Practical experience with data manipulation libraries including NumPy and Pandas.
  • Proficiency in setting up a Python 3.x environment and working within Jupyter Notebooks or VS Code.
  • Ability to perform exploratory data analysis and interpret structured datasets.
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Certification Exam

Everything you need to know about the Data Science with Python certification exam

Exam Details
Exam Name
Data Science with Python
Exam Cost
$295
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Retake allowed after 15 days; unlimited attempts permitted; new voucher required per attempt unless bundle includes retake options
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Data Science with Python

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Data Analytics Fundamentals
Define core data concepts Categorize diverse data types Identify primary data sources Map full data lifecycles Support data-driven decision making Apply professional ethical standards Review global data regulations Analyze real-world business scenarios
2
Day 2– Programming Essentials (Aligned with PCAP Certification)
Manage variables and types Perform advanced string operations Implement logical conditional statements Develop efficient loop structures Construct modular custom functions Optimize list data structures Manage complex dictionary structures Debug code using Jupyter Notebooks and Anaconda
3
Day 3– Data Preparation and Cleaning with Pandas
Import CSV and Excel files using Pandas Handle DataFrames using Pandas Resolve missing data values Sanitize invalid data entries Structure datasets for analysis Prepare data for modeling Eliminate duplicate data records Perform rigorous quality validation
4
Day 4– Data Analysis and Exploration with NumPy and Scikit-learn
Perform vectorization with NumPy Compute essential descriptive statistics Apply NumPy broadcasting and indexing Conduct exploratory data analysis Extract actionable dataset insights Group and filter datasets using Pandas Calculate key performance metrics Implement basic preprocessing with Scikit-learn
5
Day 5– Communicating Insights with Matplotlib and Seaborn
Design impactful data visualizations Build professional charts using Matplotlib Create statistical plots with Seaborn Analyze complex visualization outputs Apply data storytelling techniques Present insights to stakeholders Structure high-impact analytical reports Communicate findings with clarity

What's Included in Your Training

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

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

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

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    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
  • ★★★★★

    “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 Data Science with Python training course

Is the certification exam included in the Data Science with Python training, and what is the cost?
The Data Science with Python certification exam is not included in the course fee. You must purchase the PCAD – Certified Associate Data Analyst with Python voucher separately for $295 via OpenEDG Testing Service. It remains valid for 12 months.
What training formats does Koenig offer for the Data Science with Python course, and is there a Guaranteed-to-Run option?
Koenig provides Live Online, 1-on-1, Classroom, and Self-Paced formats for Data Science with Python. Every listed batch is Guaranteed-to-Run. This ensures your session proceeds with even one participant, offering you total scheduling reliability and maximum flexibility for global learners.
How long is lab access provided, and what type of lab environment is used for the Data Science with Python course?
You receive 6 months of lab access post-training via the Koenig LET Platform. This cloud-based environment provides secure, real-world simulations for Data Science with Python. You can practice complex data analysis skills from any location with internet connectivity.
What is Koenig's rescheduling and cancellation policy for the Data Science with Python course?
Koenig offers a flexible policy for Data Science with Python. Reschedule without penalty with advance notice. Cancellations follow standard Terms of Service. Our Happiness Guarantee ensures a full refund if you are dissatisfied within the first 20% of training.
What is the format, number of questions, time limit, and passing score for the PCAD certification exam?
The PCAD exam for Data Science with Python features 48 scenario-based questions. You have 60 minutes to complete the test, excluding NDA time. A 75% score is required, covering data acquisition, programming, statistical analysis, modeling, and visualization domains.
How long is the PCAD certification valid, and what is the renewal process and cost?
The PCAD – Certified Associate Data Analyst with Python credential is valid for 6 years. There is no formal renewal path. To maintain status after expiration, you must retake the exam by purchasing a new $295 voucher from OpenEDG.
What post-training support does Koenig provide after completing the Data Science with Python course?
Koenig supports your Data Science with Python journey with 6 months of lab access, session recordings, and expert-led doubt-clearing sessions. You also benefit from our Happiness Guarantee, ensuring your professional satisfaction and support continuity well beyond the course completion date.
What prerequisites or prior experience are recommended for the Data Science with Python course?
There are no mandatory prerequisites for Data Science with Python. However, the Python Institute suggests foundational knowledge equivalent to PCAP and PCED certifications. Having basic Python and data handling skills will help you master the rigorous PCAD exam curriculum.
What is the expected salary impact or career progression after completing the Data Science with Python certification?
Earning the PCAD certification for Data Science with Python qualifies you for associate-level roles. U.S. salaries typically range from $65,000 to $95,000. This represents a 15–25% increase over non-certified peers, significantly boosting your earning potential in data-driven industries.
How does instructor-led training compare to self-study for the Data Science with Python certification in terms of pass rates and time efficiency?
Instructor-led training for Data Science with Python increases pass rates and reduces study time. Koenig’s structured expert guidance and hands-on labs ensure faster exam readiness. Self-study requires more discipline and often takes longer to achieve the same level of proficiency.
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