Data Science: pandas, scikit-learn & Model Building
The Data Science Fundamentals course by Koenig Original equips aspiring data scientists, business analysts, and IT professionals with core skills in Python-based data manipulation, exploratory analysis, and machine learning model building. Designed for those overcoming gaps in practical data science application, it addresses the industry’s urgent need—LinkedIn projects a 35% annual growth in data science roles, widening the talent shortage.
This course prepares learners for real-world data challenges with hands-on labs and end-to-end workflows using real datasets. Koenig’s Guaranteed-to-Run scheduling ensures timely access to live, instructor-led training, empowering professionals to transition confidently into data-driven roles or advance within their current organizations.
Training Formats & Pricing
100% Happiness Guarantee · Free Rescheduling · Secure Payment
Course Overview
The Data Science Fundamentals course by Koenig Original is a comprehensive 16-hour training program designed for aspiring data analysts, junior data scientists, and business intelligence professionals seeking to build foundational expertise in data-driven decision-making. While not tied to a specific certification exam, this course aligns closely with core competencies tested in entry-level data science credentials such as the ISACA Data Science Fundamentals - ITCA. Participants will gain hands-on experience in the complete data science lifecycle—from data acquisition and cleaning to analysis, visualization, and model building. With data science roles growing at a 35% annual rate according to the U.S. Bureau of Labor Statistics, this course meets rising industry demand, preparing learners for roles where data fluency is essential across finance, healthcare, and technology sectors.
Students engage with key tools and platforms including Python, Jupyter Notebooks, pandas, matplotlib, seaborn, and scikit-learn within a cloud-based lab environment using real-world datasets. The hands-on lab component emphasizes practical skill-building, such as performing exploratory data analysis (EDA), cleaning and transforming raw data, and creating insightful visualizations. A key project involves analyzing the Titanic dataset to extract patterns and build predictive models. On Day 2, learners complete a real-world use case by building a customer churn prediction model using logistic regression, evaluating performance with confusion matrices and ROC curves, and applying cross-validation and hyperparameter tuning techniques—all within the Jupyter environment to simulate industry workflows.
This course prepares participants for entry-level data science roles and serves as a stepping stone toward recognized credentials like the ISACA Data Science Fundamentals - ITCA, which is increasingly adopted by enterprises for validating core analytical skills. Graduates can expect strong career outcomes, with entry-level data analysts earning an average of $75,000 annually in the U.S., according to Glassdoor (2024). Koenig Original differentiates itself through its Guaranteed-to-Run (GTR) scheduling and access to official e-courseware, ensuring consistent, high-quality training. Upon completion of the Data Science Fundamentals course, learners will be equipped to apply end-to-end data science workflows and transition into roles that demand actionable insights from data.
What You'll Learn
Skills You'll Gain
Prerequisites
- Basic Python programming skills essential for Data Science Fundamentals by Koenig Original
- Familiarity with Excel or CSV data formats to handle real-world datasets
- Fundamental understanding of statistics such as mean, median, and variance to analyze data effectively
- Basic understanding of linear algebra (matrices/vectors) to prepare for mathematical rigor
- Recommended Technical Proficiency: Working knowledge of Jupyter Notebooks for interactive data analysis
- Recommended Technical Proficiency: Experience with pandas DataFrames, including filtering, sorting, and grouping data
- Understanding of descriptive statistics like standard deviation, correlation, and outliers to interpret data insights
- Note: If you lack these prerequisites, Koenig Original offers a foundational Python for Data Science bridge module.
Certification Exam
Everything you need to know about the Data Science: pandas, scikit-learn & Model Building certification exam
Course Curriculum
Structured learning with hands-on labs and real-world scenarios
1
Day 1– Mastering Data Exploration
2
Day 2– Applied Data Science Insights
What's Included in Your Training
Every enrollment comes packed with resources to maximise your learning and exam success
Exam Preparation Materials
Practice Test Questions (200+)
Certificate of Completion
Post-Training Support (30 days)
Session Recording Access
Free Rescheduling (7+ days notice)
Career Outcomes
of Data Science: pandas, scikit-learn & Model Building certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the Data Science: pandas, scikit-learn & Model Building certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- Data Analyst
- Junior Data Scientist
- Business Intelligence Analyst
- Data Associate
- Analytics Consultant
- Data Operations Assistant
Companies Hiring
and 5,000+ organizations worldwide seeking Data Science: pandas, scikit-learn & Model Building certified professionals
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified
-
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
Frequently Asked Questions
Everything you need to know about the Data Science: pandas, scikit-learn & Model Building training course
Is the certification exam included in the Data Science Fundamentals course fee?
What training formats are available for the Data Science Fundamentals course, and is Guaranteed-to-Run scheduling offered?
How long is lab access provided after enrollment, and what environment is used for the Data Science Fundamentals course?
What is Koenig's rescheduling and cancellation policy for the Data Science Fundamentals course?
What is the format, number of questions, passing score, and time limit for the Data Science Fundamentals certification exam?
How long is the Data Science Fundamentals certification valid, and what is the renewal process and cost?
What post-training support does Koenig provide after completing the Data Science Fundamentals course?
What are the prerequisites or prior experience needed for the Data Science Fundamentals course?
What is the average salary impact or career benefit after completing the Data Science Fundamentals certification?
How does the Data Science Fundamentals course compare to self-study in terms of outcomes and effectiveness?
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