Data Science and Machine Learning: Mathematical and Statistical Methods Intermediate
The "Data Science and Machine Learning: Mathematical and Statistical Methods" course equips data analysts, data scientists, and business analysts with foundational mathematical and statistical skills essential for interpreting and building machine learning models. It addresses the critical industry gap where 87% of data science projects fail due to inadequate understanding of underlying math principles. Learners gain proficiency in linear algebra, probability, hypothesis testing, and regression analysis using real-world datasets.
This Open Source course prepares learners for the Anaconda Certified: Math Fundamentals for Data Science and Machine Learning credential, featuring 30-day lab access for hands-on practice. Koenig Solutions’ Guaranteed-to-Run schedules ensure timely, structured learning, empowering professionals to advance into high-impact roles in data science and AI.
Training Formats & Pricing
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Course Overview
The Data Science and Machine Learning: Mathematical and Statistical Methods course by Open Source provides a rigorous foundation in the core mathematical and statistical principles underpinning modern data science and machine learning. Designed for aspiring data scientists, machine learning engineers, and quantitative analysts, this program equips learners with the theoretical depth needed to understand and implement algorithms effectively. There is no single target certification exam, as the course serves as a foundational prerequisite for various vendor-neutral and vendor-specific credentials in the field. With demand for mathematically proficient data professionals rising—92% of enterprises now prioritize statistical literacy in AI hiring—the course meets a critical industry need. It is ideal for individuals seeking to move beyond algorithmic toolkits and master the underlying mechanics of regression, classification, and unsupervised learning.
Students engage with key tools including Python, NumPy, SciPy, scikit-learn, Jupyter Notebooks, and R, using them to implement mathematical methods in real-world contexts. The hands-on lab component, conducted primarily in the JupyterLab environment, challenges learners to build and evaluate models from scratch, including linear regression, logistic regression, k-nearest neighbors, decision trees, and principal component analysis. One core project involves analyzing the Boston Housing and Credit Default datasets to apply statistical learning techniques, perform cross-validation, and interpret model performance using confusion matrices and ROC curves. These labs reinforce theoretical concepts through practical application, ensuring students gain proficiency in both coding and mathematical reasoning.
This course prepares learners for advanced certifications such as the Certified Data Science Practitioner (CDSP) and Anaconda Certified: Math Fundamentals for Data Science and Machine Learning, both of which validate expertise in statistical modeling and algorithmic implementation. Graduates report average salary increases of 25–30% when transitioning into data science roles, with entry-level positions starting at $95,000 in the U.S. Koenig Solutions enhances this learning experience with its Guaranteed-to-Run schedule and access to official courseware, ensuring consistent, high-quality instruction. Upon completion, learners are positioned to pursue advanced studies in machine learning or directly enter roles requiring deep analytical rigor, such as AI researcher, data scientist, or statistical modeler.
What You'll Learn
Prerequisites
- High school-level algebra and calculus are recommended prerequisites for mastering Data Science and Machine Learning: Mathematical and Statistical Methods by Open Source. A solid foundation in these areas helps you understand complex algorithms and statistical models.
- Basic understanding of linear algebra, including vectors, matrices, and matrix operations, is essential for working with high-dimensional data and performing advanced computations in data science.
- Working knowledge of probability theory—covering random variables, probability distributions, and Bayes' Theorem—is crucial for developing predictive models and making data-driven decisions.
- Familiarity with statistical inference, such as estimation, hypothesis testing, and regression analysis, enables you to interpret data accurately and validate your models effectively.
- Proficiency in Python programming for numerical computing allows you to implement algorithms efficiently and handle large datasets seamlessly.
- Experience with singular value decomposition (SVD) and principal component analysis (PCA) concepts is vital for dimensionality reduction and feature extraction in machine learning projects.
Certification Exam
Everything you need to know about the Data Science and Machine Learning: Mathematical and Statistical Methods certification exam
Course Curriculum
Structured learning with hands-on labs and real-world scenarios
1
Day 1– Mastering Data Science and Machine Learning: Mathematical and Statistical Methods
2
Day 2– Statistical Learning Fundamentals for Open Source Data Science
3
Day 3– Advanced Monte Carlo Methods in Data Science
4
Day 4– Unsupervised Learning for Data Science and Machine Learning
5
Day 5– Regression Analysis in Data Science and Machine Learning
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)
Course Student 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.”
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 and Machine Learning: Mathematical and Statistical Methods training course
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