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Essential Maths & Statistics for Machine Learning with MATLAB Beginner

The Essential Maths & Statistics for Machine Learning with MATLAB certification focuses on the foundational mathematics and statistics concepts required for <a href="machine-learning-training">machine learning</a>. It includes topics such as linear algebra, calculus, probability, hypothesis testing, and statistical modeling. These concepts form the basis for algorithm development, data modeling and prediction essential in <a href="machine-learning-training">machine learning</a> applications. Industries use this competency to design and develop accurate, efficient <a href="machine-learning-training">machine learning</a> models. By leveraging MATLAB, a high-level language and interactive environment used for numerical computation, visualization and programming, they can expediently solve complex mathematical computations and build <a href="machine-learning-training">machine learning</a> models. This strengthens their abilities to understand, predict, and enhance their operational performances.<br/><br/>

16 Hours (2 Days)
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0+ professionals trained

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1-on-1 USD 1,100
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Public Batch USD 850
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Course Overview

The Essential Maths & Statistics for Machine Learning with MATLAB course by MATLAB is designed to equip learners with the foundational mathematical and statistical knowledge required to understand and implement machine learning algorithms effectively. While no specific certification exam is tied directly to this course, it serves as a critical prerequisite for professionals preparing for advanced data science and machine learning certifications. This training is ideal for Data Analysts, Business Analysts, and Data Scientists who aim to strengthen their quantitative skills for model development and evaluation. According to MathWorks, over 80% of Fortune 100 companies use MATLAB for data analysis and algorithm development, underscoring the platform's industry relevance and demand.

Participants engage with core mathematical and statistical concepts using MATLAB’s interactive environment, including Statistics and Machine Learning Toolbox, Linear Algebra operations, Probability Distributions, Descriptive and Inferential Statistics, and Calculus fundamentals such as derivatives and gradient descent. The hands-on lab component takes place in the MATLAB Live Editor, where students build and visualize statistical models, perform data summarization, create distribution plots, and conduct hypothesis testing. A key real-world project involves analyzing a dataset to compute central tendency, dispersion, and correlation, then applying inferential statistics to draw actionable business insights from sample data.

This course prepares learners for advanced studies in machine learning and data science, supporting pathways toward recognized credentials like the MATLAB Associate Certification. Professionals with strong foundations in mathematical modeling and statistics earn median salaries of $95,000–$125,000 in data-centric roles, according to U.S. Bureau of Labor Statistics (2023). Koenig Solutions enhances this learning experience with 1-on-1 instructor-led training and Guaranteed-to-Run batches, ensuring personalized attention and flexibility. Upon completion, participants are well-positioned to advance into machine learning engineering, predictive analytics, or AI research roles with confidence in their analytical rigor.

What You'll Learn

Import and organize data efficiently with MATLAB for machine learning projects
Calculate key summary statistics in MATLAB to understand data distributions
Visualize data distributions clearly using MATLAB to identify patterns and outliers
Perform hypothesis tests in MATLAB to validate data assumptions and insights
Fit accurate regression models with MATLAB's Statistics and Machine Learning Toolbox to predict outcomes
Reduce data dimensionality with PCA in MATLAB to simplify complex datasets and improve model performance

Skills You'll Gain

Algebraic Equations Quadratic Equations Functions Basics of Calculus Differentiation and Derivatives Derivative Rules Partial Derivatives Gradient Descent Integration Vector Operations Matrix Foundation MATLAB Matrix Transformation Eigenvalues Eigenvectors Probability Density Functions Normal Distributions Hypothesis Testing Confidence Intervals

Prerequisites

Recommended knowledge before taking this course
  • Basic programming skills in MATLAB for effective data analysis
  • Understanding of linear algebra concepts such as vectors, matrices, and matrix operations essential for machine learning
  • Knowledge of multivariate calculus, including partial derivatives and gradient descent algorithms
  • Familiarity with descriptive statistics like mean, median, standard deviation, and variance for data summarization
  • Understanding of probability fundamentals, including conditional probability and random variables critical for statistical modeling
  • Experience with data visualization techniques using MATLAB to interpret and communicate data insights
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Certification Exam

Everything you need to know about the Essential Maths & Statistics for Machine Learning with MATLAB certification exam

Exam Details
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Multiple choice, labs & case studies
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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 Essential Maths & Statistics for Machine Learning with MATLAB certified professionals report career advancement within 6 months

Salary Impact

+20%

Average salary increase reported after obtaining the Essential Maths & Statistics for Machine Learning with MATLAB 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
  • Machine Learning Engineer
  • Data Scientist
  • Quantitative Analyst
  • Statistician
  • Research Scientist
  • MATLAB Developer

Companies Hiring

5,000+
MathWorks Google Microsoft IBM Boeing JPMorgan Chase Accenture Siemens Toyota

and 5,000+ organizations worldwide seeking Essential Maths & Statistics for Machine Learning with MATLAB certified professionals

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.”

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    “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 Essential Maths & Statistics for Machine Learning with MATLAB training course

Is the certification exam included in the Essential Maths & Statistics for Machine Learning with MATLAB course fee?
The certification exam is not included in the course fee and requires separate purchase. The MathWorks Certified MATLAB Professional Exam costs USD 400, as per the official MathWorks schedule. Academic customers may access discounted pricing by verifying their account status during registration.
What training formats are available for Essential Maths & Statistics for Machine Learning with MATLAB, and is Guaranteed-to-Run scheduling offered?
Koenig provides live online 1-on-1, classroom, and self-paced Flexi training for this MATLAB course, all featuring Guaranteed-to-Run scheduling. This ensures your session proceeds as planned regardless of enrollment, providing reliable access to expert-led instruction via the Koenig LET Platform or global classrooms.
How long is lab access provided, and what environment is used for Essential Maths & Statistics for Machine Learning with MATLAB practice?
Lab access is provided for 6 months through Koenig’s LET Platform using cloud-hosted MATLAB environments. These vendor-aligned sandboxes offer real-time access to MATLAB tools, enabling you to perform statistical analysis, build machine learning models, and practice data visualization without needing local software installations.
What is the rescheduling and cancellation policy for this Essential Maths & Statistics for Machine Learning with MATLAB course?
Koenig allows one free rescheduling if requested over 10 days before the start date; changes within 10 days incur a 50% fee. Cancellations follow the same policy and require written notice. Per Terms of Service, the same training session cannot be rescheduled more than once.
What is the format, duration, and passing criteria for the MATLAB certification exam associated with this course?
The MathWorks Certified MATLAB Professional Exam lasts 3.5 hours, featuring 25 multiple-choice questions and 8 performance-based coding problems. Passing criteria follow psychometric standards rather than a fixed percentage. You must meet minimum scoring thresholds in both sections to earn your professional certification.
How long is the MATLAB certification valid, and what is the renewal process for this credential?
MathWorks certifications do not expire but may require passing updated exams to maintain validity. Per MathWorks Certification Program Policies, you must comply with any new exam requirements introduced by the vendor to continue using the official designation and logo associated with your professional credential.
What post-training support does Koenig provide after completing the Essential Maths & Statistics for Machine Learning with MATLAB course?
Koenig provides 6 months of post-training support, including lab access, session recordings, and mentor availability for technical queries. You also benefit from our Happiness Guarantee, which allows a free retake if unsatisfied, alongside expert career guidance and comprehensive exam preparation resources to ensure your success.
What are the prerequisites for the Essential Maths & Statistics for Machine Learning with MATLAB course?
To succeed, you should possess basic knowledge of algebra, calculus, and statistics, plus introductory programming experience in MATLAB. Familiarity with matrix operations, probability distributions, and data visualization is recommended to fully master the mathematical foundations of machine learning covered throughout this intensive training program.
What career impact can professionals expect after completing the Essential Maths & Statistics for Machine Learning with MATLAB course?
Completing this MATLAB course prepares you for roles like data scientist or machine learning engineer, with median salaries ranging from $142,000 to $206,000. Certification significantly boosts your credibility and job readiness, helping you secure high-demand positions within the competitive AI and advanced engineering sectors.
How does instructor-led training compare to self-study for mastering Essential Maths & Statistics for Machine Learning with MATLAB?
Instructor-led training provides interactive, structured learning with real-time doubt resolution, increasing competence by 144% compared to unguided self-study. With expert mentorship and guaranteed schedules, you gain a deeper understanding of gradient descent, linear algebra, and statistical modeling essential for high-level machine learning applications.
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