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We're here to help you find itMATLAB for Data Analytics and Machine Learning certification helps to ensure proficiency in using MATLAB, a high-level programming language, for data analysis and Predictive Modeling. This certification is used by industries to detect employees skilled in MATLAB's machine learning algorithms, data visualization, Data Preprocessing, and Natural Language Processing. Emphasis is put on understanding the fundamental concepts associated with machine learning such as Regression, Classification, Clustering and Neural Networks. Additionally, it also shows an individual’s capability to utilize MATLAB's in-built graphics for data visualization and Exploratory Data Analysis. Achieving this certification indicates readiness for applying MATLAB's Advanced Analytics in a professional setting.
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| Course Fee | 1,700 |
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Total Fees |
1,700 (USD) |
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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
Koenig Learning Stack
Free Pre-requisite TrainingJoin a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.
Assessments (Qubits)Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.
Post Training ReportsReceive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.
Class RecordingsGet access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.
Free Lab ExtensionsExtend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.
Free Revision Classes Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
- Basic knowledge of data analysis concepts
- Understanding of machine learning algorithms
- Familiarity with MATLAB programming language
- Hands-on experience in MATLAB software handling
- Basic knowledge of statistics
- Conceptual understanding of Neural Networks.
MATLAB for Data Analytics and Machine Learning certification training provides comprehensive knowledge on how to use MATLAB for data analysis, modeling, simulations, and creating algorithms. It covers topics like data visualization, statistical analysis, machine learning algorithms, and predictive modeling. This certification helps professionals to effectively solve complex mathematical problems and generate extensive data analysis and visualization. The course aims to equip learners with practical skills through hands-on projects and simulations to make data-driven decisions.
Learning MATLAB for Data Analytics and Machine Learning course in stats can offer numerous benefits. It allows for effective data analysis and visualization, sophisticated algorithms for ML models, and is widely active in industry and academia. MATLAB also supports interfacing with other languages, making it versatile for various data analysis needs.
• Professionals in the field of data analytics and machine learning.
• Students pursuing studies in computer science or related fields.
• Researchers working on complex computations and simulations.
• Engineers who need data visualization tools.
• IT professionals looking for skills upgrade.
• Aspiring data scientists aiming for practical experience.
- Access to Certified Instructors ensures high-quality teaching and guidance.
- Customized Training Programs tailored to individual skill levels and career goals.
- Flexible Dates allows students to choose a schedule that fits their convenience.
- Instructor-Led Online Training ensures personalized attention and interactive learning.
- Wide Range of Courses designed to cater to different learning objectives.
- Accredited Training guarantees recognized and valuable certification.
- Affordable Pricing makes top-quality training accessible to all.
- Destination Training offers unique learning experience in exotic locations.
- Boost Your Career by acquiring in-demand skills in MATLAB for data analytics and machine learning.
- Top Training Institute assures premier and reliable education services.
After completing MATLAB for Data Analytics and Machine Learning certification training, individuals acquire a range of skills like data import and export in MATLAB, data visualization, data preprocessing, statistical analysis, predictive modeling and machine learning algorithms. They also learn to create algorithms, use built-in graphics, and refine their coding skills. Furthermore, they understand how to work with various kinds of data and formats, and practical application of machine learning in solving real life analytical problems.
| Data Analyst | $60,000 - $80,000 |
| Machine Learning Engineer | $80,000 - $120,000 |
| Data Scientist | $90,000 - $140,000 |
| Business Intelligence Analyst | $70,000 - $100,000 |
| Matlab Developer | $75,000 - $120,000 |
Top companies such as MathWorks, Intel, Microsoft, IBM, Google, and Amazon are actively seeking professionals certified in MATLAB for Data Analytics and Machine Learning. These firms heavily rely on big data and advanced technology for their operations and strategic decision-making, augmenting the demand for skilled individuals in these specialized fields.
The learning objectives for a MATLAB for Data Analytics and Machine Learning course include equipping learners with the ability to perform advanced data analytics using MATLAB tools, enhancing their skills in formulating machine learning models and algorithms. This course aims to impart knowledge on how to leverage MATLAB for predictive modeling and decision-making processes. Learners should be able to understand and apply various statistical, machine learning methods for data analysis, and visualization. They should be proficient in implementing machine learning algorithms, including regression, classification, and clustering, and apply these skills to solve real-world data analysis problems.
