Data Science & Machine Learning (Python, R, SQL & Microsoft Azure) - Level 3,5 & 7

Imperial Academy

Multiple Choice Questions (MCQ)/Assignment

Included in course price

The Data Science & Machine Learning course has been prepared by focusing largely on Data Science & Machine Learning career readiness. Our Data Science & Machine Learning specialists designed it so that you will likely find yourself head and shoulders above the others. For better learning, one-to-one assistance will also be provided if any learners require it.

The Data Science & Machine Learning Bundle is one of the most prestigious training offered at Imperial Academy and is highly valued by employers for good reason. This Data Science & Machine Learning bundle course has been created with twenty-five premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field.

This Data Science & Machine Learning Course is meticulously developed and well-researched like every Imperial Academy course. Each topic is divided into Data Science & Machine Learning Elementary modules, allowing our students to grasp each lesson quickly.

The Data Science & Machine Learning course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card, you will get discounts on things like music, food, travel, clothes, etc.

Learning Outcomes

• Formulate complex predictive models, precisely utilizing advanced statistical methods and Deep Learning techniques reliably and precisely.
• Implement structured MLOps pipelines on Azure, successfully automating model training, deployment, and monitoring effectively.
• Master established programming languages (Python/R/SQL), translating business requirements into clean, scalable analytical code diligently.
• Execute advanced data engineering tasks, successfully designing and managing complex SQL databases and ETL processes professionally.
• Conduct thorough Big Data processing, utilizing core concepts of distributed computing frameworks successfully.
• Apply detailed knowledge of Azure services for data science, ensuring models are deployed securely and efficiently in the cloud correctly.
• Execute high-impact model governance and ethical AI practices, utilizing fairness and transparency frameworks diligently.
• Interpret and adhere to advanced statistical principles (e.g., Time Series, Bayesian), maintaining high academic and analytical rigor successfully.

• Aspiring Data Scientists and ML Engineers seeking an accelerated path to Master's-equivalent knowledge for high-level roles successfully.
• Existing Data Analysts (Level 3/4) who require advanced, strategic training (Level 7) to transition into leadership or specialist ML positions proficiently and strategically.
• IT/Tech Professionals (e.g., Software Engineers, DevOps) aiming to specialize in Machine Learning Operations (MLOps) and cloud deployment effectively.

Anyone can enrol in this comprehensive Multi-Level Programme, regardless of their prior academic background, making it accessible for immediate career entry and professional upskilling in service industries.

• Data Analyst (Level 3-4): $\text{£28000 to £40000}$
• Junior Data Scientist (Level 5): $\text{£40000 to £55000}$
• Mid-Level Data Scientist (Level 7 Competence): $\text{£58000 to £70000}$
• Machine Learning Engineer (MLOps Specialist): $\text{£65000 to £85000}$
• Cloud Data Engineer (Azure Focus): $\text{£60000 to £75000}$

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