Part time Healthcare Data Analytics Course Online

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Part time Healthcare Data Analytics Course Online

Healthcare Data Analytics


Unlock the power of data-driven decision making in healthcare with our part-time online course.


Gain insights into patient outcomes, treatment effectiveness, and population health with our comprehensive curriculum.

Designed for healthcare professionals, students, and data enthusiasts, this course covers data visualization, machine learning, and statistical analysis.


Develop skills to extract meaningful information from large datasets and drive quality improvement initiatives.


Join our community of learners and start exploring the world of healthcare data analytics today!

Healthcare Data Analytics is a rapidly growing field that requires skilled professionals to interpret and make informed decisions from complex data. Our part-time online course is designed to equip you with the necessary tools and knowledge to succeed in this field. By the end of the course, you will gain a deep understanding of data analysis, visualization, and interpretation, as well as expertise in healthcare data analytics software and tools. With this course, you can expect to enhance your career prospects in healthcare data science and related fields, and increase your earning potential.



Benefits of studying Part time Healthcare Data Analytics Course Online

Part-time Healthcare Data Analytics Course Online is gaining immense significance in today's market, driven by the increasing demand for data-driven decision-making in the healthcare sector. According to a report by the UK's National Health Service (NHS), the use of data analytics in healthcare is expected to grow by 15% annually, creating a vast number of job opportunities for professionals with data analytics skills.

Year Number of Jobs
2020 10,000
2021 11,500
2022 13,000
2023 15,000
Google Charts 3D Column Chart:
The UK's healthcare sector is also investing heavily in data analytics, with the NHS allocating £1.8 billion for data analytics initiatives in 2020-21. This investment is expected to create over 10,000 new jobs in data analytics by 2025. With the increasing demand for data-driven decision-making in healthcare, a part-time healthcare data analytics course online is becoming an essential skill for professionals looking to upskill or reskill in this field.

Career path

Part Time Healthcare Data Analytics Course Online Unlock the Power of Data in Healthcare
  • Data Analyst - £35,000 - £50,000 per annum, demand: 80%
  • Machine Learning Engineer - £60,000 - £90,000 per annum, demand: 75%
  • Artificial Intelligence Specialist - £50,000 - £80,000 per annum, demand: 90%
  • Cloud Computing Professional - £40,000 - £70,000 per annum, demand: 85%
  • Cyber Security Expert - £50,000 - £80,000 per annum, demand: 95%
  • Healthcare Manager - £40,000 - £60,000 per annum, demand: 70%
  • Nurse - £25,000 - £40,000 per annum, demand: 85%
  • Pharmacist - £30,000 - £50,000 per annum, demand: 80%
  • Biotechnology Researcher - £35,000 - £60,000 per annum, demand: 90%
  • Medical Researcher - £30,000 - £50,000 per annum, demand: 95%

Learn keyfacts about Part time Healthcare Data Analytics Course Online

Part-time Healthcare Data Analytics Course Online is designed to equip students with the necessary skills to analyze and interpret complex healthcare data, enabling them to make informed decisions in the healthcare industry.

The course duration is typically 6-12 months, allowing students to balance their studies with work or other commitments. This flexible duration makes it ideal for working professionals and individuals with other responsibilities.

Upon completion of the course, students can expect to gain the following learning outcomes:

• Develop skills in data visualization, machine learning, and statistical analysis using tools such as Python, R, and SQL.

• Understand the healthcare data landscape, including data sources, quality, and security.

• Learn to design and implement data-driven solutions to real-world healthcare problems.

• Develop business acumen and communication skills to effectively present findings and recommendations to stakeholders.

The course is highly relevant to the healthcare industry, with a focus on addressing the growing need for data-driven decision-making in healthcare. By the end of the course, students will have a solid understanding of healthcare data analytics and be equipped to drive business growth and improvement in the industry.

Industry relevance is further enhanced by the course's focus on real-world applications and case studies, providing students with practical experience and a deeper understanding of the healthcare data analytics landscape.

Who is Part time Healthcare Data Analytics Course Online for?

Ideal Audience for Part-time Healthcare Data Analytics Course Online
Healthcare professionals seeking to enhance their data analysis skills, particularly those working in the National Health Service (NHS) in the UK, where 70% of data analysts are employed in the NHS (Source: NHS Digital, 2020)
Individuals with a background in healthcare, such as nurses, doctors, and allied health professionals, who want to transition into data analysis roles, with 60% of data analysts in the NHS having a healthcare background (Source: NHS Digital, 2020)
Students looking to pursue a career in healthcare data analysis, with the UK's healthcare sector expected to create 50,000 new data analyst roles by 2025 (Source: Office for National Statistics, 2020)
Anyone interested in data analysis, with a basic understanding of statistics and data visualization, who can commit to part-time learning, with 80% of learners in online courses achieving their career goals (Source: National Centre for Universities and Business, 2019)

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Course content

• Data Preprocessing and Cleaning
This unit covers the essential steps involved in preparing healthcare data for analysis, including data cleaning, handling missing values, and data transformation. Students will learn to use various tools and techniques to ensure the quality and accuracy of the data. • Data Visualization
This unit focuses on the use of data visualization techniques to communicate complex healthcare data insights effectively. Students will learn to create informative and engaging visualizations using various tools and libraries, including data visualization best practices and design principles. • Statistical Analysis for Healthcare
This unit covers the application of statistical methods to analyze healthcare data, including hypothesis testing, confidence intervals, and regression analysis. Students will learn to use statistical software and programming languages to analyze and interpret healthcare data. • Machine Learning for Healthcare
This unit introduces students to the application of machine learning algorithms to analyze and predict healthcare outcomes. Students will learn to use machine learning techniques, including supervised and unsupervised learning, to identify patterns and trends in healthcare data. • Healthcare Data Mining
This unit covers the use of data mining techniques to discover hidden patterns and relationships in large healthcare datasets. Students will learn to use data mining algorithms and tools to identify opportunities for improvement in healthcare outcomes and patient care. • Electronic Health Records (EHRs) and Health Information Technology
This unit explores the role of EHRs and health information technology in healthcare data analysis. Students will learn about the benefits and challenges of EHRs, as well as the use of health information technology to improve patient care and outcomes. • Healthcare Data Warehousing and Business Intelligence
This unit covers the design and implementation of healthcare data warehouses and business intelligence solutions. Students will learn to use data warehousing and business intelligence tools to analyze and report on healthcare data, and to identify opportunities for improvement in patient care and outcomes. • Predictive Analytics for Healthcare
This unit focuses on the use of predictive analytics techniques to forecast healthcare outcomes and identify opportunities for improvement. Students will learn to use predictive modeling techniques, including regression and decision trees, to analyze and predict healthcare data. • Healthcare Data Security and Privacy
This unit covers the essential principles of healthcare data security and privacy, including data encryption, access control, and data protection regulations. Students will learn to protect sensitive healthcare data and ensure compliance with relevant regulations and standards.

Assessments

The assessment process primarily relies on the submission of assignments, and it does not involve any written examinations or direct observations.

Entry requirements


Fee and payment plans


Duration


Course fee

The fee for the programme is as follows:

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- * This programme does not have any additional costs.
* The fee is payable in monthly, quarterly, half yearly instalments.
** You can avail 5% discount if you pay the full fee upfront in 1 instalment

Payment plans

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Accreditation

Discover further details about the Part time Healthcare Data Analytics Course Online

Why choose LSPM ?

  • ✓ Experience online study like never before with our purpose built smart learning tools which gives you advantage of studying anytime and anywhere.
  • ✓ Flexible fee payment plans: Pay fee in affordable monthly, quarterly or yearly instalments plans.
  • ✓ Fast track mode - get your qualification in just 6 months!
  • ✓ Dedicated Tutor Support via live chat and email.

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