Clinical Data Science
Work with the latest industry tools and learn how to apply them in the domain of clinical data science.
OVERVIEW
Why Clinical Data Science
The increasing demand for medicines is pressurizing pharmaceutical research and development organizations to adopt computational tools to make research processes more efficient. There is massive demand today for trained professionals in the cross-functional domain of Bio-IT.
In This Course
Get introduced to statistics with industry languages, R, SAS, SQL, Machine Learning, and Tableau. Receive end-to-end training on all Clinical research areas with a special focus on clinical trial management processes and documentation.
The Sollers Advantage
Our Certificate in Clinical Data Science program is taught by faculty experienced in the industry.
HIGHLIGHTS
Proficient Instructors: Experts with 15+ years of industrial experience guiding students and providing real-time examples and scenarios.
Software and Tools: Get in-depth knowledge of Data Mining machine learning tools with R, SAS analytical tools, Data Visualization with Tableau, and SQL.
Curriculum: Job-oriented, industry-based curriculum, full-fledged access to program content, batch recordings, and tools after one year of program completion.
Certification: Students will receive a course completion certificate.
Career Guidance: Our career service advisors provide guidance for the resume and interview preparation.
References: References for the jobs in this field.
LEARNING OUTCOMES
- Proficiency in statistics and R
- Expertise in Tableau, and handling bias issues in data visualization
- Understand and learn the Structured Query Language (SQL) and RMDBS standards
- Application of machine learning methodologies
- Understand the Drug Development Process and Clinical research process
- Expertise in SAS
- SAS Clinical with industry CDISC (SDTMand ADAM)
- SAS Clinical Data Integration
SYLLABUS
To get the complete syllabus, please login with your email ID.
INSTRUCTORS
Our instructors are not just highly experienced in the industry, they give you the personal attention you need and guide you every step of the way.
Course Duration
15- 18 weeks (20+ hours each week)
3-4 Sessions /week
Engagement
300 hours
For information regarding fee and/or reserving your spot, contact our Admissions Team.
Credit transfers applicable for alumni
Career Guidance
After the completion of program, we assist our students with interview coaching, resume building sessions, conduct mock interviews, job readiness training and make them competent to venture into the corporate world.
We provide exclusive one-on-one sessions with our industry-based career advisors who provide guidance right from resume feedback, assisting with interview Q&As, and helping with job preparations.
Student Testimonials
FAQs
Clinical Data Science is one of the fastest growing career paths and best paid career paths. Data scientists and clinical SAS analysts use a combination of programming, statistical perspective and domain expertise to do so. They are expected to be in large demand as businesses grow in storing the data that they generate to achieve competitive differentiation in their products and services.
The program focuses on the convergence between traditional clinical SAS analytics, and data science that’s been occurring within the healthcare industry for analytics. The curriculum will focus on Clinical research, clinical data management, SAS, SQL, statistical modeling, data visualization with Tableau and business analytics.
Our students come from all different backgrounds, with the most competitive candidates including those with Bachelors, Masters, or PhD Degree in Statistics, and Sciences. Some have similar backgrounds to Clinical Research.
Our 300-hour program can be completed in as little as 15 weeks – All of the programs offered by Sollers have been designed to best suit those seeking to enter the fields of clinical research, healthcare, pharmaceuticals, and IT among other domains.
It is preferable that a student be a Bachelors or a Masters graduate in STEM / Science; including Statistics, Engineering, Computer Science or other sciences. Some students may have sufficient knowledge in some areas.
Clinical Data Science is one of the fastest growing and best paid career paths. According to the Global Clinical Data Analytics Market (2019) Report, by Journal Worldwide, the market will grow to an even stronger $16.58 Billion by the end of 2023 – with a growth rate (CAGR) of 33.07% per year. This represents an incredible opportunity to get in on the ‘ground floor’ of a major revolution in clinical data science!
Core knowledge of Clinical SAS Analytics and Data Science topics; including Clinical research, Clinical data management, statistics, and data visualization, with conceptual and practical application of theories and tools used by the industry
Experience in using Statistical Analysis and Database management tools such as SAS, MySql, Tableau, R, Python
Ability to Dive into the workplace with a competitive skill set by taking large amounts of data and get heavily involved in the life cycle of a full-fledged Clinical SAS Analyst
Anybody with a background in a STEM, computer science or statistics, who would like to broaden or advance their career opportunities.