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.



    Projects

    1st Project

    Data Mining with R

    To work on Clinical / Health Care data and predict the probability of risk for a patient to develop a particular disease.

    2nd Project

    SAS

    Analysis Data Development – create analysis datasets for laboratory data.

    3rd Project

    SAS

    QC of SDTM Dataset Development – generate Demography and Disposition dataset as per SDTM standards.

    4th Project

    SAS

    QC of AE and DM Tables – generate summary report for Demography and Adverse events data.

    5th Project

    SQL

    Data import from RDBMS to HDFS. Build MapReduce application, and write output to HDFS. Export data to RDBMS.

    Work with the latest tools

    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.

    Aslam Khan

    SAS Faculty


    Pavan Suryanarayan

    Data Mining Faculty


    Mr Balachandra Kandukuri

    Faculty of Clinical Research


    Akash Sharma

    Faculty of Drug Safety


    Dhaval Patel

    Faculty of Drug Safety


    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

    OUR STUDENTS WORK AT

    Sollers partners with industry-leading corporations and provides them with ready-on-day-one employees. We record an 82% placement rate within three months of graduation.

    Financial Options

    Sollers has devised viable financial options for you to ensure tuition does not get in the way of your education. Now, you can focus your attention where it needs to be – in the classroom!

    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

    • Sampada Lokhande
      “Sollers has great certificate and internship programs in Clinical Trials domain. I have recently completed Clinical Data Science program with Sollers. Their faculty, facilitators, career services all are knowledgeable and experienced in the field of Clinical Trial. I was very happy with the internship program too. They provided me with valuable guidance throughout my program, internship and job application process. I definitely would recommend Sollers.edu to anyone who wants to pursue education in Clinical Trial industry 👍🏼”
      Sampada Lokhande
    • Rudolf M.
      Thanks to the academic team at Sollers, I was able to gain quick admission with financial options to pay tuition. Career Services was very helpful with resume and interview prep. They sent me job postings with major hospitals and pharma companies which helped me land my current job as Data Manager in cancer clinical trials.
      Rudolf M.
    • Emmanet T.
      The Clinical Trial Management course is extensive, and the professors are thorough in delivering the course materials using real life experience and insight. Career Services helped me throughout the interview process, and I landed my dream job with the very first interview after graduating from Sollers.
      Emmanet T.

    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.