Biostatistics Analyst
Profile Code: AL-HLT-01
- ₹7 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 16 Weeks
Skills You Learn: Biostatistics | Clinical Data Analysis | Statistical Modeling | Epidemiology | Research Methodology | SAS | R Programming | Python for Data Analysis | Advanced Excel | Data Visualization | Clinical Trial Analytics | Regulatory Compliance
Overview Video
About This Course
A Biostatistics Analyst in the healthcare and life sciences industry focuses on applying statistical methods to analyze clinical and research data for evidence-based decision-making. This course equips learners with the skills to design studies, perform statistical analysis, and interpret results from clinical trials and healthcare datasets. Participants gain hands-on experience with tools like Excel, and are introduced to statistical software such as R, SAS, or Python for advanced analysis. The program emphasizes hypothesis testing, regression analysis, and data interpretation in clinical and research settings. Learners will understand how to ensure data accuracy, validate results, and support scientific and regulatory reporting. By the end of the course, they are prepared for roles in biostatistics and clinical analytics, with career progression into advanced research, clinical data science, and biostatistics leadership positions.
Course Content
3 modules · 16 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Biostatistics Analysts in the Healthcare and Life Sciences industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, statistical analysis, clinical trial data management, descriptive statistics, hypothesis testing, regression analysis, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, healthcare reporting, data visualization, variance analysis, and interactive dashboards to analyze clinical and healthcare data, improve research accuracy, and support evidence-based medical decision-making.
BI Course
The **BI Course** covers basic to advanced business intelligence concepts for Biostatistics Analysts in the Healthcare and Life Sciences industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, clinical trial dashboards, patient outcome analysis, healthcare performance reporting, epidemiological trend analysis, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, compliance reporting, performance monitoring, forecasting visualization, data storytelling, and business intelligence techniques to transform clinical and research data into actionable insights for healthcare improvement and scientific decision-making.
SQL Course
The **SQL Course** covers basic to advanced concepts for Biostatistics Analysts in the Healthcare and Life Sciences industry, including database fundamentals, SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), window functions, CASE statements, views, stored procedures, indexing, query optimization, transaction management, clinical data extraction, patient data analysis, research reporting, healthcare analytics, data validation, regulatory reporting, and large dataset management to retrieve, transform, and analyze clinical and life sciences data for statistical research, regulatory compliance, and informed healthcare decision-making.
Key Responsibilities
- Design and analyze clinical and healthcare studies
- Apply statistical methods to medical and biological data
- Develop statistical analysis plans and models
- Interpret clinical trial and epidemiological data
- Perform data cleaning and validation
- Generate statistical reports and visualizations
- Support research and drug development initiatives
- Ensure compliance with regulatory and reporting standards
- Collaborate with clinical, research, and data science teams
- Provide evidence-based insights for healthcare decision-making
Growth Path
Tools Used
Perfect For
Biostatistics Graduates | Life Sciences Professionals | Pharmacists | Biotechnology Professionals | Public Health Professionals | Clinical Research Associates | Data Analysts | Healthcare Researchers | Statistics Graduates | Early-Career Healthcare Analytics Aspirants
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Healthcare & Life Sciences
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