Develop foundations in data analysis, statistics, Python and practical analytics.
Develop foundations in data analysis, statistics, Python and practical analytics.
Build practical data science and analytics skills using Python, SQL, Power BI and statistical methods. Learn data cleaning, visualization, dashboards and machine learning fundamentals. Apply the complete workflow to real datasets and finish with a capstone analytics project.
7 modules covering data science tools, statistics, Python, visualization, SQL, machine learning and a capstone project.
Understand the ecosystem and tools needed for end-to-end data workflows.
Develop a strong statistical foundation for interpreting data trends and behaviors.
Improve data quality for accurate analysis and reporting.
Learn to visually communicate insights for stakeholders and clients.
Extract and analyze structured data efficiently from any business database.
Begin your ML journey by applying predictive models to real data.
Showcase your full-stack data science skills through a practical business case study.
Build useful skills through structured concepts, guided practice and application-focused learning.
Apply concepts through practical exercises and course activities.
Learn through structured modules with practical explanations and support.
Develop skills relevant to study, work, productivity and career growth.
Talk to Search Techies about course structure, learning format and enrolment.
