In this short, engaging video, we describe the exciting roles of a Business Analyst and Data Scientist. Discover the main differences and find out which course matches your skills and interests!

Strong points:

Role Overview:

Business Analyst: Focuses on improving business processes and systems through data-driven decisions.
Data Scientist: Uses advanced analytics, machine learning, and statistical models to extract insights from large data sets.
Skills and tools:

Business Analyst: Excel, SQL, Business Intelligence tools, communication skills.
Data Scientist: Python, R, Machine Learning libraries, Big Data technologies.
Typical day:

Business Analyst: Collect requirements, analyze data, collaborate with stakeholders, create reports.
Data Scientist: cleaning data, creating models, performing experiments, presenting results.
Career Opportunities:

Business Analyst: Entry-level positions leading to senior analyst, project manager or consultant positions.
Data Scientist: Opportunities in technology, finance, healthcare and more, with roles in AI, machine learning and data strategy.
‍ Who should watch:

Budding analysts and data enthusiasts.
Students explore career options in data and business fields.
Professionals looking to pivot their careers.

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