In this exciting short video we explain the exciting roles of Business Analyst and Data Scientist. Discover the most important differences and find out which path suits your skills and interests!

Highlights:

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 gain insights from large data sets.
Skills and tools:

Business Analyst: Excel, SQL, business intelligence tools, communication skills.
Data scientists: Python, R, machine learning libraries, big data technologies.
Typical day:

Business Analyst: Gather requirements, analyze data, collaborate with stakeholders, create reports.
Data Scientist: cleaning data, building models, running experiments, presenting results.
Career opportunities:

Business Analyst: Entry-level positions with opportunities for advancement to senior analyst, project manager or consultant.
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 opportunities in data and business.
Professionals who want to give their career a new direction.

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