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Eddie Adams
Eddie Adams

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Data Science Landscape

Are you planning to get into Data Science field? This GIF should help you to understand different branches of Data Science!

Data science is a field that uses data to solve problems and make predictions. It is a vast and complex field that requires a variety of skills, including:

- Data preprocessing: This is the process of cleaning and preparing data for analysis

- Software engineering: This involves using programming languages and software tools to develop and maintain data science projects

- Web development: This is the process of creating and maintaining websites that can be used to present data science findings

- Statistics: This is the use of mathematical tools to analyze data

- Programming languages: This includes languages like Python, R, and SQL, which are used to write code for data science projects

**- Machine learning: **This is a type of artificial intelligence that allows computers to learn from data without being explicitly programmed

- Deep learning: This is a subset of machine learning that uses artificial neural networks to learn from data

- Soft skills: These are non-technical skills that are important for data scientists, such as communication, teamwork, and problem-solving

data science landscape


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