Data science encompasses various roles, with 80% of data scientists specializing in one of four areas: data analysis, traditional machine learning, data engineering, or applied science. Data analysis involves a/b testing, causal inference, and experimental design. Traditional machine learning includes supervised learning, forecasting, and clustering. Data engineering covers ETL, cloud development, model monitoring, and data modeling. Applied science, often requiring a doctoral degree, focuses on deep learning, optimization, Bayesian methods, and recommender systems. The concept of a full-stack data scientist has become less popular, pushing new entrants to choose a specialization for career advancement. With AI rapidly evolving, the choice of specialization impacts employability. Product data scientists suggest learning software development and cloud platforms, while data engineers emphasize the importance of developing a strong product and business sense due to the frequent changes and abstraction in data engineering tools.
Beginnersblog
@beginnersblog1
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10h I have 10 ROADMAPS that can help get started with any of the following Job roles…
– Data Scientist
– Cybersecurity
– Data Analyst
– AI engineer
– Machine Learning
– Big Data Architect
– Cloud Computing
– Data Engineer
– Business Analyst
– Generative AI
– Software Development
Beginnersblog
@beginnersblog1
·
Mar 15 I have 10 ROADMAPS that can help get started with any of the following Job roles…
– Data Scientist
– Cybersecurity
– Data Analyst
– AI engineer
– Machine Learning
– Big Data Architect
– Cloud Computing
– Data Engineer
– Business Analyst
– Generative AI
– Software Development
Beginnersblog
@beginnersblog1
·
Jan 20 I have 10 ROADMAPS that can help get started with any of the following Job roles…
– Data Scientist
– Cybersecurity
– Data Analyst
– AI engineer
– Machine Learning
– Big Data Architect
– Cloud Computing
– Data Engineer
– Business Analyst
– Generative AI
– Software Development
Prosum
@Prosum
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Apr 4 Data skills are a top priority for organizations seeking tech talent. We explore>> how these skills are being applied
>> the types of roles that are growing in popularity,
>> what tech professionals should focus on to be top candidatesRead more: https://buff.ly/5Bv9xJt .
Beginnersblog
@beginnersblog1
·
Jan 24 I have 10 ROADMAPS that can help get started with any of the following Job roles…
– Data Scientist
– Cybersecurity
– Data Analyst
– AI engineer
– Machine Learning
– Big Data Architect
– Cloud Computing
– Data Engineer
– Business Analyst
– Generative AI
– Software Development
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