Which subject is important for Data science.
Answers
Answer:
Master the foundations of data science, statistics, and machine learning
Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference; identify and deploy appropriate modeling and methodologies in order to extract meaningful information for decision making
Develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data; learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks
Finishing this MicroMasters program will prepare you for job titles such as: Data Scientist, Data Analyst,
Answer:
Programming: Python, SQL, Scala, Java, R, MATLAB.
Machine Learning: Natural Language Processing, Classification, Clustering, ...
Data Visualization: Tableau, SAS, D3.js, Python, Java, R libraries.
Big data platforms: MongoDB, Oracle, Microsoft Azure, Cloudera.