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Go for Data Science career. It has multiple opportunities
- Analyze the connectivity of a social network
- Conduct an inferential statistical analysis
- Discern whether a data visualization is good or bad
- Enhance a data analysis with applied machine learning
- Become conversant in the field and understand your role as a leader.
- Recruit, assemble, evaluate, and develop a team with complementary skill sets and roles.
- Navigate the structure of the data science pipeline by understanding the goals of each stage and keeping your team on target throughout.
- Overcome the common challenges that frequently derail data science projects.
- 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, Business Intelligence Analyst, Systems Analyst, Data Engineer
- How to load and clean real-world data
- How to make reliable statistical inferences from noisy data
- How to use machine learning to learn models for data
- How to visualize complex data
- How to use Apache Spark to analyze data that does not fit within the memory of a single computer