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Top Online courses with certificates for every Data Scientist
- Describe the various roles that make up a Data Science team
- Know relevant questions for interviewing data scientists
- Manage a Data Science team onboarding
- Understand how to encourage and empower Data Science teams
- 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.
- Describe how basic statistical measures, are used to reveal patterns within the data
- Recognize data characteristics, patterns, trends, deviations or inconsistencies, and potential outliers.
- Identify useful techniques for working with big data such as dimension reduction and feature selection methods
- Describe how each type of clinical data are generated, specifically outlining who creates the data, when and why the data are generated.
- Write SQL code to combine two or more tables using database joins.
- Write R code to manipulate and tidy data including selecting columns, filtering rows, and joining data sets.
- Understand Python language basics and apply to data science
- Practice iterative data science using Jupyter notebooks on IBM Cloud
- Analyze data using Python libraries like pandas and numpy
- Create stunning data visualizations with matplotlib, folium and seaborn
- Build machine learning models using scipy and sci-kit learn
- Demonstrate proficiency in solving real-life data science problems