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### Globally Data Science courses are provided with Approved Online Certificates and Online Lectures

- Basic R syntax
- Foundational R programming concepts such as data types, vectors arithmetic, and indexing
- How to perform operations in R including sorting, data wrangling using dplyr, and making plots

- The basic process of data science
- Python and Jupyter notebooks
- An applied understanding of how to manipulate and analyze uncurated datasets
- Basic statistical analysis and machine learning methods
- How to effectively visualize results

- python
- jupyter notebooks
- pandas
- numpy
- matplotlib
- git
- and many other tools.

- How the Microsoft Data Science curriculum works
- How to navigate the curriculum and plan your course schedule
- Basic data exploration and visualization techniques in Microsoft Excel
- Foundational statistics that can be used to analyze data

- After completing this course, you will be familiar with the following concepts and techniques:
- Data analysis and inference
- Data science research design
- Experimental data analysis and modeling

- After completing this course, you will be familiar with the following concepts and techniques:
- Data analysis and inference
- Data science research design
- Experimental data analysis and modeling

- Who owns data
- How we value different aspects of privacy
- How we get informed consent
- What it means to be fair

- Important concepts in probability theory including random variables and independence
- How to perform a Monte Carlo simulation
- The meaning of expected values and standard errors and how to compute them in R
- The importance of the Central Limit Theorem

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