Data Science & Data Analytics Info Session | March 31

Data Science¡ªDiscover the hidden patterns

Develop an understanding of data science by learning how to find, organize, manage, and process large volumes of real-world data. In this streamlined package of introductory data science courses, you¡¯ll perform data manipulation and analysis using Python.

By leveraging your mathematical and statistical skills to find patterns, value, and insights, you¡¯ll gain valuable insights and gain expertise in creating stunning visualizations and statistical models using R.

Learning outcomes

Students completing this program should be able to:

• Develop complex functions and scripts to perform complicated calculations to solve engineering, financial, mathematical, and scientific problems and visualize the results of these calculations.
• Install and configure Python and essential Python development tools and write programs to perform data analysis, statistical analysis, learning, and AI techniques.
• Manage and manipulate data, perform data type conversions, merge datasets, deal with missing values, and extract, delete, or transform subsets of data based on logical criteria.
• Discuss the importance of data analysis for data science, data visualization, and exploration.

Stackable skills

You can learn more in this field in the Data Engineering specialization or the more in-depth Data Science and Data Analysis certificate program.