Machine Learning with Python ( HONORS )
Describe the various types of Machine Learning algorithms and when to use them.
Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression.
Python Project for Data Science
Play the role of a Data Scientist / Data Analyst working on a real project.
Demonstrate your Skills in Python - the language of choice for Data Science and Data Analysis.
Data Analysis with Python
Develop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning data.
Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy.
Databases and SQL for Data Science with Python
Analyze data within a database using SQL and Python.
Create a relational database on Cloud and work with tables.
Data Visualization with Python
Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story.
Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble.
IBM Data Science
Describe what is data science, the various activities of a data scientist’s job, and methodology to think and work like a data scientist .
Develop hands-on skills using the tools, languages, and libraries used by professional data scientists.