Introduction to Data Science
Program Description: In this Certificate course, participants will learn the basics of Data Science. Data science is a multidisciplinary field. It encompasses a wide range of topics including: Understanding of the data science field and the type of analysis carried out, Mathematics, Statistics, Python, Applying advanced statistical techniques in Python, Data Visualization and Machine Learning.
– Advanced Excel for Data Analysis: Learn to do more with Microsoft Excel. In this module, we’ll cover advanced topics like statistical modeling, forecasting and prediction, pivot tables, and VBA scripting. You’ll even learn to model historic stock trends.
– Python for Data Analytics: Gain a solid foothold in one of today’s fundamental programming languages. You’ll develop proficiency in core Python; data analytic tools like NumPy, Pandas, and Matplotlib; and specific libraries for interacting with web data, like Requests and BeautifulSoup
– Databases: Dive deep into the most prolific database languages: SQL and NoSQL. Work with MySQL and MongoDB to organize data into well-structured and easily retrievable data formats. Work on a case study to combine data from different sources into one database.
– Machine Learning: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.
Applicants must possess a high school diploma or GED, or pass the ability to benefit (ATB) test. In order to determine ability to benefit, the Wonderlic Basic Skills test will be given to all students who do not have a High School Diploma or GED.
Successful graduates will be employable as Database Administration professionals. (DOT Code 039.162-010)