| 156-106 | BI Data 2-Interactive | 3 | 156-103 Online analytical processing, or OLAP, is an approach to answer multi-dimensional analytical (MDA) queries swiftly in computing. OLAP is part of the broader category of business intelligence, which also encompasses relational databases, report writing and data mining. In this course you will be introduced to an OLAP reporting application. |
| Course #: | 156-106 |
| Title: | BI Data 2-Interactive |
| Credits: | 3 |
| Prerequisites/Comments: | 156-103 Online analytical processing, or OLAP, is an approach to answer multi-dimensional analytical (MDA) queries swiftly in computing. OLAP is part of the broader category of business intelligence, which also encompasses relational databases, report writing and data mining. In this course you will be introduced to an OLAP reporting application. |
| 156-107 | Python 2-Data Essentials | 3 | 2nd 8 weeks | 156-105 and (152-132 or concurrent) Ready to take your Python skills to the next level? Python 2 - Data Essentials is the mortar that binds the bricks, helping you construct a robust foundation for data analysis in Python. This course builds upon your existing knowledge from Python 1 - Fundamentals.
Imagine yourself as a master architect. You've laid the foundation, now it's time to build the magnificent data castle of your dreams! Here, we'll introduce you to the essential building blocks of data manipulation in Python, the tools that will transform you from a coder into a Data Analyst.
Think of functions and lists as your sturdy bricks. We'll show you how to create and utilize functions to organize your code and make it reusable. Lists will become your data containers, allowing you to store and organize information efficiently. File I/O is the drawbridge of your castle. You'll learn how to securely import and export data from external files, ensuring your information is accessible and can be shared with others.
Classes and objects act as the fortified towers of your data castle. We'll delve into these powerful concepts, enabling you to create blueprints for complex data structures and objects that represent real-world information. But a castle isn't complete without the great Hall inside the castle walls, a place to store your vast treasures of data! This course utilizes SQLite databases, the cornerstone upon which you can build and store massive datasets.
Finally, we'll crown your castle with data analysis! You'll explore Python data libraries, powerful tools that help you analyze and interpret the information stored within your data castle walls. By the end of this course, you'll be well on your way to generating insightful reports and transforming raw data into valuable knowledge. Python 2 - Data Essentials –– Build your data analysis expertise, brick by brick! |
| Course #: | 156-107 |
| Title: | Python 2-Data Essentials |
| Credits: | 3 |
| Prerequisites/Comments: | 2nd 8 weeks | 156-105 and (152-132 or concurrent) Ready to take your Python skills to the next level? Python 2 - Data Essentials is the mortar that binds the bricks, helping you construct a robust foundation for data analysis in Python. This course builds upon your existing knowledge from Python 1 - Fundamentals.
Imagine yourself as a master architect. You've laid the foundation, now it's time to build the magnificent data castle of your dreams! Here, we'll introduce you to the essential building blocks of data manipulation in Python, the tools that will transform you from a coder into a Data Analyst.
Think of functions and lists as your sturdy bricks. We'll show you how to create and utilize functions to organize your code and make it reusable. Lists will become your data containers, allowing you to store and organize information efficiently. File I/O is the drawbridge of your castle. You'll learn how to securely import and export data from external files, ensuring your information is accessible and can be shared with others.
Classes and objects act as the fortified towers of your data castle. We'll delve into these powerful concepts, enabling you to create blueprints for complex data structures and objects that represent real-world information. But a castle isn't complete without the great Hall inside the castle walls, a place to store your vast treasures of data! This course utilizes SQLite databases, the cornerstone upon which you can build and store massive datasets.
Finally, we'll crown your castle with data analysis! You'll explore Python data libraries, powerful tools that help you analyze and interpret the information stored within your data castle walls. By the end of this course, you'll be well on your way to generating insightful reports and transforming raw data into valuable knowledge. Python 2 - Data Essentials –– Build your data analysis expertise, brick by brick! |
| 156-109 | Introductory ETL | 3 | 1st 8 weeks | 152-136 and 103-170 Extract, Transform, and Load is an essential technique for moving data between computer systems. In this course you will learn various techniques to move and integrate data between systems and databases. |
| Course #: | 156-109 |
| Title: | Introductory ETL |
| Credits: | 3 |
| Prerequisites/Comments: | 1st 8 weeks | 152-136 and 103-170 Extract, Transform, and Load is an essential technique for moving data between computer systems. In this course you will learn various techniques to move and integrate data between systems and databases. |
| 156-110 | Data Analyst Toolbox | 3 | 152-132 and 156-103 The Data Analyst Toolbox isn't just a course – it's your personal workshop for filling a formidable data analysis toolbox! This course prepares you with the essential tools to conquer any information challenge, expanding the breadth of your data analyst skillset and making your resume shine. Think of your data analysis journey as a well-stocked workbench. Here, you'll meticulously curate your toolkit by mastering several of the most sought-after technologies in the field. We've handpicked a selection of powerful tools to ensure you graduate with a well-rounded skillset, ready to tackle any data puzzle that comes your way. |
| Course #: | 156-110 |
| Title: | Data Analyst Toolbox |
| Credits: | 3 |
| Prerequisites/Comments: | 152-132 and 156-103 The Data Analyst Toolbox isn't just a course – it's your personal workshop for filling a formidable data analysis toolbox! This course prepares you with the essential tools to conquer any information challenge, expanding the breadth of your data analyst skillset and making your resume shine. Think of your data analysis journey as a well-stocked workbench. Here, you'll meticulously curate your toolkit by mastering several of the most sought-after technologies in the field. We've handpicked a selection of powerful tools to ensure you graduate with a well-rounded skillset, ready to tackle any data puzzle that comes your way. |
| 809-196 | Intro to Sociology | 3 | This course introduces students to the basic concepts of sociology, including culture, race, socialization, gender, group behavior, deviance, social stratification, and social change. Students will use the sociological perspective to analyze major social institutions, multiculturalism, and social issues affecting our selves and society. Students will participate in a variety of experiences to strengthen and demonstrate these perspectives and skills. Critical thinking skills are emphasized, and learning activities include applying sociological theory to current issues in society. The focus is on how social factors and forces influence beliefs and behaviors, both in our personal lives and at work. |
| Course #: | 809-196 |
| Title: | Intro to Sociology |
| Credits: | 3 |
| Prerequisites/Comments: | This course introduces students to the basic concepts of sociology, including culture, race, socialization, gender, group behavior, deviance, social stratification, and social change. Students will use the sociological perspective to analyze major social institutions, multiculturalism, and social issues affecting our selves and society. Students will participate in a variety of experiences to strengthen and demonstrate these perspectives and skills. Critical thinking skills are emphasized, and learning activities include applying sociological theory to current issues in society. The focus is on how social factors and forces influence beliefs and behaviors, both in our personal lives and at work. |