MyCAA-APPROVED IT PROGRAM
DATA SCIENCE FUNDAMENTALS WITH PYTHON
This program teaches the foundational concepts, theory, and techniques you need to know to become an effective data analyst. Participants will analyze various datasets, built a handful of applications, and applied machine learning algorithms in meaningful ways to get real results.
CERTIFICATION:
PROGRAM COSTS: Varies
COURSE CONTACT HOURS: 375
PROGRAM DURATION: 6 Months
EXTERNSHIP AVAILABLE: Yes
Tyler Junior College TJC-MET.CP.IT.DATA
Download TJC Course Outline
Texas A&M TAMIU-MET.CP.IT.DATA
Download TAMIU Course Outline
Data Science Fundamentals with Python
The Data Science Fundamentals with Python Program
This program teaches the foundational concepts, theory, and techniques you need to know to become an effective data analyst. Participants will analyze various datasets, built a handful of applications, and applied machine learning algorithms in meaningful ways to get real results. Along the way, participants learn the best practices and computational techniques used by professional data scientists.
From there, the data wrangling topics and lab exercises provide an understanding of the processes used along with the knowledge of the most popular tools and techniques in the domain. The Python content here further demonstrates how to use the Python back-end and extract/transform data from an array of sources including the Internet.
Education and National Certification Opportunities
- Students should have or be pursuing a high school diploma or GED
Program Objectives:
- Getting started with Python
- Working with the Python Interactive Shell and Writing and Running Simple Scripts
- Data Types
- Control Statements
- Functions
- Lists and Tuples
- Dictionaries and Sets
- Object-Oriented Programming
- Modules, Packages, and File Operations
- Error Handling
- PCAP Exam Objectives
- PCEP Exam Objectives
- Python for Data Wrangling
- Lists, Sets, Strings, Tuples, and Dictionaries
- Advanced Data Structures and File Handling
- Introduction to NumPy, Panndas, and Matplotlib
- A Deep Dive into Data Wrangling with Python
- Getting Comfortable with Different Kinds of Data Sources
- Learning the Hidden Secrets of Data Wrangling
- Advanced Web Scraping and Data Gathering
- RDMBS and SQL
- “Real Life” Data Wrangling Applications
Technical Requirements
- Windows 7, XP or Vista
- 56K modem or higher
- Soundcard & Speakers
- Firefox, Chrome or Microsoft Internet Explorer
MAC OS USERS
- Mac OS X or higher (in classic mode)
- 56K modem or higher
- Soundcard & Speakers
- Apple Safari
System will support the two latest releases of each browser. When using older versions of a browser, users risk running into problems with the course software.
- Windows Users: Firefox, Chrome, Explorer
- Mac OS Users: Safari, Chrome, Firefox
We recommend setting your screen resolution to 1024 x 768 pixels.
SUGGESTED PLUGINS
- Flash Player
- Real Player
- Adobe Reader
- Java
STILL CONSIDERING YOUR OPTIONS?
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