SOFTWARE DEVELOPMENT: DATA SCIENCE

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1 PROFESSIONAL CAREER TRAINING INSTITUTE SOFTWARE DEVELOPMENT: DATA SCIENCE

2 PROGRAM OVERVIEW Prepare for a life changing career as a data scientist at Professional Career Training Institute. Our hands-on certification program equips students with the tools they need to build and design enterprise data systems, conduct enterprise analytics, and construct backend server, mobile, AI, and web applications. This 2 part program runs 900 hours with convenient daytime, evening, or weekend interchangeable classes to suit your needs. We re Houston s one and only coding school that s fully accredited! That s right we offer grants, scholarships, and tuition assistance. No student will ever lose out on their success due to an inability to pay. WHO SHOULD TAKE THIS COURSE? Those looking to learn about computers on a deeper level Those interested in learning how to code Those interested in a lucrative career change Those interested in developing mobile, web, and other data applications Those interested in big data analytics

3 WHAT YOU WILL LEARN PYTHON Python is a programming language that can be used to do just about anything from designing high level mobile and desktop applications, automating computer and other software systems, to artificial intelligence and data analytics. Due to it's readability, flexibility, and strength, it is a great programming language for beginners. Utilizing this powerful language, we'll design AI projects, construct our own cloud applications, build automated data systems, design predictive models, and much more. You will learn about computers in ways you never knew were possible! SQL (Structured Query Language) SQL is hands down the most widely used backend language for data manipulation, construction, analysis, and querying. While it's not an object oriented or scripting programming language such as Python, it is a necessary database programming language used to build, hold, and maintain data for nearly all software applications. Websites, mobile apps, and desktop applications, even the basics of your own phone use SQL. This language and ecosystem has become an industry standard and will continue to be for years to come.

4 A CLOSER LOOK MODULE DESCRIPTION SKILL LEARNED MONTH 1: DATABASE FUNDAMENTALS This module is an overview of database administration, performance, access, and security. Topics include the SQL programming language, managing schema projects, performing backups and recovery, administering alerts, and maintaining metrics. SQL Server Management Studio RBDMs Databases Management Database Security MONTH 2: INTRODUCTION TO SQL Using SQL Server Management Studio, students will learn the SQL programming language, SQL development, creating and dropping tables, querying, scalability, and data analysis. Writing SELECT Querying Multiple Sorting and Filtering Data Using DML to Modify Using Built-In Functions Grouping and Aggregating MONTH 3: DATABASE DEVELOPMENT This module will teach you the skills for advanced database development. Students will learn about the production of cloud-based database systems and local database systems. Implementing Views Introduction to XML User-Defined Functions Designing and Creating Tables Advanced Table Designs Designing and MONTH 4: DATA WAREHOUSING Students will learn industry standard warehouse design and manipulation utilizing large data sets within an enterprise system. Designing and Implementing a Data Warehouse Creating an ETL Solution Implementing Control Flow in an SSIS Package MONTH 5: INTRODUCTION TO PYTHON This module teaches the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. There are no prerequisites required. Numerical Computation Multivariate Statistics Text and Image Processing Inputs Types and Sequences

5 MONTH 6: PYTHON FOR DATA SCIENCE This module introduces students to the various tools used for data cleansing and processing and Python. Students will learn how to read and create various dataframe structures and how to query and manipulate these structures. Dataframes Pandas Idioms Connecting to a Database Pandas MONTH 6.5: AUTOMATION In this module, you will learn practical ways of improving productivity and processes by utilizing automation with Python. Text pattern recognition with Regular Expressions Generating and Updating Reports with Python Automate tasks by writing simple Python programs. MONTH 7: MACHINE LEARNING and AI This moduleintroduces students to the core concepts of teaching a computer to learn concepts using data without the need for being explicitly programmed. Supervised Learning Linear Regression System Design Unsupervised Learning Neural Networks MONTH 8: CAPSTONE PROJECT Survey module that allows students to choose an area of interest to apply the knowledge and skills gained throughout the program. MONTH 9: CAREER COUNSELING The objective of this module is to assist students in making career choices. This course focuses on self-assessment in terms of educational and career opportunities and reasonable possibilities in the world of work. Portfolio Building Resume Building Technical Interviews Tech Workplace Preparedness

6 your portfolio Books are important, but having something to show for is important too.. Since companies care about what you can do, you'll design a web based portfolio to demonstrate and showcase the following projects/certification: MCSA Certification Backend SQL Database Music Player SQL Analysis Report Automated Excel Report (Code Included) Automated Tableau Report Neural Network NBA/NFL Game Predictor Stock Predictor MY JOB OUTLOOK Backend Developer Application Development Manager QA Tester Application Analyst Data Scientist BI Developer Integration Engineer Python Developer ETL Developer SQL Developer Database Administrator Reporting Analyst Data Engineer Technical Business Analyst

7 MY CAREER OUTLOOK

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