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Python Immersive Start a Career with Python (1 Week) October 21st - October 25th, Total in-Class Hours: 35 Read Syllabus and RSVP HERE! http://bit.ly/PythonImmersiveNY Mon, Oct 21, 10:00 a.m. - 5:00 p.m. Tue, Oct 22, 10:00 a.m. - 5:00 p.m. Wed, Oct 23, 10:00 a.m. - 5:00 p.m. Thu, Oct 24, 10:00 a.m. - 5:00 p.m. Fri, Oct 25, 10:00 a.m. - 5:00 p.m. Our program is designed to be a base for a career in the tech industry. Learn from scratch to comfortably program in Python. We teach the fundamentals of programming, and the best practices for real life opportunities. After finishing our program, you will have a solid foundation for a career in Data Science, Application development, and information technology operations. Get started in the world of software development, and go from zero knowledge of programming to comfortably writing programs in Python. Get yourself ready for a job interview in the tech industry. One week, Monday to Friday from 10am to 5pm. Total in-Class Hours: 35 Typical studying day starts at 10pm with a previous day recap and completing previous exercises. Lecture on new topics takes about two hours and starts at 11.00pm. After lecture, students start working on new exercises with instructor guidance. Around 3pm students present and discuss their work with instructors, learn alternative solutions, and best practices from instructors and invited professional programmers. Who this program is for: Novice and people with no previous programming experience, seeking a comprehensive course to enter the tech industry. Career services: By the end of second week you would have a portfolio of projects and code samples on GitHub to show to employers. We will guide you step by step through the process how to build and improve your resume for an Entry-Level position in the Tech industry. We will teach you the best practices on GitHub and help you organize your code to show a portfolio of projects to employers. We will help you to deliver your resume to a startup community. You will learn: -Gain a fundamental understanding of Python Programming Language -Become a proficient Python programmer by learning along with skilled mentors -Learn how to search and navigate the tech documentation and efficiently handle errors and exceptions -Get comfortable developing Python programs on your own through a series of coding exercises -Become familiar with industry standards and learn the best practices for writing code -Master your programming skills by working on real life projects; great for a resume building -Create two of your projects for your portfolio of code Prerequisites & Preparation: Laptop Note: All students are eligible to retake the class one time if they want a refresher! Python Immersive syllabus: Week One Day 1 • Terminal commands • Git versions of common source management concepts and commands • Variables • Data types: strings, integers, floats, lists • For loops • Practical Exercises Day 2 • Functions • Data types: tuples, dictionaries, sets • If statements • While loops • Indexing and slicing • Python's datetime module • Practical Exercises Day 3 • Reading from a File • Making a List from a File • Analyzing a File’s content • Regular expressions • Writing to a File • Appending to a File • Practical Exercises Day 4 • Big-O notation • Data structures • Binary search • Bubble Sort • Insertion sort • Selection sort • Merge sort • Exercises Day 5 • Week 1 Review and Q&A • Project Work • Weekly Quiz
This workshop meets 3 times, total in class - 9hrs, Paid Workshop, must register at http://bit.ly/IntroToPythonProgrammingNYC Wed, Oct 23, 6:00 p.m. - 9:00 p.m. Wed, Oct 30, 6:00 p.m. - 9:00 p.m. Wed, Nov 06, 6:00 p.m. - 9:00 p.m. Starting from scratch we learn how to start using Python and build a foundation for programming in Python. We learn and master how to use major data structures which include Strings, Lists, Dictionaries and Sets. We practice solving common problems usually asked at job interviews and learn how to write efficient and fast Python code. During this program, we cover Big-O notation, the time complexity of an algorithm, and learn most common sorting algorithms. We also learn how to open TXT and CSV files and analyze the data. We will provide you with written materials and Python code examples as an online course-pack. Will there be additional resources and homework? Yes! Students will be provided weekly assignment to enhance their Python knowledge and conceptual understanding. Homeworks and resources are reviewed weekly. Who this program is for: Everyone who wants to start programming in Python should attend! You will learn: - Pillars of programming: Python built-in Data types - Concept of mutability and behavior of different Data structures - Control flow statements: If, Elif and Else - Definite and Indefinite loops: For and While loops - Writing user-defined functions in Python - Read and write Text and CSV files with python Prerequisites & Preparation: Laptop
This workshop meets 3 times, total in class - 9hrs, Paid Workshop, must register at http://bit.ly/IntroToPythonProgrammingNYC Wed, Oct 23, 6:00 p.m. - 9:00 p.m. Wed, Oct 30, 6:00 p.m. - 9:00 p.m. Wed, Nov 06, 6:00 p.m. - 9:00 p.m. In our Introduction to Python Programming course, we start with the complete basics - which are geared toward complete beginners to Python. Our live, instructor- led course emphasizes the foundations of Python coding for beginners in an engaging format that learners cannot find in online tutorials. This groundwork helps students gain an understanding of how to write their own code competently and efficiently. WHAT TO EXPECT FROM THIS COURSE During this workshop, we explain, in detail, everything you need to start using Python. We discuss how Python memory management works and the behavior of the basic built-in data types in the programming language. We also cover variables and built-in functions. We also explain how to create user-defined Python functions, and how to extract and analyze data from text files with Python. The once-a-week format of this class lets students practice their coding skills over the week and then ask more questions at the next class. Students learn by solving real-life challenges that can strengthen their coding skills, which can be implemented after they leave the classroom. AFTER THE COURSE Our goal is to help you succeed in the course and with your new, practical, real-world coding skills. We offer help from instructors who are happy to answer your coding questions even after the course ends. Also, if you feel that you need to repeat the course to gain a better understanding of Python principles, you can do so at no charge. WHAT WILL YOU LEARN - Pillars of programming: Python built-in data types - Mutability and behavior of different data structures - Control flow statements: If, Elif and Else statements - Definite and Indefinite loops: For and While loops - Writing user-defined functions in Python - How to read and write text files with python - Manipulating data with Python Prerequisites & Preparation: Laptop
This is One week course, Monday to Friday from 10am to 5pm. Total in-Class Hours: 35 Mon, Oct 28, 10:00 a.m. - 5:00 p.m. Tue, Oct 29, 10:00 a.m. - 5:00 p.m. Wed, Oct 30, 10:00 a.m. - 5:00 p.m. Thu, Oct 31, 10:00 a.m. - 5:00 p.m. Fri, Nov 01, 10:00 a.m. - 5:00 p.m. RSVP Now! http://bit.ly/MachineLearningImmersive READ SYLLABUS and CURRICULUM http://bit.ly/MLImmersiveCourseSyllabus If you are aspiring programmer, whether beginner or jedi, this course is for new learners on the pursuit to master machine learning concepts. This course discusses the FUNDAMENTAL principles of machine learning. No prior machine learning experience necessary. Beyond doing your part as a hard working student, you walk away with skills that translate to the programming marketplace that can either cultivate your future programming career or give you a bump in your pre existing career by showing employers your new skillset. The decision on how hard you work lies with you. In this one week course, you will become involved in a decision-making process surrounding the usage of machine learning, how it can help achieve business and project goals, which machine learning techniques to use, potential pitfalls, and how to interpret the results. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.