What we're about

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This is a group for all the Data Science & Analytics Enthusiasts out there! We provide information on the next Data Science conferences and workshops on languages like Python and R. These help in understanding and implementing data driven strategies in your business.Also provides an excellent opportunity to interact and network.

Upcoming events (5+)

Python Immersive • Start a Career with Python (1 Week Course)

Practical Programming

Python Immersive Start a Career with Python (1 Week Course) Aug 19th -Aug 23rd, Total in-Class Hours: 35 Read Syllabus and RSVP HERE! http://bit.ly/PythonImmersiveNY Mon, Aug 19, 10:00 a.m. - 5:00 p.m. Tue, Aug 20, 10:00 a.m. - 5:00 p.m. Wed, Aug 21, 10:00 a.m. - 5:00 p.m. Thu, Aug 22, 10:00 a.m. - 5:00 p.m. Fri, Aug 23, 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. 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

Introduction to Python Programming

Practical Programming

This workshop meets 3 times, total in class - 9hrs, This is a paid workshop you have to RSVP at http://bit.ly/IntroToPythonProgrammingNYC Wed, Aug 21, 6:00 p.m. - 9:00 p.m. Wed, Aug 28, 6:00 p.m. - 9:00 p.m. Wed, Sep 04, 6:00 p.m. - 9:00 p.m. RSVP NOW! http://bit.ly/IntroToPythonProgrammingNYC 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

Machine Learning Immersive

Practical Programming

This is One week course, Monday to Friday from 10am to 5pm. Total in-Class Hours: 35 Mon, Aug 26, 10:00 a.m. - 5:00 p.m. Tue, Aug 27, 10:00 a.m. - 5:00 p.m. Wed, Aug 28, 10:00 a.m. - 5:00 p.m. Thu, Aug 29, 10:00 a.m. - 5:00 p.m. Fri, Aug 30, 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.

Python for Web Scraping and Data Mining

Needs a location

Web Scraping and Content Mining. How To Scrape Amazon Product Details and Pricing using Python! We will teach you how to scrape AJAX with Selenium! Voted the most interesting course in NYC. YOU MUST RSVP here, Paid class: http://bit.ly/Web-Scraping-Python This workshop meets for three hours, 6.00pm - 9.00 pm Web Scraping is a method for extracting textual characters from websites so that they could be analyzed. Web scraping is sort of content mining, which means that you collect useful information from websites, including quotes, prices, news company info, etc. This method for gathering data is direct, either through looking at websites' html code or visual abstraction techniques using Python programming language. We start workshop by exploring different methods to gather data from Web. We go through the whole process of gathering, storing and analyzing data. For our examples we use real-life financial quotes and Annual reports 10-K. During the course we learn how to use numerous Python libraries - Urllib, Requests, Wget, BeautifulSoup 4.0, SSL, PDFminer3k, Twitter and others. You will Learn: - BeautifulSoup Python Library - How to use Urllib and Requests - Scrape Amazon and compare prices - Read and analyze PDF files - Store Data with CSV files - Scrape AJAX with Selenium • What to bring Bring your laptop

Past events (428)

Python for Data Science (Weekend)

Practical Programming

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