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RSVP HERE: http://bit.ly/Webscraping-With-Python What is Web Scraping? Web scraping involves retrieving and parsing information from the Internet. This skill valuable data science skill is used by marketers, stock traders, developers, analysts, and so many more. Automating data extraction from websites can save time, energy, and effort. Who This Class is For: Data scientist, analysts, statisticians, business professionals, and developers who want to retrieve and analyze web data. Learning to scrape websites to automatically extract data can save a huge amount of time and effort. What You’ll Learn: This web scraping 101 class will teach you how to scrape websites for the data and select parts that you want to analyze. You will also get an introduction on how to format and analyze the data. Topics Covered: Recap of Python basics BeautifulSoup parsing Matplotlib Data table formatting Scraping Rules Inspecting the Page Basic HTML Data Analysis in Python Pandas library NumPy library Exporting data to CSV file Requirements: Python Novice skills
RSVP HERE: http://bit.ly/Pandas-Python-Training What You’ll Learn: Pandas offers data structures and operations for data manipulation and analysis. You will learn to manipulate the data structures, analyze numeric tables, and even time series functionality. Topics Covered: Getting Started with Pandas Data Structures Function Applications Descriptive Statistics Data Loading, Storage, and File Formats Reading and Writing in Text Format JSON, XML, HTML Format Interacting with Web APIs, Databases Data Cleaning and Preparation Missing Data Data Transformation, Manipulation Data Wrangling: Join, Combine, and Reshape Hierarchical Indexing Combine, Reshape, Pivot Datasets Plotting and Visualization Matplotlib, Pandas, and Seaborn Line, Bar, Histogram, Scatter, FacetGrid plots Data Aggregation and Group Operations GroupBy, Pivot Tables, Cross-Tabulations Who This Class is For: Anyone who likes Python (NO requirements)! Pandas, which stands for “Python Data Analysis Library”, is a game-changer for any beginner wanting to code and analyze data using Python. It is one of the fundamental and popular libraries for Data Science that has millions of users.
RSVP HERE: http://bit.ly/Intermediate-Hadoop-Big-Data This Level 2 Intermediate workshop is for anyone who has taken the Level 1 workshop and is looking to continue diving deeper into the world of Big Data! Why will this workshop help you? This 6-hour intermediate-level workshop will help you dive deeper into the more complex topics of Big Data using Hadoop. A wide range of business and organizations use Big Data to uncover hidden patterns and unknown correlations to help them figure out market trends, customer preferences, and other useful business information. You will be trained on: - Top 50 Ubuntu commands - NameNode, DataNode, YARN, and Hadoop Infrastructure - MapReduce in Java - MapReduce in Python - Introduction to Cloudera with Hadoop Requirements: · Your own laptop with Chrome Browser installed · Notebook for writing down notes Visit us at www.ebscorp.us to see what we’re about & to see what else we offer! If you have any questions, please contact us! We’d love to hear from you. We also offer: - Career Consultation - Data Science Executive Training - Python Executive Training - Blockchain Executive Training - Data Analytics Executive Training We are also on Instagram: @extensivebusinesssolutions Extensive Business Solutions (EBS) Corp. 845 3rd Avenue, 6th Floor Manhattan, New York, 10022 Call or Text: (888)[masked] [masked] or [masked]
RSVP HERE: http://bit.ly/Data-Science-Level-1 DURATION: 3 HOURS ONSITE TRAINING + 3 HOURS OF TECH SUPPORT MODE: One to One [Highly Personalized] SCHEDULE: Flexible Learn to make smarter business decisions using Data Science! Are you looking to make a career switch or earn a higher salary, using one of the most desirable skills? Are you looking for One on One sessions? If your answer is YES, then this class is for you. Data Scientists are in HIGH DEMAND in today’s job market, and that demand will only continue to soar. IBM predicts that demand for data scientists will increase by 28% by 2020, and it isn’t stopping there. Data science skills are amongst the some of the most desirable skills to employers because companies of every industry, whether it be healthcare, finance, and insurance, retail, hospitality, IT, etc., use data science for all sorts of business solutions. This course is very individualized, with a maximum of 3 students per class. If you’re lucky enough to be the only student in that session, then you just scored yourself a private, one-on-one Intro to Data Science Lesson! Who This Class is For: Everyone! Non-programmers, beginners, working/business professionals, and entrepreneurs looking to get acquainted with Data Science using Python to boost their careers. Regardless of your background, whether you work in finance, insurance, journalism, healthcare, IT, or any other industry, you can greatly benefit from this class. You’ll be learning from our expert instructor that has taught Data Science, Python, SQL, Machine Learning, and Blockchain to over 30,000 students on Udemy! What You’ll Learn: You will learn the basic and fundamental concepts of data science using the Python programming language. You will learn how data science can be used in real-world situations and applications. You will also be guided towards how you can master data science. Topics Covered: Introduction to Python Programming Data science jobs Learn Python for data analytics using Pandas and NumPy Creating DataFrames from scratch using a dictionary or list Data Cleaning & Preparation for Analysis Data Imputation Aggregation, Wrangling, Rearranging, and Reshaping data Join, Concatenate, Pivot, and Melt Functions Data Manipulation Time Series Data Analysis Data visualization with Matplotlib NO PRIOR EXPERIENCE IS NEEDED. We will assist you with installing and setting everything up. All we need you to do is bring in your own laptop! What to Bring: Laptop with Google Chrome Browser installed At the end of this course, you’ll have code to add to your Github account!