Data Visualization (Irvine, CA)

Data Visualization

People are realizing the vast benefits and uses of analyzing Big Data but the majority of people lack the skills and the time needed to understand this data. This is where data visualization comes in. Learn to create easy to read and simple graphs charts and other visual representations of data. This course will give you a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data. This workshop is for anyone interested in learning more about python data science or data visualizations. Takeaways In this workshop you ll learn Data Visualization with Python Manage your workflow with the Jupyter Notebook Environment Creating and manipulating arrays with the numpy library Use the pandas module with Python to create and structure data Learn how to work with various data formats like JSON HTML and MS Excel Worksheets within Python Create data visualizations using matplotlib and the seaborn modules with Python This course has been specially designed for students who want to learn a variety of ways to visually display data with Python. On completion of this course you will have gained a deeper understanding of the options available for visualizing data. Prereqs & Preparation You must bring a laptop with a text editor. Sublime Text is recommended and has a free trial version ( www.sublimetext.com ). In addition students should install Anaconda which is a free package that includes python and a number of tools that will be used in class ( continuum.io downloads). Course Requirements Basic math skills. Basic to Intermediate Python Skills A desire to learn Schedule DAY1 Session I (9 am - 5 pm) Course Introduction Getting Matplotilb And Setting Up Session II (9 am - 5 pm) Different types of basic Matplotlib charts Section Intro Basic Matplotlib graph Labels titles and window buttons Legends Bar Charts Histograms Scatter PlotsStack PlotsPie Chart Loading data from a CSV Loading data with NumPy Section Outro Session III (9 am - 5 pm) Basic Customization Options Getting Stock Prices For Our Data Set Parsing stock prices from the internet Plotting basic stock data Modifying labels and adding a grid Converting from unix time and adjusting subplots Customizing ticks Fills and Alpha Add remove and customize spines Candlestick OHLC charts Styles with Matplotlib Creating our own Style Live Graphs Adding and placing text Annotating a specific plot Dynamic annotation of last price Section Outro DAY2 Session IV (9 am - 5 pm) Advanced Customization Options Section Intro Basic subplot additions Subplot2grid Incorporating changes to candlestick graph Creating moving averages with our data Adding a High minus Low indicator to graph Customizing the dates that show Label and Tick customizations Share X axis Multi Y axis Customizing Legends Section Outro Session V (9 am - 5 pm) Geographical Plotting with Basemap Section Intro Downloading and installing Basemap Basic basemap example Customizing the projection More customization like colors fills and forms of boundaries Plotting Coordinates Connecting Coordinates Section Outro Session VI (9 am - 5 pm) 3D graphing Section Intro Basic 3D graph example using wire_frame 3D scatter plots 3D Bar Charts More advanced Wireframe example Follow Us On Social Media Facebook s www.facebook.com thedevmasters Twitter s twitter.com thedevmasters