Advanced and Interactive Visualization in R Bootcamp
Advanced and Interactive Visualization in R Bootcamp
In this Bootcamp students will take their R skills to the next level and learn how to effectively communicate the results of their analysis with a few lines of code. They?ll develop a powerful toolkit to visualize data with static graphs and interactive dashboards. By the end of the course, students will be able to create interactive visualizations and publish dynamic visualizations to websites.
Students must be comfortable using R to manipulate data and must know how to create basic visualizations.
Prior to the live sessions, it is recommended that you download and install R studio (https://rstudio.com/products/rstudio/download/#download) and R (https://cran.r-project.org/).
Gain the skills required to work with data center solutions as you prepare for the 350-601: Implementing and Operating Cisco Data Center Core Technologies (DCCOR) certification exam.
This collection of courses delivers an immersive micro-learning that lets you watch, read, listen, and practice a little at a time, when it is convenient for you. The Cisco Certification has been curated based on competencies and skills mapped to hundreds of thousands of requests from employers. It includes: bootcamps so you can learn with others; labs to practice skills without having to install specialized software; AI-driven personalization and recommendations based on your learning; mobile and off-line access to content; online mentor support; and digital badges as evidence of learning that you can share with others or post on social media.
This Bootcamp is about data analysis and how it can be utilized to solve problems in a business environment. This course addresses techniques for sourcing and analyzing data, interpreting and visualizing data, basic statistics, algorithms, and tables, and building awareness about bias in data.
An ideal candidate for this Bootcamp is anyone in a professional role who would like to use data to gain insights and make better decisions.
There are no prerequisites for this Bootcamp.
Acquire knowledge of building and maintaining data processing systems, and data analysis as you prepare for the Data Engineer certification.
This collection of courses delivers an immersive micro-learning that lets you watch, read, listen, and practice a little at a time, when it is convenient for you. The Google Certification has been curated based on competencies and skills mapped to hundreds of thousands of requests from employers. It includes: bootcamps so you can learn with others; labs to practice skills without having to install specialized software; AI-driven personalization and recommendations based on your learning; mobile and off-line access to content; online mentor support; and digital badges as evidence of learning that you can share with others or post on social media.
This Bootcamp is designed for people who do not work in data analytics areas but do work with business and policy data, and for whom appreciating how to connect with data is vital to engendering a data-driven culture throughout their organization.
In this Bootcamp you will become familiar with data science concepts and terms, understand what it means to work in a data-driven culture, identify common issues in data collection and analysis, interpret data visualizations to make strategic decisions, and practice designing and developing a data project.
Welcome to the Data Science for Managers Bootcamp Channel!
This Bootcamp teaches managers how to identify opportunities to make better decisions by utilizing new insights from data; which techniques and approaches should be used for various data science projects; how to avoid pitfalls when drawing conclusions from data; and how to create a strategy for building a data analytics team and improving
decision-making across the organization.
Welcome to the Data Visualization and Storytelling Bootcamp channel!
This 12-hour Bootcamp teaches participants the fundamentals of data visualization, which they can use to support data-driven decision-making and a data-driven culture. By the end of this course, they will be able to recognize misleading or inaccurate charts and graphs, understand the design principles involved in creating effective and accurate visualizations, and create a narrative that accurately supports the data, provides context, and reveals actionable insights.
Welcome to the Data Visualization with Python Bootcamp channel!
Nothing is more powerful than effective data visualizations. Students will develop a powerful toolkit to visualize data with static graphs and interactive charts. This course will help students become expert data communicators to make their analyses shine. By the end of the course, attendees will be able to manipulate and summarize a variety of file formats and build intuitive data visualizations with Python.
Attendees must be comfortable using Python to manipulate data and perform basic operations.
Before attending the course, please download and install Anaconda from the following URL:
Welcome to the Data Wrangling in Python Bootcamp channel!
Python programming is among the most powerful and widely used tools by data scientists today. This course will cover how to leverage Python?s capabilities to manipulate and explore data. By the end of this program, attendees will be able to outline use cases for Python and automate tedious data processes and clean data for analysis.
Attendees should be familiar with Python programming and be able to execute basic functions and import multiple data types.
1. Identify what data science is and why it's important
1. Program proficiently in Python
1. Automate data cleaning and processing
Python & Anaconda - Anaconda and Jupyter Notebook
Students must have learned the basic features of Python and have an understanding of these areas before attending class:- Variables: defining, swapping, printing and deleting variables- Main data types: numbers, logicals, strings- Basic data structures: lists, sets, dictionaries, tuples.- Control flow structures and modular code- Conditional statements- ?For? loops and list comprehensions- ?While? loops and break/continue statement"
This Bootcamp will give students the foundational skills they need in order to process, clean, and format text data for analysis. By the end of this course, students will be able to integrate text mining into their work. Students will also learn how to visualize text data and begin working with text mining analysis.
The ideal candidate for this Bootcamp has experience using Python to manipulate and visualize data and wants to expand their skills in programming in Python and text mining analysis.
Prior to attending the Live sessions, attendees must be comfortable using Python to manipulate data and must know how to create advanced visualizations in Python.
Before attending the Bootcamp, please download and install Anaconda from the following URL:
This course is designed to introduce you to the machine learning basics using python and help you build industry level use case for financial banks - predicting fraud in credit card transaction. This course will help you learn most popular python libraries like scikit learn, pandas, numpy and many more along with theoretical concepts like supervised learning, model building and optimisation, feature engineering and pre-processing. The course will also cover basic machine learning algorithms like Linear Regression, Logistic Regression, Decision Trees and Random Forest.
This course will benefit you if you are new to machine learning and python, or if you are coming from any IT vertical or other cross functional areas like marketing, finance, human resource, sales etc and looking forward to enhance your skills (make sure to take pre-requisite courses before attending; Machine Learning Introduction, Data Science Overview, and Python - Introduction to Pandas and DataFrames). The course will be 4 hours per day for 4 days and will include combination of theory lectures, virtual games, digital whiteboard, live quizzes, industry information, python hand-on demos, assignments, future reference and notes.
The course includes building live end to end machine learning use case from financial domain where you will experience everything from data processing, feature engineering, model building, model optimisation and deployment using various python libraries and core machine learning concepts to help banks predict transactional fraud model that can save them million of dollars.
In this Bootcamp students will automate their intelligence gathering with R, an easy-to-learn programming language that takes care of tedious data collection and cleanings tasks. This course will give students the foundational tools they need to work with data in R and build insightful visualizations. By the end of this course, students will be able to import and clean data in R, define how data science is used commercially, and quickly build data visualizations.
While no prerequisites are required, people with some experience working with data are best suited for this Bootcamp. Prior to the live sessions, it is recommended that you download and install R studio (https://rstudio.com/products/rstudio/download/#download) and R (https://cran.r-project.org/).