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    2021 Data Science & Machine Learning with R from A-Z Course

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    2021 Data Science & Machine Learning with R from A-Z Course - Online Course Download
    2021 Data Science & Machine Learning with R from A-Z Course - Online Course Download
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    What you'll learn :

    Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
    How to write complex R programs for practical industry scenarios
    Learn data cleaning, processing, wrangling and manipulation
    Learn Plotting in R (graphs, charts, plots, histograms etc)
    How to create resume and land your first job as a Data Scientist
    Step by step practical knowledge of R programming language
    Learn Machine Learning and it’s various practical applications
    Building web apps and online, interactive dashboards with R Shiny
    Learn Data and File Management in R
    Use R to clean, analyze, and visualize data
    Learn the Tidyverse
    Learn Operators, Vectors, Lists and their application
    Data visualization (ggplot2)
    Data extraction and web scraping
    Full-stack data science development
    Building custom data solutions
    Automating dynamic report generation
    Data science for business

    Requirements :

    Basic computer skills

    Description :

    Welcome to the Learn Data Science and Machine Learning with R from A-Z Course!

    In this practical, hands-on course you’ll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

    Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.

    The course covers practical issues in statistical computing which include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Blending practical work with solid theoretical training, we take you from the basics of R Programming to mastery.

    We understand that theory is important to build a solid foundation, we understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the R programming language, this course is for you!

    R coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers and much more. Adding R coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques.

    Together we’re going to give you the foundational education that you need to know not just on how to write code in R, analyze and visualize data but also how to get paid for your newly developed programming skills.

    The course covers 6 main areas:

    1: DS + ML COURSE + R INTRO

    This intro section gives you a full introduction to the R programming language, data science industry and marketplace, job opportunities and salaries, and the various data science job roles.

    Intro to Data Science + Machine Learning

    Data Science Industry and Marketplace

    Data Science Job Opportunities

    R Introduction

    Getting Started with R

    2: DATA TYPES/STRUCTURES IN R

    This section gives you a full introduction to the data types and structures in R with hands-on step by step training.

    Vectors

    Matrices

    Lists

    Data Frames

    Operators

    Loops

    Functions

    Databases + more!

    3: DATA MANIPULATION IN R

    This section gives you a full introduction to the Data Manipulation in R with hands-on step by step training.

    Tidy Data

    Pipe Operator

    dplyr verbs: Filter, Select, Mutate, Arrange + more!

    String Manipulation

    Web Scraping

    4: DATA VISUALIZATION IN R

    This section gives you a full introduction to the Data Visualization in R with hands-on step by step training.

    Aesthetics Mappings

    Single Variable Plots

    Two-Variable Plots

    Facets, Layering, and Coordinate System

    5: MACHINE LEARNING

    This section gives you a full introduction to Machine Learning with hands-on step by step training.

    Intro to Machine Learning

    Data Preprocessing

    Linear Regression

    Logistic Regression

    Support Vector Machines

    K-Means Clustering

    Ensemble Learning

    Natural Language Processing

    Neural Nets

    6: STARTING A DATA SCIENCE CAREER

    This section gives you a full introduction to starting a career as a Data Scientist with hands-on step by step training.

    Creating a Resume

    Personal Branding

    Freelancing + Freelance websites

    Importance of Having a Website

    Networking

    By the end of the course you’ll be a professional Data Scientist with R and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.

    Who this course is for :

    Students who want to learn about Data Science and Machine Learning

    Course Size Details :

    28.5 hours on-demand video
    1 downloadable resource
    Full lifetime access
    Access on mobile and TV
    Certificate of completion

    View Demo

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