Machine Learning Course Free
With Machine Learning Course Free Become a professional Data Scientist with R and learn Machine Learning, Data Analysis + Visualization, Web Apps + more!
What you'll learn in machine learning course free
- 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
Description About machine learning course free
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.
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Intro to Data Science + Machine Learning
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Data Science Industry and Marketplace
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Data Science Job Opportunities
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R Introduction
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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.
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Vectors
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Matrices
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Lists
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Data Frames
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Operators
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Loops
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Functions
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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.
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Tidy Data
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Pipe Operator
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dplyr verbs: Filter, Select, Mutate, Arrange + more!
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String Manipulation
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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.
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Aesthetics Mappings
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Single Variable Plots
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Two-Variable Plots
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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.
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Intro to Machine Learning
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Data Preprocessing
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Linear Regression
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Logistic Regression
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Support Vector Machines
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K-Means Clustering
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Ensemble Learning
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Natural Language Processing
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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.
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Creating a Resume
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Personal Branding
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Freelancing + Freelance websites
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Importance of Having a Website
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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