Data science course online free
With Data Science Course Online Free Become a professional Data Scientist with R and learn Machine Learning, Data Analysis + Visualization, Web Apps + more!
What you'll learn in data science course online 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
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