R Programming - R Language for Absolute Beginners
What you'll learn
- Installing R and R Studio
- Manipulating R Vectors, Arrays and Matrixes
- Manipulating R Data Frames
- Plotting Data Using R
- Analyzing Real Datasets using R
- Organizing your Code in R
- Develop your own Functions in R
- Summarizing Data with R
- Load Excel Files with R
- Compute Basic Statistics about a Dataset
- Install External Libraries to Power up R
- Aggregate and Sort Data
- Subset Data
- Computer with at least 4GB Ram
So, you've decided that you want to learn R or you want to get familiar with it, but don't know where to start? Or are you a data/business analyst or data scientist that wants to have a smooth transition into R programming?
Then, this course was designed just for you!
This course was designed to be your first step into the R programming world! We will delve deeper into the concepts of R objects, understand the R user interface and play around with several datasets. This course contains lectures around the following groups:
Introductory slides lectures with the most well-known commands for each type of R object.
Code along lectures where you will see how we can implement the stuff we will learn!
Test your knowledge with questions and practical exercises with different levels of difficulty!
Analyze real datasets and understand the thought process from question to R code solution!
This course was designed to be focused on the practical side of coding in R - instead of teaching you every function and method out there, I'll show you how you can read questions and examples and get to the answer by yourself, compounding your knowledge on the different R objects.
At the end of the course you should be able to use R to analyze your own datasets. Along the way you will also learn what R vectors, arrays, matrixes and lists are and how you can combine the knowledge of those objects to power up your analysis.
Here are some examples of things you will be able to do after finishing the course:
Load CSV and Excel files into R;
Do interesting line plots that enable you to draw conclusions from data.
Plot histograms of numerical data.
Create your own functions that will enable you to reutilize code.
Slice and dice Data Frames, subsetting data for specific domains.
Join thousands of professionals and students in this R journey and discover the amazing power of this statistical open-source language.
This course will be constantly updated based on students feedback.
Who this course is for:
- Data Analysts
- Business Analysts
- Financial Managers
- Software Engineering Undergraduates
- Data Scientists
- Data Engineers
- R learners
- Entry-level Data Scientists
Ivo Bernardo is an experienced professional driven by an enthusiasm for Data Science and Analytics. As a Partner at DareData Engineering, a startup specializing in the global implementation of machine learning systems for a diverse range of businesses, he had the opportunity to work in multiple phases related to creating value from Data.
With a Master's Degree in Statistics and Business Intelligence from New University of Lisbon, Ivo is also a college teacher and mentor. Over the years, he has assumed the role of an instructor in numerous data science academies, where his true passion shines through – guiding beginners and professionals from diverse industries as they embark on their journey into the realm of Data Science and Analytics.
For those interested connecting or exploring potential collaborations, Ivo welcomes inquiries on LinkedIn and Udemy. Don't hesitate to reach out, as he is open to discussions that could lead to exciting business ventures or innovative partnerships!
Ivo Bernardo é um profissional experiente impulsionado por um entusiasmo pela Ciência de Dados e Análise. Como Partner na DareData Engineering, uma startup especializada na implementação global de sistemas de machine learning para uma variedade de empresas, teve a oportunidade de trabalhar em várias fases relacionadas à criação de valor a partir de dados.
Com um Mestrado em Estatística e Business Intelligence pela Universidade Nova de Lisboa, Ivo também é professor universitário e mentor. Ao longo dos anos, assumiu o papel de instrutor em diversas academias de ciência de dados, onde o seu verdadeiro entusiasmo se destaca - orientar iniciantes e profissionais de diversas indústrias à medida que embarcam em sua jornada no universo da Ciência de Dados e Análise.
Para aqueles interessados em conectar-se ou explorar potenciais colaborações, pode conectar-se no LinkedIn e Udemy. Não hesite em entrar em contato!