Data Science Bootcamp: Your First Step as a Data Scientist
What you'll learn
- Developing Linear Regression in R
- Developing Logistic Regression in R
- Learning how to Evaluate Data Science Models
- Learning how to manipulate data with Dplyr
- Building a Data Science Project end-to-end
- Submit your own predictions into Kaggle
Requirements
- Computer with at least 4 GB of RAM
- Knowing the Basics of R Programming (R Objects, Functions and Libraries)
Description
So are you looking to jump into one of the most exciting fields to work on today? And are you looking for a course that explains all the theory behind algorithms with coding?
This course was designed to be your first complete step into Data Science! We will delve deeper into the concepts of Linear and Logistic Regression, understand how Tree Based models work and learn how to evaluate predictive models. Additionally, you will develop your first end-to-end kaggle project!
This course contains lectures around the following groups:
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;
This course was designed to be focused on the practical side of coding in R - other than studying the functions that let us build algorithms automatically we will investigate deeply how models are trained and how they get to the optimum solution to solve our data science challenges. And why will we use R?
R is one of the de facto languages for a lot of Data Science projects today - either for enterprise-level projects or research, R is a modern and flexible language with a smooth learning curve that enables most professionals to build predictive models in quick fashion.
At the end of the course you should be able to contribute to data science projects - understanding the choices you have to make when it comes to algorithms and learn how to evaluate those choices. Along the way you will also learn how to manipulate data with Dplyr because a huge percentage of the time spent in a Data Science project is focused on data preparation!
Here are some examples of things you will be able to do after finishing the course:
Solving Regression problems using Linear Regression or Regression Trees.
Solving Classification problems using Logistic Regression or Classification Trees.
Learn how to evaluate algorithms using different metrics.
Understanding the concept of bias and variance.
Using Random Forests and understanding the reasoning behind them.
Manipulating data using Dplyr.
Build your own Kaggle Data Science project!
Join thousands of professionals and students in this Data Science journey and discover the amazing power of R as a statistical open-source language.
This course will be constantly updated based on students feedback.
Who this course is for:
- Entry-Level Data Scientists
- R Coders
- Statisticians
- Business Analysts
- Financial Modelers
Instructor
- 4.6 Instructor Rating
- 4,127 Reviews
- 34,747 Students
- 8 Courses
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!
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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!