The applied data science with R specialization is a comprehensive learning program on Coursera that lets you learn data science skills with R and SQL. This course will teach you to extract insights from raw data using data science skills.
In this blog post, we will explore the Applied Data Science With R Specialization course and discover who will benefit from this course.
What Is Applied Data Science With R Specialization On Coursera?
As mentioned earlier, the Applied Data Science With R Specialization on Coursera is a thorough learning program designed by IBM to help aspiring data science professionals learn data science skills using R and SQL programming languages.
It is designed for beginner learners who want to step into the field of data science using R and SQL. This specialization course comprises five separate courses that explain how to perform data science processes using R. The following are the five courses included in this specialization.
- Introduction to R Programming for Data Science
- SQL for Data Science with R
- Data Analysis With R
- Data Visualization With R
- Data Science With R – Capstone Project
What will you learn in this specialized course?
By joining this course, you will learn how to use R programming for data science using Jupyter Notebooks or RStudio. You will work on data structures, data manipulation, APIs, and webscraping using R programming.
This specialization will teach you how to build relational databases and tables, load them with CSV files, and query data using SQL and R.
You will learn the whole data analysis process, including data preparation, statistical analysis, and predictive modelling, by the end of this course. Also, you will learn how to prepare data visualization models to present your findings using libraries such as R Shiny, ggplot, and leaflet.
What Concepts Are Taught In This Course?
As mentioned earlier, the Applied Data Science With R Specialization contains five courses. The first course, Introduction to R Programming for Data Science, teaches the basics of R programming language for data science processes.
It covers data types, data structures, functions, loops, string operations, and error handling in R programming. By the end of this course, you will learn how to read, write, and save data files using R language. Also, you will learn to scrape web pages using R language.
The next course, SQL for Data Science with R, explains how to create and execute basic SQL statements and combine SQL and R to query real-life datasets.
You will learn to create SQL statements to filter, sort and group results, use built-in functions, compose nested queries, and access multiple tables. The aim of this course is to teach you how to create and access a database instance on the cloud.
The third course, Data Analysis with R Teaches how to prepare data for analysis and then analyze it using different techniques like descriptive statistics, correlation statistics, data grouping and analysis of variance.
Next, you will learn data visualization techniques using R. You will learn to construct bar charts, histograms, pie charts, scatter plots, box plots, line graphs, and maps using R language. This course will teach you how to build interactive dashboards using R.
Finally, there will be a capstone project on Data Science with R where you have to apply your skills and knowledge acquired from the above courses and build a project by following the instructions of the trainer. This will cement your skills in the subject and allow you to showcase your achievements to secure a good job.
Who Should Join Applied Data Science With R Specialization?
Beginners in data science who want to learn data science with R language can join this course. Also, professionals who perform data science processes using Python and want to specialize in the R language can enrol in this course.
In addition, students and other individuals who want to learn data science processes using the R language can join this particular course on Coursera.
Will You Get A Job After Completing The Applied Data Science With R Specialization On Coursera?
By only completing the Applied Data Science With R Specialization on Coursera, you won’t be eligible for a job, but the skills learned from this course will help you in getting a job.
After completing this specialization, you can join advanced data science courses to enhance your analytical skills and increase your chances of getting a job.
By acquiring more skills and certificates in data science, you can enhance your eligibility to get a job in this field. Once you are ready to do a job, you need to build a portfolio to present all your skills, knowledge and experiences in data science to potential employers.
You can apply for entry-level job roles in data science, enrol in internship programs, or work on freelance projects, depending on your choices. Some entry-level job posts for data science professionals are data analyst, data scientist, data engineer, business analyst engineer, etc.
How Long Does This Course Last?
The Applied Data Science With R Specialization will take two months to complete if you study 10 hours a week. However, the good thing is it is available on a flexible schedule, so you can study at your own convenience.
How much does the Applied Data Science With R Specialization cost?
If you want to join this individual course on Coursera for one month, it will cost you $39 a month. However, if you have a Coursera Plus subscription, you can enrol in this course for free.
You can also join the Coursera Plus subscription for $59 per month to access 10,000+ courses and specializations on Coursera.
Is it worth taking Applied Data Science With R Specialization on Coursera?
The Applied Data Science With R Specialization on Coursera gives a detailed overview of performing data science processes using R language and SQL to beginners. So, it is definitely worth taking this course if you want to step into the field of data science with R language.
With thorough explanation and applied learning projects, the course aims to equip the learners with the essential data science skills and let them perform data science processes using R.
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