How to Make a Data Frame in R
Professional Certificate in
Applied Data Science with R
IBM
I'm interested
What you will learn
- Perform basic R programming tasks such as using common data structures, data manipulation, using APIs, webscraping, and working with R Studio and Jupyter.
- Create relational databases and query the data using SQL and R from JupyterLab.
- Complete the data analysis process, including data preparation, statistical analysis, and predictive modeling.
- Communicate data findings using data visualization charts, plots, and dashboards using libraries such as ggplot, leaflet and R Shiny.
- Demonstrate data analysis and visualization skills by completing a project that requires data collection, analysis, basic hypothesis testing, visualization, and modelling performed on real-world datasets.
Data Science and Data Analytics skills are in high demand and R is the programming language of choice for many data professionals. This Applied Data Science with R program emphasizes a hands-on approach to developing job-ready skills for analyzing and visualizing data using R.
You will start the program by learning the fundamentals of R language, including common data types and structures, and utilize it for basic programming and data manipulation tasks.
As you progress in the program, you will learn about relational database concepts and gain a foundational knowledge of the SQL language. You will access and analyze data in databases using R and SQL through Jupyter notebooks.
You will learn various data analysis techniques – from cleaning and refining data to developing, evaluating, and tuning , data science models. You will also learn how to tell a compelling story with data by creating graphs, visualizations, dashboards and interactive data applications.
In each course you will complete hands-on labs and projects to help you gain practical experience with data manipulation, analysis and visualization using a variety of datasets. You will work with tools like R Studio, Jupyter Notebooks, Watson Studio and related R libraries for data science, including dplyr, Tidyverse, Tidymodels, R Shiny, ggplot2, Leaflet, and rvest.
By the end of the program you will be able to apply the data science skills and techniques that you have accumulated and show case those skills in the R Data Science Capstone Project. involving a real-world dataset, and inspired by a real business challenge. This project will culminate in a presentation for reporting the results of data analysis with stakeholders.
Expert instruction
5 skill-building courses
Self-paced
Progress at your own speed
6 months
1 - 2 hours per week
Discounted price: $445.50
Pre-discounted price:
USD
For the full program experience
-
IBM's Applied Data Science with R Professional Certificate
-
1–2 hours per week, for 5 weeks
This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language.
-
2–3 hours per week, for 6 weeks
Build a baseline understanding about relational database concepts and learn how to apply foundational knowledge of the SQL and R languages through a series of hands-on labs to practice building and running SQL queries.
-
2–3 hours per week, for 6 weeks
R is the key that opens the door between the problems you want to solve with data and the answers you need. This course walks you through the process of answering questions through data.
-
1–2 hours per week, for 4 weeks
Learn about the ggplot2 data visualization package for R, creating map plots with geolocation data using Leaflet, and interactive dashboards to display your work on the web using the R Shiny package!
-
1–2 hours per week, for 4 weeks
Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.
-
- Data Analysts and Data Scientists are in demand, with 20% growth expected through 2028 (U.S. Bureau of Labor Statistics).
- Over 2.5 Million jobs in data science and related professions (Burning glass).
- Data Science and Analytics professionals earn average starting salaries of over $80,000 in the US.
- R is the preferred programming language for statistical analysis in many organizations. More than 400,000 open job postings required R programming skill in the last two years.
Meet your instructors
from IBM
Rav Ahuja
AI and Data Science Program Director
IBM
Jeff Grossman
Data Science and Engineering SME
Skillup Technologies
Yan Luo
Ph.D., Data Scientist and Developer
IBM
Experts from IBM committed to teaching online learning
Enrolling Now
Discounted price: $445.50
Pre-discounted price:
USD
5 courses in 6 months
Pursue the Program
Whether you are looking to accelerate your career, earn a degree, or learn something for personal reasons, edX has the courses for you.
Propelling
Drive your career forward with university-backed credit programs and verified certificates
Convenient
Study and demonstrate knowledge on your schedule
Flexible
Try a course before you pay
Supportive
Learn with university partners and peers from around the world
Source: https://www.edx.org/professional-certificate/ibm-applied-data-science-with-r
0 Response to "How to Make a Data Frame in R"
Post a Comment