8 Courses and Certifications

Online Data Science With R And Python Courses & Certifications

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Introduction to R Programming for Data Science

Offered by

Certificate

Introduction to R Programming for Data Science

The Introduction to R Programming for Data Science online certification was developed by IBM Skills Network and instructed by Yan Luo, Ph.D., Data Scientist, and Developer and is made available through Coursera and is targeted at individuals who are interested in learning the fundamental ideas behind data science and data analysis operations using the features of R programming. The Introduction to R Programming for Data Science online course teaches individuals about the fundamentals of the R language, including data types, data manipulation methods, and how to carry out basic programming operations.

Introduction to R Programming for Data Science online classes contains 10 hours of video-based study materials that introduce individuals to basic programming concepts, standard data structures, and data manipulation techniques, all with the assistance of the R programming language. Individuals who successfully finish this program will be able to develop a basic program in RStudio, work with data in a data frame or matrix, and complete the final project as professional data analysts utilizing Watson Studio and Jupyter notebooks to gather and evaluate data-driven insights.

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5 Weeks
Beginner
3,177
Skills Covered:
Data science knowledge R Programming
Analyzing Data with Python

Offered by

IBM via Edx
Certificate

Analyzing Data with Python

Analyzing Data with Python certification course is designed by IBM and taught by Joseph Santarcangelo - PhD., Data Scientist at IBM, which is delivered by edX, which is targeted at the students looking for a comprehensive learning environment that could assist in their mastery of the concepts and methods required to develop the skills necessary for analyzing data with the Python programming language. Students who are interested in enrolling in the Analyzing Data with Python online classes by IBM and edX should be familiar with the fundamentals of programming in Python.

Analyzing Data with Python online training is a 5-week learning program that includes approximately 20 hours of extensive video-based materials that cover topics such as data loading, data manipulation, data preparation, data cleaning, linear regression, data visualization, ridge regression, polynomial regression, and machine learning models. Students who successfully finish the verified version of this program will also receive a skill badge that validates their knowledge and skills.

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5 Weeks
Free
Skills Covered:
Decision making skills Statistical skills Machine learning Knowledge of Python Knowledge of Data Visualization
Data Visualization with R

Offered by

Certificate

Data Visualization with R

The Data Visualization with R online certification, created by IBM Skills Network, is taught by Yiwen Li, a software engineer, Tiffany Zhu, a data scientist, Saishruthi Swaminathan, a data scientist, and developer advocate, and Gabriela de Queiroz, a program director, and it is offered through Coursera, which is intended for learners who want to master the Grammar of Graphics and learn how the ggplot2 data visualization package for R applies to basic bar charts, pie charts, scatter plots, line plots, box plots, and histograms.

Data Visualization with R online classes incorporates 11 hours of learning materials that concentrate on teaching the methods for personalizing charts and plots using themes and talking about the methods for using data visualization for Leaflet. With Data Visualization with R online training, learners will be taught about concepts involved with data science, data visualization, and data analysis as well as acquainted with approaches for building interactive dashboards using the R Shiny package.

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4 Weeks
Beginner
3,177
Skills Covered:
Data science knowledge R Programming Knowledge of Data Visualization
Python Project for Artificial Intelligence and Application Development

Offered by

Certificate

Python Project for AI & Application Development

The Python Project for AI & Application Development online certification was developed by IBM Skills Network and is taught by Ramesh Sannareddy, a Data Engineering Expert, and Joseph Santarcangelo, a Ph.D., a Data Scientist at IBM, which is available through Coursera and is intended to help students gain an understanding of the techniques to put their knowledge of the strategies and concepts of python to use for artificial intelligence operations and developing applications.

Students are strongly encouraged to take IBM's “Python for Data Science, AI, and Development” course before enrolling in the Python Project for AI & Application Development online training. Python Project for AI & Application Development online classes cover subjects including status code analysis, application testing, and python packages and tools like Flask and Theia labs. By the end of the course, students will have the skills necessary to start utilizing Python to develop AI-powered applications, create and execute unit tests, and distribute the application.

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2 Weeks
Intermediate
3,087
Skills Covered:
Knowledge of Python Knowledge of Artificial Intelligence Web application development skills
Python Project for Data Science

Offered by

Certificate

Python Project for Data Science

The Python Project for Data Science certification course, created by IBM Skills Network and taught by Azim Hirjani, a Cognitive Data Scientist, and Joseph Santarcangelo, a Ph.D., a Data Scientist at IBM, is offered through Coursera, which is designed for candidates who want to learn about the strategies and procedures related to using Python programming to work with data for data science operations.

Python Project for Data Science online training involves 6 hours of digital lectures accompanied by hands-on projects where students will be assisted in creating a simplistic dashboard in Python. The Python for Data Science, AI, and Development course by IBM is a prerequisite for participation in the Python Project for Data Science online course, which teaches students about topics like data structures, data extraction, data analysis, dashboards, web scraping, and much more. 

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1 Week
Intermediate
3,177
Skills Covered:
Data science knowledge Knowledge of Python
Python Project for Data Engineering

Offered by

Certificate

Python Project for Data Engineering

The Python Project for Data Engineering certification course, developed by IBM Skills Network and taught by Ramesh Sannareddy, a subject matter expert in data engineering, and Joseph Santarcangelo, a Ph.D., data scientist at IBM, is made available by Coursera, which is intended for participants who want to evaluate their expertise by using web scraping and extracting data with APIs, all with the help of numerous hands-on experiments.

Python Project for Data Engineering online classes provides 7 hours of prerecorded learning materials with an emphasis on assisting participants in obtaining the knowledge necessary to apply fundamental Python abilities by utilizing various data collection and data processing strategies. The Python Project for Data Engineering online course covers subjects such as Watson Studio, Jupyter notebooks, and API functions as well as demonstrates how to extract data from various file formats, change it into particular datatypes, and then load it into a particular source for analysis.

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1 Week
Intermediate
3,878
Skills Covered:
Knowledge of Python

Offered by

Certificate

Data Science with R and Python | R Programming

Python offers a more open-ended approach to data science, whereas R programming is mostly utilized for statistical research. Data analysis and statistics are the main goals of R programming, whereas production and deployment are the main goals of Python. Data Science with R and Python | R Programming certification course is developed by Oak Academy, a learning management system that also offers courses in IOS, Android, Ethical Hacking, IT, Web & Mobile Development, and is made available by Udemy.

Data Science with R and Python | R Programming online course involves 13 hours of prerecorded lectures accompanied by 4 articles and 9 downloadable resources, which is designed for the participants who wish to become certified data scientists by learning the features of Python and R programming. Data Science with R and Python | R Programming online training explains the topics like data visualization, data munging, data analysis, data manipulation, business analytics, data transformation, data frames, Pandas, Numpy, Matplotlib, and more.

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3,499
Skills Covered:
Data science knowledge Knowledge of Python Business analytics knowledge Programming skills R Programming Knowledge of Data Visualization Knowledge of Numpy Knowledge of Big Data Machine learning Financial knowledge

Offered by

Certificate

Data Analysis using Python and R for Absolute Beginner.

Both Python and R are fantastic languages for performing data analysis. Additionally, they are both excellent for those who have never programmed before. Fortunately, there are a variety of resources and materials available to assist people along the path, regardless of whatever language they decide to learn originally. Piyush S, a data scientist, engineer, and project manager, designed the Data Analysis using Python and R for Absolute Beginner[2022] online certification, which is provided by Udemy.

Data Analysis using Python and R for Absolute Beginner[2022] online classes incorporates more than 12.5 hours of detailed lectures supported by articles, 36 downloadable resources, assignments, and case studies on bank marketing, uber supply demand, car datasets, and more. Data Analysis using Python and R for Absolute Beginner[2022] online training provides a deeper comprehension of the fundamentals of Python and R programming for data analysis operations, which also covers topics like data visualization, exploratory data analysis, website scraping, data extraction, and data cleaning.

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Beginner
3,499
Skills Covered:
Data science knowledge R Programming Knowledge of Python Knowledge of Data Visualization Knowledge of Numpy

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