Is Applied Data Science with R Specialization beginner friendly?

Yes, this course is designed for beginners. It covers foundational concepts and requires no prior advanced knowledge in the subject area.

How long does it take to complete Applied Data Science with R Specialization?

The total duration of the course is approximately 2 months at 10 hours a week. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Does this course include hands-on projects?

Yes, the curriculum is highly practical and includes hands-on projects. Completing these will help you build a portfolio of work to demonstrate your new skills.

What careers is this course relevant for?

The skills taught in this course are highly relevant for professionals pursuing roles within Data Science and adjacent technical fields looking to upskill.

Data Science|Data Science Learning Path

Applied Data Science with R Specialization

Name: Applied Data Science with R Specialization
Availability: InStock
Rating: 4.5 (131 reviews)

Build Your Data Science Skills with R & SQL. Master the ability to transform data into information and insights.

4.5|Reviews (131)

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Coursera Plus

₹13,999/yr

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Coursera Plus

₹2,099/mo

Single Learning ProgramStarting from ₹1,699/month

₹1,699/mo

TeamsPer user for 12 months

₹24,688

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced LearningProject-Based

SKILLS TO
MASTER

Analytics

Exploratory Data Analysis

Modeling

Predictive Machine Learning

SQL Querying

Relational Data Management

Pandas

Matplotlib

Statistics

Tableau

ETL

Careers:Data Scientist, Data Analyst, Machine Learning Engineer.

💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.

Quick Facts

2 months at 10 hours a week

IBM

Beginner

Self-Paced Online

Course Series (Specialization)

coursera

English

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What You’ll Learn

Learn in-demand skills from university and industry experts

Master a subject or tool with hands-on projects

Develop a deep understanding of key concepts

Earn a career certificate from IBM

See how this course curriculum compares with alternatives

Outcomes

Perform basic R programming tasks like working with data structures, data manipulation, using APIs, webscraping, and using R Studio and Jupyter..
Create relational databases and tables, load them with data from CSV files, and query data using SQL and R using JupyterLab..
Complete the data analysis process, including data preparation, statistical analysis, and predictive modeling..
Communicate data analysis findings with data visualization charts, plots, and dashboards using libraries such as ggplot, leaflet and R Shiny..

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