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Start Your Free Trial Today >>Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2
Learn R Programming by doing!
There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!
This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.
After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.
This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.
What you will learn:
Learn how to use R Studio
Learn the core principles of programming
Learn how to create vectors in R
Learn how to create variables
Learn about integer, double, logical, character, and other types in R
Learn how to create a while() loop and a for() loop in R
Learn how to build and use matrices in R
Learn the matrix() function, learn rbind() and cbind()
Learn how to install packages in R
In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!
The course is structured the following way:
Module 1: Core Programming Principles
Module 2: Fundamentals Of R
Module 3: Matrices
Module 4: Data Frames
Module 5: Advanced Visualization With GGPlot2
I can't wait to see you in class!
Sincerely,
Kirill Eremenko
$35
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
$157
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program Plus, Pro Plan perks just for you: - š A Personalized Career Path built around your goals - š§āš« 1-on-1 Mentoring Sessions every month - āļø Personalized Resume Reviews "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
Course content
Welcome to This Section. This Is What You Will Learn!
01:11
Types of Variables
10:11
Using Variables
10:24
Logical Variables and Operators
07:42
The "While" Loop
07:24
Using the Console
03:56
The "For" Loop
05:30
The "If" Statement
12:15
Section Recap
05:22
HOMEWORK: Law of Large Numbers
15:13
Quiz: Core Programming Principles
Welcome to This Section. This Is What You Will Learn!
01:04
What Is a Vector?
04:17
Let's Create Some Vectors
13:12
Using the [] Brackets
10:31
Vectorized Operations
05:49
The Power of Vectorized Operations
16:22
Functions in R
17:59
Packages in R
09:20
Section Recap
06:19
HOMEWORK: Financial Statement Analysis
07:43
Quiz: Fundamentals of R
Welcome to This Section. This Is What You Will Learn!
01:11
Project Brief: Basketball Trends
09:22
Matrices
06:30
Building Your First Matrix
13:42
Naming Dimensions
03:35
Colnames() and Rownames()
10:02
Matrix Operations
06:13
Visualizing With Matplot()
11:42
Subsetting
09:20
Visualizing Subsets
04:14
Creating Your First Function
08:47
Basketball Insights
12:38
Section Recap
06:04
HOMEWORK: Basketball Free Throws
07:13
Quiz: Matrices
Welcome to This Section. This Is What You Will Learn!
01:47
Project Brief: Demographic Analysis
04:17
Importing Data Into R
05:52
Exploring Your Dataset
10:19
Using the $ Sign
06:23
Basic Operations With a Data Frame
09:48
Filtering a Data Frame
09:04
Introduction to qplot
09:09
Visualizing With Qplot: Part I
06:23
Building Dataframes
10:03
Merging Data Frames
07:38
Visualizing With Qplot: Part 2
06:51
Section Recap
07:20
HOMEWORK: World Trends
06:17
Quiz: Data Frames
Welcome to This Section. This Is What You Will Learn!
01:23
Project Brief: Movie Ratings
04:03
Grammar Of Graphics - GGPlot2
11:26
What is a Factor?
07:13
Aesthetics
06:55
Plotting With Layers
05:19
Overriding Aesthetics
07:49
Mapping vs Setting
08:09
Histograms and Density Charts
07:09
Starting Layer Tips
08:41
Statistical Transformations
10:38
Using Facets
09:30
Coordinates
10:28
Perfecting By Adding Themes
11:04
Section Recap
09:51
HOMEWORK: Movie Domestic % Gross
07:06
Quiz: Advanced Visualization With GGPlot2
Homework Solution Section 2: Law Of Large Numbers
12:02
Homework Solution Section 3: Financial Statement Analysis
18:36
Homework Solution Section 4: Basketball Free Throws
16:11
Homework Solution Section 5: World Trends
16:31
Homework Solution Section 6: Movie Domestic % Gross (Part 1)
11:41
Homework Solution Section 6: Movie Domestic % Gross (Part 2)
11:09