Data Science is a demanding area and day by day; it becomes more demanding. The [course_title] course focuses on the essential concepts of data science that you need to know for handling real-world data analysis challenges.
You will learn about probability, inference, regression and machine learning. Focuses will be given on R programming, data wrangling with dplyr, data visualisation with ggplot2, file organisation with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio
Upon completion, you will learn the basic building blocks of R.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: Harvard University
Course Curriculum
Motivation | 00:03:00 | ||
Getting Started | 00:05:00 | ||
Objects | 00:03:00 | ||
Functions | 00:10:00 | ||
Data Types | 00:09:00 | ||
Vectors | 00:05:00 | ||
Vector Coercion | 00:04:00 | ||
Sorting | 00:06:00 | ||
Vector Arithmetic | 00:03:00 | ||
Indexing | 00:04:00 | ||
Indexing Functions | 00:04:00 | ||
Basic Data Wrangling | 00:06:00 | ||
Creating Data Frames | 00:01:00 | ||
Basic Plots | 00:03:00 | ||
Introduction to Programming in R | 00:01:00 | ||
Basic Conditionals | 00:06:00 | ||
Basic Functions | 00:04:00 | ||
For Loops | 00:04:00 | ||
Other Functions | 00:01:00 | ||
Assessment | |||
Submit Your Assignment | 00:00:00 |
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