Master data analytics with hands-on R programming. This beginner-friendly course covers essential techniques, data visualization, and practical projects to enhance your skills.
This course is an easy guide for beginners to learn data analytics using R. You’ll dive into data analysis, visualization, and even work on a real data science project, all while having fun and no prior coding experience needed!
Learn data analytics in easy to follow stages for beginners
Data analysis becomes essential part of every day life. After this course, you will be able to conduct data analysis task yourself. Gain insights from the data.
Will be using R - widely used tool for data analysis and visualization.
Data Science project will be core course component - will be working on it after mastering all necessary background. Doing data analysis from ground up to final insights.
Starting from very basics we will move to various input and output methods. Yet another important concept - visualization capabilities. After the course you will be able to produce convincing graphs.
Background behind functional programming will be presented - including building your own functions.
After finishing the course you will feel much more comfortable programming in other languages as well. This is because R being fully empowered programming language itself. Main programming concepts presented:
Various data types
Conditional statements
For and While loops
No previous programming knowledge required.
Finally, data mining and data science techniques in R delivered in clear fashion together with assignments to make sure you understand topics. Main statistical capabilities behind data science covered.
Course is interactive. Specific topic covered in each lecture. Each lecture includes multiple examples. All material covered in videos are available for download! This way student is able to program himself - break things and fix them.
Students will finish course in approximately 7-10 days working 3 hours per day. Time spent working individually included.
After each section assignment should be completed to make sure you understand material in the section. After you are ready with the solution - watch video explaining concepts behind assignment.
I will be ready to give you a hand by answering your questions.
Finally, this course is specifically designed to get up to speed fast. Biggest emphasis put on real examples and programming yourself. This distinguishes this course from other material available online - usual courses includes vague slides and long textbooks with no real practise.
Data Science project at the end of the course
Learn programming concepts
Conduct your independent data analysis
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Data analyst with more than 3 years of experience. Employing various tools for data analysis. Always picking the right tool to do the job. I use R package often combining it with Excel, SQL databases and Access on daily basis. Graduated econometrics from Vilnius University faculty of Mathematics and Informatics. Afterwards I worked as economical forecaster. Currently my position being...
Yes, in this course I have learned a lot about the data analysis in R from basic to advance level.
The introductory bit though not exhaustive provides a a window to the possibilities that lie ahead. I'm more curious now
Course is good and explains really useful codes for data mining
doesnt know how to speak. gives me a headache in 5 mins. worst course
please return my money
Excellent so far. Good pace and very well spoken
Need to organize the content properly and minimize the repetition of content and speech.
The course should have been taught in a faster way.
Did not get the clear understanding of the basics of R. Skipped few important concepts which I got to know later from the other sources.
Incomplete explanation on the topics.
The lecturer should improve the accent to deliver what he actually mean to.
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Lerato M.
It was good, however it difficult to hear the instructor