Basic Analytical Techniques | Data Science With R Tutorial

Basic Analytical Techniques Using R tools. After completing this course you will be able to:
1. Get a basic introduction to R
2. Understand exploration of data
3. Explore data using R
4. Visualize data using R
5. Understand diagnostic analytics
6. Implementing diagnostic analytics using R
7. Understand these concepts with the help of case studies

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➡️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearn’s Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - [phone]

[flyingfish]

It provides a very comprehensive coverage of all the basics to start off with R. But be mindful of the tiny mistakes every now and then the "robot speaker" ( I think behind the scene is not a real person) makes, as "it" just blindly reads off the scripts without thinking.

[junweizhang]

Best R tutorial I've seen so far, thanks.

[pragyanshulabh]

Awesome video. Extremely helpful. Tons of thanks to the trainer and Simplilearn :)

[nancyv]

Muy clara explicación (y en un inglés muy claro también).

[LegendSatguruzInfotech]

really awesome Great work. Really happy. u make this so easy for me. so keep it up. Very good and nice technique of teaching. Specially your two words" Next Step"

[vjrobs]

Great video for understanding Data analysis and Visualization. Kudos to the efforts!!!

[brijeshshah]

Watched the whole video, never thought it would be so interesting can i get more of these, if its not a lot to ask, thanks already. :D

[LegendSatguruzInfotech]

The best video and all video were amazing. Keep it up ..

[RVideoTutorials]

Good coverage on basic analytical techniques. Thanks for sharing

[TerezaS]

Thank you for such a great tutorial! :) Would you be so kind and recommed me a source on how to perform latent aspect rating analysis using R? Thank you in advance!

[katniss]

nrow gives the number of columns and ncol gives the number of rows? I assume thats switched around?

[thanhavictus]

Do you have a link to the data set you are using on plotly?

[adriennewelch]

Great video and excellent tutorial on R. Appreciating sir. Do you have any plan to offer same kind video lecturing on Julia. Requesting you to do the same for Julia for us. Thanks for your consideration.

[MrBlpvivek]

Good content but I would have preferred a human reading out.

[anthonycalo]

Help at 16:00 it says no such file or directory. where do i get europe.csv?
Thanks

[siddhu]

meaning less, no value. Simple reading PPT. never recommended

[AlwinThomasALVIN]

hey why is this available on youtube? I enrolled to this course and if its available on youtube i don t feel the worth of money being taken. I feel they should be keeping this as an intellectual property and not share it.