You can book One to one consultancy session with me on Mentoga: https://mentoga.com/muhammadaammartufail

All codes can be fond here: https://github.com/AammarTufail/r_with_aammar_2024

Complete course on R is here: https://codanics.com/courses/r-with-aammar/

Chahe aap data science, statistics, ya bioinformatics mein foot‑step rakhna chahte hain, R Programming ek must‑have skill hai! Is 11 hours 55 minutes ka RwithAammar Crash Course aapko zero se expert level tak le jayega—woh bhi Urdu/Hindi mein. Dr Aammar Tufail aapko step‑by‑step R ki syntax, data wrangling, visualization (ggplot2), aur statistical modeling sikhayenge, taake aap research projects, industry assignments, ya freelancing gigs bohat aasani se handle kar sakein.

Course Highlights
• Basic R Syntax & RStudio Tour – Variables, vectors, data frames
• Data Import/Export – CSV, Excel, SQL & web APIs
• Data Wrangling with dplyr & tidyr – Filtering, grouping, joins
• Data Visualization – ggplot2 se professional graphs
• R Markdown & Reporting – Reproducible reports for journals/thesis
• Real‑World Projects – Health, finance & social‑media datasets

Is crash course ke end par aap:
• Confidently code in R for data analysis
• Automate repetitive tasks & create stunning visualizations
• Build a portfolio worthy of recruiters & supervisors

Stay Connected
1. Subscribe karein taake aur AI/Data‑Science tutorials miss na hon.
2. Like & Share is video ko classmates, colleagues aur research groups ke saath.
3. Comment section mein apne sawal post karein—Dr Aammar aur team reply karenge!

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Hashtags (with #, space‑separated)

#RProgramming #RwithAammar #DataScience #Statistics #DataVisualization #MachineLearning #RStudio #CrashCourse #codanics #urdu #hindi #pakistan #india #science #recent #2025 #babaaammar #aammartufail
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Here is the playlist with all free crash courses:
https://www.youtube.com/playlist?list=PL9XvIvvVL50EKXNwINseqf8pCPnPrg5qh

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For more Details contact us at [email protected]


Time Stamps:
00:00:00 R with Aammar Crash Course
00:02:09 Intro to R
00:06:00 Install R and R Studio
00:17:29 R studio interface and getting started
00:26:10 Changing to black themes in R
00:29:17 R studio Shorcuts
00:39:26 Syntax of R programming
00:52:21 Learning Resources
00:57:36 GitHub copilot in R studio
01:06:56 Data Types Data Objects and Data Structures
01:55:31 Sequences and Functions in R
02:07:03 R packages and Installations
02:35:39 Builtin Datasets in R
02:48:34 Packages for Data Viz in R
03:25:00 Additional Packages in R
03:29:26 Packages for Data Reporting
03:31:14 R packages for Systematic Review and Meta-analysis
03:37:26 GWalkR for Auto Data Visualization in R
03:49:55 Read or Import Data in R with Aammar
04:32:25 Best practice to collect and Rename the Data in R
04:39:30 Data Handling in R with dplyr
05:13:46 Assignment Alert
05:14:58 csv vs. MS Excel Files
05:27:10 Missing Values in dataset using R
05:46:15 Imputing Missing values in R
06:21:18 Types of Data Distribution in R
07:03:42 Assignment Alert
07:02:03 Skewness and Kurtosis in R
07:09:14 Thirty most important commands in R
07:56:17 Interactive plots in R using plotly
08:20:40 Exploratory Data Analysis (EDA) in R
09:02:03 Pie charts in R
09:22:02 Count Plot in R
09:52:29 Size of the plots matter in R
10:00:07 All codes available here in this github
10:02:40 Waterfall charts in R
10:15:33 Bar plots in R
10:36:00 Bar to Pie charts in R with Aammar
10:38:04 Publciation ready plots in R
10:48:56 GwalkR for Publication ready plots
11:09:10 ggplot2 for plotting and integration with plotly
11:32:35 ggpubr for pub ready plots
11:54:44 R with Aammar Playlist for more lectures