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Botany Research Solutions
Pakistan
เข้าร่วมเมื่อ 1 ส.ค. 2017
Hi,
Welcome in my channel Botany Research Solution. This channel is created for the help of research's students
Welcome in my channel Botany Research Solution. This channel is created for the help of research's students
python Batch 9: How to create basic plots in python
🌟 Enroll Now for Our Exclusive Data Analysis Course! 🌟
📅 Last Date to Register: ✅
💡 Pay the Fee After Your First Demo Class!
👉 Batch 24 Commences on......).
Duration: 10-14 days
Schedule: Monday to Thursday
Fee: 350 RMB for the complete course
Mode: Online via Zoom, Instruction in English
👉 How to Register for Batch 24?
Join the Demo Class Group:
00923439280164
For additional information, feel free to reach out.
🌟 Course Highlights: 🌟
✅ Basic R Programming: Master the fundamentals from the ground up.
✅ ChatGPT for Data Analysis: Leverage ChatGPT for advanced data analysis.
✅ Hands-On Practice: Apply your knowledge to real-world scenarios, including:
Relative Abundance Analysis
Descriptive Statistics
Regression Analysis
t-Test and ANOVA
PCA (Principal Component Analysis)
Correlation Analysis
Heatmaps
Cluster Study Area Mapping
Variability Analysis
Species Diversity Analysis
Community Structure Analysis
Diversity Indices:
Alpha Diversity
Beta Diversity
Gamma Diversity: Overall diversity for different ecosystems within a region.
Species Abundance Distributions (SADs)
Species-Area Curves
Cluster Analysis
Ordination Techniques:
Principal Component Analysis (PCA)
Correspondence Analysis (CA) and Detrended Correspondence Analysis (DCA)
Canonical Correspondence Analysis (CCA)
Species Indicator Analysis
Network Analysis
🔗 Enroll Today to Secure Your Spot and Elevate Your Data Analysis Skills!
📅 Last Date to Register: ✅
💡 Pay the Fee After Your First Demo Class!
👉 Batch 24 Commences on......).
Duration: 10-14 days
Schedule: Monday to Thursday
Fee: 350 RMB for the complete course
Mode: Online via Zoom, Instruction in English
👉 How to Register for Batch 24?
Join the Demo Class Group:
00923439280164
For additional information, feel free to reach out.
🌟 Course Highlights: 🌟
✅ Basic R Programming: Master the fundamentals from the ground up.
✅ ChatGPT for Data Analysis: Leverage ChatGPT for advanced data analysis.
✅ Hands-On Practice: Apply your knowledge to real-world scenarios, including:
Relative Abundance Analysis
Descriptive Statistics
Regression Analysis
t-Test and ANOVA
PCA (Principal Component Analysis)
Correlation Analysis
Heatmaps
Cluster Study Area Mapping
Variability Analysis
Species Diversity Analysis
Community Structure Analysis
Diversity Indices:
Alpha Diversity
Beta Diversity
Gamma Diversity: Overall diversity for different ecosystems within a region.
Species Abundance Distributions (SADs)
Species-Area Curves
Cluster Analysis
Ordination Techniques:
Principal Component Analysis (PCA)
Correspondence Analysis (CA) and Detrended Correspondence Analysis (DCA)
Canonical Correspondence Analysis (CCA)
Species Indicator Analysis
Network Analysis
🔗 Enroll Today to Secure Your Spot and Elevate Your Data Analysis Skills!
มุมมอง: 22
วีดีโอ
"Batch 64: Time Series Analysis and ARIMA Modeling in R - Step-by-Step Guide"
มุมมอง 5816 ชั่วโมงที่ผ่านมา
📊 Welcome to Batch 64! In this tutorial, we’ll explore time series analysis in R and learn how to build ARIMA (AutoRegressive Integrated Moving Average) models to forecast future values. Whether you're analyzing stock prices, sales data, or weather patterns, mastering ARIMA in R is essential for accurate and robust forecasting. 🔹 What You’ll Learn: 1️⃣ Basics of Time Series Analysis: Understand...
"Python Batch 9: How to Import Excel Files in Python - Step-by-Step Tutorial"
มุมมอง 3816 ชั่วโมงที่ผ่านมา
📊 Welcome to Python Batch 9! In this tutorial, you’ll learn how to import Excel files into Python using the popular pandas library. We’ll go step by step to show you how to read .xlsx and .xls files, handle multiple sheets, and troubleshoot common issues. Whether you’re a beginner or looking for a quick refresher, this video will have you working with Excel data in Python in no time! 🔹 What You...
"Batch 62: Time Series Analysis and ARIMA Modeling in R - Step-by-Step Guide"
มุมมอง 2416 ชั่วโมงที่ผ่านมา
📊 Welcome to Batch 62 In this tutorial, we’ll explore time series analysis in R and learn how to build ARIMA (AutoRegressive Integrated Moving Average) models to forecast future values. Whether you're analyzing stock prices, sales data, or weather patterns, mastering ARIMA in R is essential for accurate and robust forecasting. 🔹 What You’ll Learn: 1️⃣ Basics of Time Series Analysis: Understandi...
Batch64: regression analysis in R, full course
มุมมอง 2018 ชั่วโมงที่ผ่านมา
🌟 Enroll Now for Our Exclusive Data Analysis Course! 🌟 📅 Last Date to Register: ✅ 💡 Pay the Fee After Your First Demo Class! 👉 Batch 24 Commences on......). Duration: 10-14 days Schedule: Monday to Thursday Fee: 350 RMB for the complete course Mode: Online via Zoom, Instruction in English 👉 How to Register for Batch 24? Join the Demo Class Group: 00923439280164 For additional information, feel ...
#python9: How to create jupter notebook file
มุมมอง 3518 ชั่วโมงที่ผ่านมา
🌟 Enroll Now for Our Exclusive Data Analysis Course! 🌟 📅 Last Date to Register: ✅ 💡 Pay the Fee After Your First Demo Class! 👉 Batch 24 Commences on......). Duration: 10-14 days Schedule: Monday to Thursday Fee: 350 RMB for the complete course Mode: Online via Zoom, Instruction in English 👉 How to Register for Batch 24? Join the Demo Class Group: 00923439280164 For additional information, feel ...
"Batch 60 & 62: Regression and ANOVA Discussion - A Comprehensive Guide"
มุมมอง 3218 ชั่วโมงที่ผ่านมา
🌟 Enroll Now for Our Exclusive Data Analysis Course! 🌟 📅 Last Date to Register: ✅ 💡 Pay the Fee After Your First Demo Class! 👉 Batch 24 Commences on......). Duration: 10-14 days Schedule: Monday to Thursday Fee: 350 RMB for the complete course Mode: Online via Zoom, Instruction in English 👉 How to Register for Batch 24? Join the Demo Class Group: 00923439280164 For additional information, feel ...
"Batch 63: ANOVA in R - A Step-by-Step Guide to All Types"
มุมมอง 2221 ชั่วโมงที่ผ่านมา
📊 Welcome to Batch 63! In this tutorial, learn how to perform Analysis of Variance (ANOVA) in R and understand its different types-One-Way, Two-Way, and Repeated Measures. ANOVA is a crucial statistical technique for comparing group means and testing hypotheses in fields like data science, research, and beyond. By the end of this video, you’ll be able to structure your data correctly, run ANOVA...
"Python Batch 8: Creating a Study Area Map in Python - Geospatial Data Visualization"
มุมมอง 3221 ชั่วโมงที่ผ่านมา
🌍 Welcome to Python Batch 8! In this tutorial, learn how to create a study area map in Python using popular geospatial libraries. We’ll walk you through importing geographic data (e.g., shapefiles or GeoJSON), plotting boundaries or regions, and customizing map elements. Whether you’re a researcher, GIS specialist, or data enthusiast, this guide will help you visualize your study area effective...
"Batch 66: Creating Basic Plots with Different Themes and Facet Wrap in R"
มุมมอง 5221 ชั่วโมงที่ผ่านมา
📊 Welcome to Batch 64! In this tutorial, we’ll explore how to create basic plots in R using ggplot2, then apply different themes for styling and use facet_wrap to split data into multiple panels. Elevate your data visualization skills by learning to produce polished, multi-panel plots with minimal effort! What You’ll Learn 1️⃣ Basic Plot Types: Scatter, bar, histogram, and box plots using ggplo...
"Batch 65: Correlation Analysis and Plot in R - A Step-by-Step Tutorial"
มุมมอง 3921 ชั่วโมงที่ผ่านมา
Video Description: 📊 Welcome to Batch 65! In this tutorial, learn how to perform correlation analysis in R and visualize your results with correlation plots. We’ll show you how to calculate a correlation matrix, interpret correlation coefficients, and customize visualizations using packages like corrplot. By the end of this video, you’ll be able to uncover relationships between variables in you...
"Python Batch 8: Time Series Analysis in Python - Step-by-Step Tutorial"
มุมมอง 4323 ชั่วโมงที่ผ่านมา
📊 Welcome to Python Batch 8! In this tutorial, learn how to perform time series analysis in Python using libraries like pandas, matplotlib, and statsmodels. Whether you're dealing with financial data, sales trends, or forecasting, mastering time series techniques is crucial for making data-driven decisions. 🔹 What You’ll Learn: 1️⃣ Time Series Basics: Loading and visualizing time series data. 2...
Batch 61: T Test and its type in R
มุมมอง 1823 ชั่วโมงที่ผ่านมา
📊 Welcome to Batch 61! In this tutorial, learn how to perform T-Tests in R and understand the different types, including One-Sample, Two-Sample (Independent), and Paired T-Test. We’ll also cover how to arrange your data properly and interpret your results. Perfect for students, researchers, and analysts who want to strengthen their statistical analysis skills in R! 🔹 What You'll Learn: 1️⃣ One-...
"Batch 66: Basic Plots in R - A Beginner’s Guide to Data Visualization"
มุมมอง 3723 ชั่วโมงที่ผ่านมา
📊 Welcome to Batch 66! In this tutorial, learn how to create basic plots in R to explore and visualize your data effectively. We’ll cover essential plot types like scatter plots, bar plots, histograms, and line plots using base R and ggplot2, giving you the foundational skills to start visualizing data right away. 🔹 What You’ll Learn: 1️⃣ Scatter Plots: Visualize relationships between two conti...
"Batch 65: How to Create Boxplots in R with Different Themes and Facet Wrap"
มุมมอง 4723 ชั่วโมงที่ผ่านมา
📊 Welcome to Batch 65! In this tutorial, learn how to create and customize boxplots in R using the ggplot2 package. We’ll show you how to apply various themes for a professional look and use facet_wrap to split your data into multiple panels. Enhance the clarity of your boxplots with these advanced visualization techniques! 🔹 What You’ll Learn: 1️⃣ Basic Boxplot Creation: The fundamentals of cr...
Batch 65: How to create density and other basic plots in R
มุมมอง 139วันที่ผ่านมา
Batch 65: How to create density and other basic plots in R
Batch 66: How to Import excel file in R
มุมมอง 44วันที่ผ่านมา
Batch 66: How to Import excel file in R
Python Batch 8: How to perform regression in python
มุมมอง 89วันที่ผ่านมา
Python Batch 8: How to perform regression in python
"Batch 63: T-Tests in R - Types and How to Prepare Your Data"
มุมมอง 63วันที่ผ่านมา
"Batch 63: T-Tests in R - Types and How to Prepare Your Data"
batch 64: Understanding ANOVA in R, Its Types, and How to Prepare Your Data"
มุมมอง 63วันที่ผ่านมา
batch 64: Understanding ANOVA in R, Its Types, and How to Prepare Your Data"
"Python Batch 10: How to Install Python and Anaconda on Windows 10/11 - Step-by-Step Guide"
มุมมอง 109วันที่ผ่านมา
"Python Batch 10: How to Install Python and Anaconda on Windows 10/11 - Step-by-Step Guide"
"Batch 62: Understanding ANOVA in R, Its Types, and How to Prepare Your Data" step by step
มุมมอง 25วันที่ผ่านมา
"Batch 62: Understanding ANOVA in R, Its Types, and How to Prepare Your Data" step by step
Batch 64: descriptive statistics in R step by step
มุมมอง 38วันที่ผ่านมา
Batch 64: descriptive statistics in R step by step
Batch 60: How o create study area map in R step by step guide
มุมมอง 47วันที่ผ่านมา
Batch 60: How o create study area map in R step by step guide
#Batch 62 : descriptive statistics in R step by step
มุมมอง 26วันที่ผ่านมา
#Batch 62 : descriptive statistics in R step by step
Batch 63: Heatmap plot , PCA Bi plot in R
มุมมอง 74วันที่ผ่านมา
Batch 63: Heatmap plot , PCA Bi plot in R
Batch 62: Heatmap plot and PCA Biplot in R
มุมมอง 57วันที่ผ่านมา
Batch 62: Heatmap plot and PCA Biplot in R
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Great
I really appreciate your comment! It means a lot to me!
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Great analysis, thank you! I need some advice: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). What's the best way to send them to Binance?
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❤
Appreciate the detailed breakdown! A bit off-topic, but I wanted to ask: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). Could you explain how to move them to Binance?
00923439280164
sir is file ka link mil sakta ha
Thanks
Good
Thanks sir for uploading the first lectures
Thanks 🙏
Sir bahut video h
What is the title of your course??
🌟 Batch 61 Comprehensive Statistical Data Analysis Visualization in R and AI(15 days training course ) 🌟 🎓 Class Start Date: 11 Nov/2024 🎯 Level: Basic to Advanced 📅 Schedule Friday-Sunday 🕗 Time: 9-10pm China 🖥️ Mode: Online via Zoom 💰 Fee: 50USD or 350RMB 💼 Total Seats: 20 ✅ Seats Filled: 14 🟢 Remaining Seats: 6 🔗 Join the WhatsApp group for updates and demo class link: Click here chat.whatsapp.com/B5a12lB3JOUAtZ8j6PUV9P Course Content Overview: 💡 This comprehensive course covers over 100 types of analyses, starting from the basics of R programming to advanced statistical and machine learning techniques. Here's a glimpse of what you'll learn: Day 1: Introduction to R and RStudio Day 2: Exploratory Data Analysis (EDA) * Descriptive statistics * Visualization of distributions * EDA using dplyr and ggplot2 Day 5: Basic Data Visualization with ggplot2 * Grammar of graphics * Creating basic plots: histograms, bar charts, scatter plots * Customizing plots: themes, colors, labels * Faceting for multi-panel plots Day 6: Advanced Data Visualization Techniques * Complex plots: violin plots, heatmaps, bubble plots * Interactive visualizations with plotly * Time series visualization * Maps & geospatial data visualization with ggmap and sf Day 7: Introduction to Statistical Analysis * Basic statistical concepts * Hypothesis testing: t-tests, chi-squared tests * Correlation & covariance * Introduction to probability distributions Day 8: Regression Analysis * Simple & multiple linear regression * Logistic & polynomial regression * Diagnostic plots for regression * SEM analysis and visualization Day 9: Analysis of Variance (ANOVA) * One-way, Two-way, and Repeated Measures ANOVA * MANOVA (Multivariate Analysis of Variance) * Post-hoc tests: Tukey HSD, Bonferroni Day 10: Non-Parametric Tests * Wilcoxon signed-rank test * Kruskal-Wallis test * Spearman's rank correlation * Mann-Whitney U test Day 11: Multivariate Analysis * Principal Component Analysis (PCA) * Factor & Cluster Analysis * Discriminant Analysis * Multidimensional Scaling (MDS) Day 12: Time Series Analysis * Decomposition & smoothing techniques * ARIMA modeling * Seasonal decomposition (STL) Day 13: Introduction to Machine Learning in R * Supervised vs. unsupervised learning * Decision Trees, Random Forest, SVM * Lasso, Ridge, and Elastic Net regression * K-means and DBSCAN clustering Day 14: Specialized Visualization Techniques * Network analysis & visualization * Chord diagrams with circlize * Visualizing survey data Get ready to master the art of statistical analysis and data visualization in R, enhanced with AI techniques! 📊🧠
Very wonderful video tutorial 🎉
Thank you so much 😊
❤❤❤
Sir how can i reach you, i need your help
03439280164
Sir how to purchase your course.
00923439280164
How to purchase your batch
🌟 Batch 61 Comprehensive Statistical Data Analysis Visualization in R and AI(15 days training course ) 🌟 🎓 Class Start Date: 11 Nov/2024 🎯 Level: Basic to Advanced 📅 Schedule Friday-Sunday 🕗 Time: 9-10pm China 🖥️ Mode: Online via Zoom 💰 Fee: 50USD or 350RMB 💼 Total Seats: 20 ✅ Seats Filled: 14 🟢 Remaining Seats: 6 🔗 Join the WhatsApp group for updates and demo class link: Click here chat.whatsapp.com/B5a12lB3JOUAtZ8j6PUV9P Course Content Overview: 💡 This comprehensive course covers over 100 types of analyses, starting from the basics of R programming to advanced statistical and machine learning techniques. Here's a glimpse of what you'll learn: Day 1: Introduction to R and RStudio Day 2: Exploratory Data Analysis (EDA) * Descriptive statistics * Visualization of distributions * EDA using dplyr and ggplot2 Day 5: Basic Data Visualization with ggplot2 * Grammar of graphics * Creating basic plots: histograms, bar charts, scatter plots * Customizing plots: themes, colors, labels * Faceting for multi-panel plots Day 6: Advanced Data Visualization Techniques * Complex plots: violin plots, heatmaps, bubble plots * Interactive visualizations with plotly * Time series visualization * Maps & geospatial data visualization with ggmap and sf Day 7: Introduction to Statistical Analysis * Basic statistical concepts * Hypothesis testing: t-tests, chi-squared tests * Correlation & covariance * Introduction to probability distributions Day 8: Regression Analysis * Simple & multiple linear regression * Logistic & polynomial regression * Diagnostic plots for regression * SEM analysis and visualization Day 9: Analysis of Variance (ANOVA) * One-way, Two-way, and Repeated Measures ANOVA * MANOVA (Multivariate Analysis of Variance) * Post-hoc tests: Tukey HSD, Bonferroni Day 10: Non-Parametric Tests * Wilcoxon signed-rank test * Kruskal-Wallis test * Spearman's rank correlation * Mann-Whitney U test Day 11: Multivariate Analysis * Principal Component Analysis (PCA) * Factor & Cluster Analysis * Discriminant Analysis * Multidimensional Scaling (MDS) Day 12: Time Series Analysis * Decomposition & smoothing techniques * ARIMA modeling * Seasonal decomposition (STL) Day 13: Introduction to Machine Learning in R * Supervised vs. unsupervised learning * Decision Trees, Random Forest, SVM * Lasso, Ridge, and Elastic Net regression * K-means and DBSCAN clustering Day 14: Specialized Visualization Techniques * Network analysis & visualization * Chord diagrams with circlize * Visualizing survey data Get ready to master the art of statistical analysis and data visualization in R, enhanced with AI techniques! 📊🧠
Thnx 51:36 😊
Sir here you said that u will guide how to make code for different traits. But I am unable to find that video. Kindly send the link of the video. Thanking YOu
Sir plz add script of the graphs also in description. It will be very useful for us
Ok
Thank you sir. ❤❤❤❤
🤩🤩🤩🤩🤩🤩🤩🤩
great
Sir, Can you please share the jupyter notebook file in my email? Thanks.
Why python? R language
🌟 Batch 61 Comprehensive Statistical Data Analysis Visualization in R and AI(15 days training course ) 🌟 🎓 Class Start Date: 11 Nov/2024 🎯 Level: Basic to Advanced 📅 Schedule Friday-Sunday 🕗 Time: 9-10pm China 🖥️ Mode: Online via Zoom 💰 Fee: 50USD or 350RMB 💼 Total Seats: 20 ✅ Seats Filled: 14 🟢 Remaining Seats: 6 🔗 Join the WhatsApp group for updates and demo class link: Click here chat.whatsapp.com/B5a12lB3JOUAtZ8j6PUV9P Course Content Overview: 💡 This comprehensive course covers over 100 types of analyses, starting from the basics of R programming to advanced statistical and machine learning techniques. Here's a glimpse of what you'll learn: Day 1: Introduction to R and RStudio Day 2: Exploratory Data Analysis (EDA) * Descriptive statistics * Visualization of distributions * EDA using dplyr and ggplot2 Day 5: Basic Data Visualization with ggplot2 * Grammar of graphics * Creating basic plots: histograms, bar charts, scatter plots * Customizing plots: themes, colors, labels * Faceting for multi-panel plots Day 6: Advanced Data Visualization Techniques * Complex plots: violin plots, heatmaps, bubble plots * Interactive visualizations with plotly * Time series visualization * Maps & geospatial data visualization with ggmap and sf Day 7: Introduction to Statistical Analysis * Basic statistical concepts * Hypothesis testing: t-tests, chi-squared tests * Correlation & covariance * Introduction to probability distributions Day 8: Regression Analysis * Simple & multiple linear regression * Logistic & polynomial regression * Diagnostic plots for regression * SEM analysis and visualization Day 9: Analysis of Variance (ANOVA) * One-way, Two-way, and Repeated Measures ANOVA * MANOVA (Multivariate Analysis of Variance) * Post-hoc tests: Tukey HSD, Bonferroni Day 10: Non-Parametric Tests * Wilcoxon signed-rank test * Kruskal-Wallis test * Spearman's rank correlation * Mann-Whitney U test Day 11: Multivariate Analysis * Principal Component Analysis (PCA) * Factor & Cluster Analysis * Discriminant Analysis * Multidimensional Scaling (MDS) Day 12: Time Series Analysis * Decomposition & smoothing techniques * ARIMA modeling * Seasonal decomposition (STL) Day 13: Introduction to Machine Learning in R * Supervised vs. unsupervised learning * Decision Trees, Random Forest, SVM * Lasso, Ridge, and Elastic Net regression * K-means and DBSCAN clustering Day 14: Specialized Visualization Techniques * Network analysis & visualization * Chord diagrams with circlize * Visualizing survey data Get ready to master the art of statistical analysis and data visualization in R, enhanced with AI techniques! 📊🧠
Sir, could you demonstrate the preparation of a correlation matrix and a correlation network plot at 0.20 seconds on your instructional video.
Sir, your channel is very good and giving a lot of information to data scientist. Please share the Excel_file data for the practice in the description box. Sir it will be might be helpful for data scientist of IT technology as well for data analysis
Ok
❤❤❤
Great
Can you make please make circular dendrograms with colors ?
Yes
Good morning Sir, could you conduct a class on cubist Model in r studio.
Allah gives you a reward for this. I hope sir you will upload daily videos
sir mentioned your genomic course batch too. it will be very fruitful for us.
great
great
Please write lecture number on each video
Good evening Sir, from where I can download complete India ShF zip files.
Humanitarian
Sir, I would like to prepare study area map including India map followed by Assam state and then last Jorhat districts, will there be any changes in the r code. Do I need to change ncol= 3
❤❤❤ MashALLAH very helpful but voice is not clear and loud..
How can I contact you sir?
🌟 Batch 61 Comprehensive Statistical Data Analysis Visualization in R and AI(15 days training course ) 🌟 🎓 Class Start Date: 11 Nov/2024 🎯 Level: Basic to Advanced 📅 Schedule Friday-Sunday 🕗 Time: 9-10pm China 🖥️ Mode: Online via Zoom 💰 Fee: 50USD or 350RMB 💼 Total Seats: 20 ✅ Seats Filled: 14 🟢 Remaining Seats: 6 🔗 Join the WhatsApp group for updates and demo class link: Click here chat.whatsapp.com/B5a12lB3JOUAtZ8j6PUV9P Course Content Overview: 💡 This comprehensive course covers over 100 types of analyses, starting from the basics of R programming to advanced statistical and machine learning techniques. Here's a glimpse of what you'll learn: Day 1: Introduction to R and RStudio Day 2: Exploratory Data Analysis (EDA) * Descriptive statistics * Visualization of distributions * EDA using dplyr and ggplot2 Day 5: Basic Data Visualization with ggplot2 * Grammar of graphics * Creating basic plots: histograms, bar charts, scatter plots * Customizing plots: themes, colors, labels * Faceting for multi-panel plots Day 6: Advanced Data Visualization Techniques * Complex plots: violin plots, heatmaps, bubble plots * Interactive visualizations with plotly * Time series visualization * Maps & geospatial data visualization with ggmap and sf Day 7: Introduction to Statistical Analysis * Basic statistical concepts * Hypothesis testing: t-tests, chi-squared tests * Correlation & covariance * Introduction to probability distributions Day 8: Regression Analysis * Simple & multiple linear regression * Logistic & polynomial regression * Diagnostic plots for regression * SEM analysis and visualization Day 9: Analysis of Variance (ANOVA) * One-way, Two-way, and Repeated Measures ANOVA * MANOVA (Multivariate Analysis of Variance) * Post-hoc tests: Tukey HSD, Bonferroni Day 10: Non-Parametric Tests * Wilcoxon signed-rank test * Kruskal-Wallis test * Spearman's rank correlation * Mann-Whitney U test Day 11: Multivariate Analysis * Principal Component Analysis (PCA) * Factor & Cluster Analysis * Discriminant Analysis * Multidimensional Scaling (MDS) Day 12: Time Series Analysis * Decomposition & smoothing techniques * ARIMA modeling * Seasonal decomposition (STL) Day 13: Introduction to Machine Learning in R * Supervised vs. unsupervised learning * Decision Trees, Random Forest, SVM * Lasso, Ridge, and Elastic Net regression * K-means and DBSCAN clustering Day 14: Specialized Visualization Techniques * Network analysis & visualization * Chord diagrams with circlize * Visualizing survey data Get ready to master the art of statistical analysis and data visualization in R, enhanced with AI techniques! 📊🧠
MashAllah BarakAllah Shah sb You are a best an ideal teacher of R
good
assalam o alaikum . sir it is requested to share the data set and codes aswell.
03439280164
How i can join your course
03439280164
Outstanding 😊 class