I believe that knowledge is the ultimate treasure and it should not be confined by mere academic boundaries imposed by ancient people. With democratization of learning, it has never been this easier as it is now. A new topic needs just the willingness and attention to learn, all other resources are waiting there for anyone who knows where to look for it.
This is my nonexhaustive learning log with verifiable links  not only to show off (obvious for a mere mortal) what I have learned so far but also to remind me of how they have had profound positive impact on my life thus far.
Professional Certifications
Data Engineer Associate 
Tableau Analyst 
HackerRank SQL Advanced 
Certified ScrumMaster 
Competitive achievements

Special recognition for outstanding performance in first public Datathon Bangladesh in 2019 organized by Axiata Analytics Centre in collaboration with Robi Axiata Limited

Top 10 in ADL AI Summit PreHackathon Kaggle Competition public and private leaderboard with Team Chunoputi
Multicourse Specialization

Applied Data Science with Python  University of Michigan  Coursera  5 Courses  20 Weeks

Python Programming Track  Datacamp  4 Course, 15 Hours

R Programming Track  Datacamp  4 Course, 18 Hours

Statistics Fundamentals with R Track  Datacamp  5 Course, 20 Hours

Importing & Cleaning Data with R Track  Datacamp  4 Course, 14 Hours

Data Scientist with R Track  Datacamp  23 Course, 94 Hours  Renewed 2022 on updated syllabus
Learner Profile

Continuous learning and practice  DataCamp Profile

Continuous learning and practice  Coursera Profile
Translation Works
 Bengali translation of Data Import with R packages like readr,readxl and googlesheets4 published on official RStudio cheatsheets page (Scroll to bottom for translations list my beloved bangla is there)
SelfAssessments

Few assessments I took for benchmarking thyself in DataCamp (No shareable link  only for planning own learning route)  Scores are in percentile  Higher is better
 Understanding and Interpreting Data  99% (Mar’21)
 R Programming  96% (Dec’21)
 Statistics Fundamentals with R  89% (Dec’21)
 Importing & Cleaning Data with R  95% (Dec’21)
 Data Manipulation with R  89% (Dec’21)
 Data Visualization with R  99% (May’21)
 Data Analysis in SQL (PostgreSQL) 
74% (May’21)96% (Jul’23)  Data Management Theory  82% (Jul’23)
Miscellaneous Courses
R
Basics
 Exploratory Data Analysis  Johns Hopkins University  Coursera
 Regression Models  Johns Hopkins University  Coursera
 Getting and Cleaning Data  Johns Hopkins University  Coursera
 Statistical Inference  Johns Hopkins University  Coursera
 Reproducible Research  Johns Hopkins University  Coursera
 R Programming  Johns Hopkins University  Coursera
 The Data Scientist’s Toolbox  Johns Hopkins University  Coursera
 Introduction to the Tidyverse  Datacamp
 Correlation and Regression  Datacamp
 Exploratory Data Analysis  Datacamp
 Reporting with R Markdown  Datacamp
 Multiple and Logistic Regression  Datacamp
 Data Visualization in R  Datacamp
 Statistical Modeling in R  Datacamp
 Fundamentals of Bayesian Data Analysis in R  Datacamp
Machine Learning
 Supervised Learning in R: Classication  Datacamp
 Cluster Analysis in R  Datacamp
 Unsupervised Learning in R  Datacamp
 Machine Learning with TreeBased Models in R  Datacamp
Network Science
 Predictive Analytics using Networked Data in R  Datacamp
 Network Analysis in R  Datacamp
Python
Basics
 Introduction to Data Science in Python  University of Michigan  Coursera
 Applied Plotting, Charting & Data Representation in Python  University of Michigan  Coursera
 An Introduction to Interactive Programming in Python  Rice University  Coursera
Machine Learning
 Applied Machine Learning in Python  University of Michigan  Coursera
Text Processing
 Applied Text Mining in Python  University of Michigan  Coursera
Network Science
 Applied Social Network Analysis in Python  University of Michigan  Coursera
Big Data
 Data Science HandsOn with Open Source Tools  Cognitive Class  An IBM initiative
 Hadoop 101  Cognitive Class  An IBM initiative
 Big Data 101  Cognitive Class  An IBM initiative
 Introduction to Spark in R using sparklyr  Datacamp