Power-Query M language Programming - Part 1
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Brief Introduction
Powerquery M code, Powerquery M functions, How to use M codeDescription
This course is an attempt to make you awesome in using M code in PowerQuery
It is for those students who are familiar with PowerQuery front part .
What is M code in PowerQuery
How to use M code or functions in PowerQuery
How to change or modify M code in PowerQuery
What are Table functions and their basics plus real use in life
What are the list objects - from basic to advance use
What the records - From basics to advance
Several mixed projects for your revision at the end plus more knowledge on M functions
This course will make you fundamentally awesome in PowerQuery M code and you can go beyond normal user capabilities to change and modify the data. the way you want.
Files are downloadable and Online help is available from me, in case you have doubts.
Requirements
- Requirements
- You should be knowing Powerquery basics . You should know how to work with powerquery features available in its Ribbon.
Complete Machine Learning with R Studio - ML for 2021
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio You've found the right Machine Learning course!...
Decision Trees, Random Forests, Bagging & XGBoost: R Studio
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming You've found the right Decision Trees and tree based advanced techniques course!...
Oracle PL/SQL Certification Training
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Learn PL/SQL architecture, programming, fine-tuning in depth from basics to advanced level. Become Oracle Developer/DBA. Key features of PL/SQL are: Ask your average Java or ....
Graph Analytics for Big Data
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph?...
