Programming, Automation, Read and Write Data of every Format, Reporting, Cloud Data, Cloud Scheduling

Automate Tasks with R

Manipulate Data from Local, Web and Cloud Sources

Read and Write CSV, TXT, XLSX

Create Formatted Excel Spreadsheets

Create Dynamic Reports (Powerpoint, Word, PDF, HTML)

Parse Web and PDF Files

Parse Email Content and Attachments

Schedule Automation - Cloud or Local

Send Automated Emails

Cloud Solutions - Dropbox and S3

Github Repository Management

Linux Server and AWS EC2

Basic Programming (R, Python, SQL) is preferred but not mandatory

Some knowledge of Microsoft Office (Excel, Word, Powerpoint)

Recent version of R and Rstudio: how to install is covered

Windows OS is preferred but all code runs on Mac OS as well and the minor differences between Mac and PC will be explained

Lean how to Automate every Office and Business task with R

The learning material does not contain any analytics or data science lessons.

We will not study statistics or machine learning.

We will not write complex algorithms and solve coding puzzles.

Instead we focus on how to make your life easier, save for yourself and money for your company.

This course is the most complete automation course you will find online

After completing this course you will be able to schedule any repetitive task

read and write files dynamically from various sources (local drive, web, google sheets, dropbox, )

store results without complex SQL databases

parse emails and attachments for further manipulations

produce custom Excel, Powerpoint and Word documents

send results by email and files as attachments

export your scripts to cloud, schedule automatic runs or on demand

create a cloud dashboard to control automated tasks

Automation is a very dynamic skill and I am learning new skills every day.

This course will be updated about twice per month with new skills, packages and features.

My experience

During my banking career I had to program hundreds of automatic mailing reports to track stock market information and portfolio performance on daily basis. By automating these tasks I became very efficient with my .

Currently as a consultant I help dozens of companies to automate their recurring tasks. Often hundreds of hours of manual work per month are saved once a complex recurring task is automated.

I teach R, C# and Excel/VBA on daily basis and after 600 mentoring sessions I know precisely which tools are necessary for most of people who learn programming.

As a consultant, you can very quickly acquire new clients who desperately need to improve their business.

Why R

R has been chosen since it is one of the simplest languages to learn and is very friendly with data manipulation. After all, every office task is about manipulating and transfog data on daily basis.

R is open source and is part of a large community of developers that create and maintain packages we will explore during this course.

RStudio is probably the best IDE there is for programmers (also supports C++, Python, SQL and other languages).

Which Packages will be covered

Base R functions will be covered as much as possible however they are very limited.

Therefore we will learn a set of packages necessary for the automation tasks.

dplyr: data manipulation with very user-friendly syntax

tidyr: data clean-up, remove duplicates, NA's etc.

stringr: string and regex manipulation

lubridate: work with Date class objects

pdftools: parse content from PDF files

htmltab: parse html tables from web

gsheet: files from Google Sheets

mRpostman: connect to email box and read data from Emails

emayili: connect to email box and send emails

tableHTML: create custom format HTML tables

openxlsxl: read and write Excel files

officer: read and write Word and PowerPoint documents

flextable: create formated tables as content for officer

rdrop2: connect to dropbox as cloud source

Office Workers | Business Managers | Accountants | Financial Administators | Students and Researchers

Financial Analysts and Traders who need to Automate their Data Flows

Business Consultants who work with large amount of Data

Bners who want to learn R without starting immediately with Statistics, Algorithms and Data Science

Data Scientists and R Developers who need to Automate their tasks

Excel users who want to switch to Programming

R programmers who want to discover what else R can offer




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