R for Analytics – Advanced

Track: Associate Enterprise Data Analyst (AEDA)

In R for Analytics—Advanced, students will practice wrangling text, date and numerical data and reporting these results. Students will become competent at a suite of tools in R and other popular R packages to accelerate and augment their data analysis workflow.

Duration: 3 days
Fee: Request
Start Date: Request

Flexible And Powerful Tool For Statisticians And Data Miners

R for Analytics—Advanced introduces tools from the tidyverse and other packages to prepare numerical date and text data for analysis, import JSON files and report results from their data analysis in R Markdown and Shiny. In R for Analytics—Advanced, students will practice wrangling text, date and numerical data and reporting these results. Students will become competent at a suite of tools in R and other popular R packages to accelerate and augment their data analysis workflow.

Learning outcome:

Upon completion, participants should be able to demonstrate each of the following;

Ability to load, clean, prepare and manipulate data
Learn how to connect to relational database using R
Design and solve advanced data-driven problems

Who should attend:

Analysts and business professionals who want to jumpstart their abilities in analysing data

3 days of in depth learning

Face to face with experienced Data Scientist.

Course Methodology

This course will utilize a combination of Lecture and Labs.

CADS Certification

Earn certification upon completion.

Pre-requisite:
R for Analytics—Basics

Minimum Qualification:
Undergraduate Degree

Training Track

Associate Enterprise Data Analyst (AEDA)

R for Analytics – Advanced is one of the modules under our Associate Enterprise Data Analyst (AEDA) programme. AEDA is a 15-day training program that provides analysts with the tools required for efficient Data Analysis.

Details of Subject

Day 1 & 2

Advanced Data Preparation (11.0 hrs) – Participants will become familiar with tools for data preparation from the tidyverse set of packages, including tools for importing data, data wrangling, data tidying, string manipulation and date/time operations. Participants will be able to use a wider array of functions to prepare data into a format amenable to data analysis in R.
Reporting in R Markdown (3.0 hrs) – Participants will be introduced to the R Markdown document format, the backbone for an ecosystem for document authoring, which allows for the creation of reproducible data analysis reports in PDF, HTML and Word formats, as well as (time permitting) HTML5 slides. Participants will be acquainted with a time-saving data analysis workflow that allows analysts to easily create reproducible and convenient data analysis reports in formats that stakeholders are familiar with.

Day 3

SQL with R / RSQLite (2.0 hrs) – Participants will learn to set up SQL connections, queries, and write data frames to tables from R. Participants will be able to interact with large datasets stored in SQL databases directly in R, allowing for quicker data analysis while using less resources relative to reading data all at once.
R Shiny (5.0 hrs) – Participants will learn to work with the components of R Shiny, a package for creating web applications in R. Participants will be able to create and publish interactive dashboards to present data for stakeholders.

Lead Instructor

Narjes Khatoon Naseri

Narjes is a data scientist and a software engineer with more than 5 years of experience in data analysis and building predictive models. Her expertise covers exploratory data analysis, statistical modeling, machine learning and heuristic search algorithms. Narjes is also a professional trainer and content developer in Data Science domain. She specializes in conducting a complete lifecycle of Natural Processing Language (NLP) on social media and customer service systems for predicting society behavior, feedback classification and summarization. Narjes is also an expert in applying mathematical and artificial intelligence approaches to optimize planning and timetabling systems.

CADS Certification

AEDA CADS Certified R for Analytics

As one of the world’s top data science tools, R provides a robust environment for tabulating, analysing and visualising data. Demonstrate your mastery of the programming language that has become a powerhouse for business intelligence and big data analytics. This certification entails familiarity with different data types and their operation, connecting relational databases through R and results reporting in Markdown and Shiny.

Hear from Our Alumni

The training has benefited me a lot with the skills required to be a data analyst and has upskilled me in data analysis. What I like about the program is where real life problems in the office is used as the materials during the trainings which provides more understanding of the topics. Eventually, it has broaden up my market in the career development.

The program started by setting an expectation on Day 1, that it is not a Read-And-Pass syllabus. The beauty of this program is that it requires the trainees to get their hands dirty and do the actual work throughout the course. It is indeed very different from a lot of programs in the market which just produces a certificate in the end without the trainee actually able to do some real stuff. The course is definitely benefiting anyone who really want to do Machine Learning and Data Science, by creating talents who are able to connect human thought with the machine algorithm, being the bridge within the corporate, into the digital worlds.

The training was beneficial as it trains myself to think from another perspective - one that may not be new, but wasn't practiced as often as I'd like. It was fun and interactive thanks to the facilitator, Jay, too. He was very helpful to answer any questions the attendees have. Believe that this training gives the attendees an extra edge by giving them the knowledge and perspective on how to better utilize data to what they want/need to do - for the organization, the business, and even for personal use, of which I believe will bring myself further in my career.

The training has been an eye opener for me. As someone who is not of programming background, it introduces me to the possibilities of what data can do. It has also helped me bridge the difference in thinking between the Business Team and the Data Science Team. Had a great time learning!

This training enhance on my skill of analyzing of using another tools of programming instead of excel and how to model and visualized our data in a better way instead of our traditional way. Especially when involve with a large scale of data. If using excel, there will a lot of time consuming there instead of R. For me, in market nowadays of big data, this course will brings more value and create another point of view on how to visualize our data especially in making any decision. And of course will enhance our career development.

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R for Analytics – Advanced

R for Analytics – Advanced

Flexible And Powerful Tool For Statisticians And Data Miners

Learning outcome: