Event CountDown
  • Event Date 2018/07/21  -  10:00 to 16:00
  • Event Venue Dattabot Dojo, Graha Tirtahadi GF, Jalan Senopati No.75, Selong, Kebayoran Baru
  • Contact +62 822 1150 2211
  • email contact@lingkaran.co
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Date Day Time
21, 22, 28, and 29 July 2018 Every Sat and Sun 10.00 – 16.00

In a Data-driven economy, every industry and sector now looking to data and analytics to drive competitive differentiation. With data science, companies able to explore a variety of information, from consumer behavior, production process, profit prediction and extract other valuable data for better decision making.  That’s why the demand for Data Scientist is going up steadily and referred to as “the sexiest job of the 21st century”.

If you passionate about Data Science and looking to move across into the Data Science field, you need to have a solid interest in data landscape and key skills of statistical data analysis, how to analyzing data, and using your insights to solve wider business problems.

This course is designed to prepare you to jump into data Data Science field. Our mentor will guide you to understand the foundations of Data Science, how to transform and clean raw data, create and interpret descriptive statistics, and mastering data visualizations.


First Hours:

– What data science is and why it becomes so popular
– The jobs related to data science (data scientist, data engineer, data analyst, data engineer, business analyst, machine learning engineer, etc.)
– Focus to data scientist and introduce deeper to the role
– The tools usually used and the usages

Second Hours:

– Introduction to R and RStudio (what can be done using R, how to install, the workspace, the features, the limitations)
– Set the working directory
– Simple calculations and syntaxes
– Data classes of R (matrix, vector, list, factor)
Access internal data R provides and explore it (subset, change column names, etc)

– Introduction to packages
– What data types (extensions) can be processed in R
– Import and export data (xlsx, txt, csv)
– Some data exploration and cleansing (filling NAs, rescale, etc) guided by study cases
– Conditionals, looping
– Aggregate and Merging
– Using plyr and dplyr
– Connect to database (optional, maybe just to show as an example)
First Hours:

– Simple plot
– Boxplot, bar chart
– Syntax and logics (grammar) of ggplot2
– Plot using ggplot2 (include facet)

Second Hours:

– Show statistical summary (mean, mode, median, percentiles)
– Binning
– Density plot and histogram
– Correlations
– Simple linear regression and how to interpret
– Others kind of regression (exponential, logarithmic) → GLM

– What is Shiny and what are the advantages compared to usual visualization
– Structures of Shiny (UI and Server)
– Logic and Syntax
– Create simple interactive visualization 


in collaboration with

IDR 4.200.000

(Psst.. we are happy to invite you to join our brand new program that we are excited to announce, with these beneficials!)

IDR 3.500.000


  • Certificate
  • Learning materials and tools
  • Meals in every sessions
  • Opportunities to get into our talent pool (COMING UP!)


In advancing digitization, many companies and organization are pointed data scientists to provide insights and help meet specific business needs and goals, from predict industry trends, launch new products, and react to consumer needs, and to make decision-making faster.
No prior experience or qualifications required. If you have an interest in data science and seeking to develop your skills to enter the workplace or looking to change careers, this course is suitable for you. 
– A Laptop or Mac is required

– No software is required in advance of the course (all software used in the course is free or has a demo version)

We’re sorry to inform you that every purchase that you made is non-exchangeable and non-refundable. You also can’t hand over your seat to other poeple, its because of the integrated tasks and projects that we’ve been crafting for this program. Just like if you buy a plane ticket, could you do it? 🙂
A class will get postponed if the there’re less than 5 participants per class until 2-day before the class. Technically we will inform you about this information on 1-day before the class. If the class get postponed, you can transfer your purchase to other classes or you can get your refund back at maximum 7 working days after the actual schedule of the current class.

Dattabot Dojo

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