TRAINING DATA SCIENCE AND BIG DATA ANALYTICS

TRAINING PENGENALAN DATA SCIENCE AND BIG DATA ANALYTICS

TRAINING PENERAPAN DATA SCIENCE AND BIG DATA ANALYTICS

DESKRIPSI

Data  science  is  a  “concept  to unify statistics, data analysis and
their  related  methods”  to “understand and analyze actual phenomena”
with  data.  It employs techniques and theories drawn from many fields
within   the  broad  areas  of  mathematics,  statistics,  information
science, and computer science from the subdomains of machine learning,
classification,   cluster   analysis,   data  mining,  databases,  and
visualization.

This  course  is  for  those  new  to  data  science and interested in
understanding why the Big Data Era has come to be. It is for those who
want  to  become conversant with the terminology and the core concepts
behind  big  data problems, applications, and systems. It is for those
who want to start thinking about how Big Data might be useful in their
business or career.

It  provides  an  introduction  to  one of the most common frameworks,
Hadoop,  that  has made big data analysis easier and more accessible —
increasing the potential for data to transform our world.

MATERI Training Data Science and Big Data Analytics

1. Introduction to Big Data Analytics
* Big Data Overview
* State of the Practice in Analytics
* The Data Scientist
* Big Data Analytics in Industry Verticals

2. Data Analytics Lifecycle
* Discovery
* Data Preparation
* Model Planning
* Model Building
* Communicating Results
* Operationalizing

3. Review of Basic Data Analytic Methods Using R
* Using R to Look at Data – Introduction to R
* Analyzing and Exploring the Data
* Statistics for Model Building and Evaluation

4. Advanced Analytics – Theory And Methods
* K Means Clustering
* Association Rules
* Linear Regression
* Logistic Regression
* Naïve Bayesian Classifier
* Decision Trees
* Time Series Analysis
* Text Analysis

5. Advanced Analytics – Technologies and Tools
* Analytics for Unstructured Data – MapReduce and Hadoop
* The Hadoop Ecosystem
+ In-database Analytics – SQL Essentials
+ Advanced SQL and MADlib for In-database Analytics

6. The Endgame or Putting it All Together
* Operationalizing an Analytics Project
* Creating the Final Deliverables
* Data Visualization Techniques
* Final Lab Exercise on Big Data Analytics

TRAINING  METHOD

Presentation

Discussion

Case Study

Evaluation

JADWAL TRAINING TAHUN 2026

03 – 04 Januari 2026 | 16 – 17 Januari 2026

06 – 07 Februari 2026 | 20 – 21 Februari 2026

05 – 06 Maret 2026 | 19 – 20 Maret 2026

03 – 04 April 2026 | 23 – 24 April 2026

07 – 08 Mei 2026 | 21 – 22 Mei 2026

05 – 06 Juni 2026 | 25 – 26 Juni 2026

09 – 10 Juli 2026 | 23 – 24 Juli 2026

06 – 07 Agustus 2026 | 20 – 21 Agustus 2026

04 – 05 September 2026 | 18 – 19 September 2026

08 – 09 Oktober 2026 | 22 – 23 Oktober 2026

06 – 07 November 2026 | 26 – 27 November 2026

04 – 05 Desember 2026 | 18 – 19 Desember 2026

Metode Training

1. Tatap Muka/offline
2. Online via zoom

Kota Penyelenggaraan jika offline :

1. Bandung
2. Jogjakarta
3. Surabaya
4. Jakarta

fasilitas yang didapatkan

1. Training Kit Eksklusif
   • Tas
   • Name Tag
   • Modul
   • Flash disk
   • Ballpoint
   • Block Note
   • Souvenir
2. Harga yang Reliable
3. Trainer Kompeten di bidangnya
4. Pelayanan Maksimal untuk peserta
5. Penjemputan dari dan ke bandara

Investasi :

Public training : Rp. 4.500.000 (minimum 3 pax)

In House Training : on Call