CERTIFIED IN DATA SCIENCE

February 26, 2024 No Comments » Information Technology adminweb

CERTIFIED IN DATA SCIENCE

by American Academy Of Project Management (AAPM)

Available

Training Online | Training Offline | Sertifikasi Online | Sertifikasi Offline

Jadwal Training

*Jadwal assessment menyesuaikan kesepakatan

DESCRIPTION CERTIFIED IN DATA SCIENCE

The term data science was coined at the beginning of the 21st century, and it is a fairly young field of science and technology. Over the past few decades, data science has increasingly become popular all over the world. It has become the part and parcel of every business model. All forms of data run the world, be it personal data, website data, or behavioural data. With more and more number of Internet of Things being invented, we have shifted our focus to concepts like big data and data mining.

Companies have started to capitalize on big data, which controls the way people think and act. Data science has created a widespread impact across various sectors. In areas like healthcare, education, security, sports, energy, and science, the application of data science has created a lot of opportunities for innovation and improvement. Scientific studies rely on data sets to measure and anlalyze scientific goals, for example, healthcare recommendations, identifying and predicting diseases, personalized healthcare support via AI and machine learning, etc.

This course takes participants through all the important modules that you need to know about, including machine learning and programming languages. It also teaches important concepts such as data acquisition, data mining, data processing, and data analysis.

This course is designed keeping in mind the current industry trends and skills required to become a successful data scientist. When you enroll for this course, you will receive one-to-one support from our instructors and practical-based learning experience.

By successfully completing the course and exam, participants will have met standards appraisal education requirements in the content area identified as basic appraisal principles.

The AAPM® certification process, administered by GAFM Board, identifies to the public that those individuals who have been authorized to use the AAPM® certification marks in the globe have met rigorous professional standards and have agreed to adhere to the principles of integrity, objectivity, competence, fairness, confidentiality, professionalism and diligence when dealing with clients.

The course is enriched with actual appraisal case studies which are aimed toward the enhancement of participants knowledge and the appraisal processes insights, and capability to cope with professional certification.

OBJECTIVES CERTIFIED IN DATA SCIENCE

Besides data science skills, this course enables professionals to develop analytical and leadership skills. Additional skills that you will gain from this course are :

Learn new programming languages
Learn to use frameworks based on tools like Hadoop and Apache Spark
Learn about NLP and neural networks
Gain hands-on experience on AI and machine learning tools
Know all about python and various forms of tools used in programming language, such Python Numpy and Pandas.
Learn how to use statistical models
Know about exploratory data analysis and learn to measure and analyze data sets using visual patterns.
Obtain one-to-one experience from instructors on supervised machine learning algorithms
Develop leadership skills and understand how to make business decisions
Understand data analytics and metrics important for any business
Improve communication ability and become more confident
Critical thinking and decision-making skills

TARGET AUDIENCE

Professional Information Technology Specialist.

CONTENTS

Module 1: Python

Python is the most important and necessary topic that every data scientist should have knowledge about. In this section, our instructors will take you through the basics of Python and areas where it can be used. You will learn how to use some of the current tools such as Numpy, Pandas, and Matplotlib. Therefore, modeule 1 includes :

Environment set-up
Jupyter overview
Python Numpy
Python Pandas
Python Matplotlib

Module 2: R

Used for statistical and data analysis, R programming language is one of the advanced statistical languages used in data science. This module teaches you how to explore data sets using R. Here you will learn :

An introduction to R
Data structures in R
Data visualization with R
Data analysis with R

Module 3: Statistics

When working with data, the knowledge of statistics is necessary and an imprtant skill set that you must have. In this module, you will learn :

1. Important statistical concepts used in data science

2. Difference between population and sample

3. Types of variables

4. Measures of central tendency

5. Measures of variability

6. Coefficient of variance

7. Skewness and Kurtosis

Module 4: Inferential statistics

Inferential statistics is used to make generalizations of populations, from which samples are drawn. This is a new branch of statistics, which helps you learn to analyze representative samples of large data sets. In this module, you will learn :

Normal distribution
Test hypotheses
Central limit theorem
Confidence interval
T-test
Type I and II errors
Student’s T distribution

Module 5: Regression and Anova

This lesson will help you understand how to establish a relationship between two or more objects. ANOVA or analysis of variance is used to analyze the differences among sample sets. Here you will learn :

Regression
ANOVA
R square
Correlation and causation

Module 6: Exploratory data analysis

In this lesson you will learn :

Data visualization
Missing value analysis
The correction matrix
Outlier detection analysis

Module 7: Supervised machine learning

This is a comprehensive module to help you understand how to make machines or computers interpret human language. You will learn :

Python Scikit tool
Neural networks
Support vector machine
Logistic and linear regression
Decision tee classified

Module 8: Tableau

Tableau is a sophisticated business intelligence tool used for data visualization. In this lesson, you will learn :

Working with Tableau
Deep diving with data and connection
Creating charts
Mapping data in Tableau
Dashboards and storie

Module 9: Machine learning on cloud

In this lesson, you will learn :

ML on cloud platform
ML on AWS
ML on Microsoft Azure

METODE TRAINING

Metode pelatihan dapat dilakukan dengan dua metode dimana Peserta dapat memilih metode yang sesuai. Metode tersebut adalah :

Metode Offline Training(Classroom) yaitu:
Instruktur mengajar secara tatap muka dengan durasi 8 jam perhari selama 2 hari secara terjadwal.
Teknik yang digunakan : presentasi, diskusi, tanya jawab, studi kasus, brainstorming.
Metode Live Online Training(Sinkron) yaitu :
Instruktur mengajar secara LIVE dengan durasi 4 jam perhari selama 2 hari secara terjadwal.
Media Live training dapat menggunakan Google Meet, atau Zoom.
Ketentuan Online Training :

Persiapan Peserta

Dianjurkan menggunakan laptop, bukan smartphone.
Koneksi internet yang stabil.
Buku dan alat tulis.
Peserta menginstall aplikasi sesuai yang akan digunakan, sebelum jadwal training berlangsung. Untuk yang mempunyai kesulitan, bisa menghubungi staff kami sebelum jadwal training berlangsung.

Platform yang digunakan

Beberapa alternative platform Zoom, atau Google Meet untuk conference live training.
Google Classroom untuk memuat materi, tugas dan dokumen lain yang dapat diakses peserta dengan link dan kode kelas yang akan diberikan oleh penyelenggara sebelum pelaksanaan training.

Cara masuk ke video conference

Penyelenggara akan memberikan undangan berupa link.
Klik linktersebut, ikuti arahan selanjutnya.
Anda akan dibawa masuk ke dalam video conference.

METODE UJIAN

Ujian dilaksanakan di hari ketiga atau sesuai kesepakatan.
Ujian dilaksanakan secara Online menggunakan aplikasi Zoom/Google Meet.
Peserta diminta mengerjakan 50 soal Multiple Choice, dengan durasi selama 2 jam.

INSTRUKTUR

Ifan Prihandi, S.Kom., M.Kom., OCI., CASF™.

Andika Bayu Saputra, S.Kom., M.Kom

And team.

CERTIFIED IN DATA SCIENCE

INVESTASI DAN FASILITAS

Metode Pelaksanaan

Harga & Fasilitas

Opsi 1 –

Pelatihan Online

Training Online Rp 3.900.000 per peserta.

Minimal kuota 1 peserta dan bisa request tanggal.

Pelaksanaan training selama 2 hari half day (08.00 – 12.00 WIB atau 13.00 – 17.00 WIB).

Menggunakan aplikasi Zoom/Google Meet

Sudah Termasuk : Sertifikat Training Softfile & Hardfile, Pengiriman Sertifikat ke Alamat Peserta, Softfile Materi.

Belum termasuk : PPN 11%.

Tersedia paket harga khusus jika ada beberapa orang mendaftar untuk training yang sama dan dari perusahaan yang sama.

Opsi 2 –

Pelatihan Offline di Yogyakarta

Training Offline Rp 6.900.000 per peserta

Minimal kuota 1 peserta dan bisa request tanggal

Pelaksanaan training selama 2 hari full day (08.00 – 16.00 WIB)

Tempat pelaksanaan :

ü Hotel El Royale, Yogyakarta ATAU

ü Hotel Malyabhara, Yogyakarta

Sudah termasuk : Meeting Room, Modul Training, Sertifikat Training, Training Kits, Lunch, Coffee Break, dan Souvenir.

Belum termasuk : Penginapan & Transportasi Peserta Pelatihan, dan PPN 11%.

Tersedia paket harga khusus jika ada beberapa orang mendaftar untuk training yang sama dan dari perusahaan yang sama.

Opsi 3 –

Pelatihan Offline di Solo, atau Semarang

Training Offline Rp 6.900.000 per peserta.

Minimal kuota 2 peserta dan bisa request tanggal.

Pelaksanaan training selama 2 hari full day (08.00 – 16.00 WIB).

Pilihan Tempat pelaksanaan :

ü Hotel Ibis, Solo

ü Hotel Ibis Simpang Lima, Semarang

ü Dll.

Sudah termasuk : Meeting Room, Modul Training, Sertifikat Training, Training Kits, Lunch, Coffee Break, dan Souvenir.

Belum termasuk : Penginapan & Transportasi Peserta Pelatihan, dan PPN 11%.

Tersedia paket harga khusus jika ada beberapa orang mendaftar untuk training yang sama dan dari perusahaan yang sama.

Opsi 4 –

Pelatihan Offline di Jakarta, Bandung atau Surabaya

Training Offline Rp 7.900.000 per peserta.

Minimal kuota 2 peserta dan bisa request tanggal.

Pelaksanaan training selama 2 hari full day (08.00 – 16.00 WIB).

Pilihan Tempat pelaksanaan :

ü Hotel Asyana Kemayoran, Jakarta

ü Hotel Amaris Kemang, Jakarta

ü Hotel Kimaya Braga, Bandung

ü Hotel Midtown, Surabaya

ü Dll.

Sudah termasuk : Meeting Room, Modul Training, Sertifikat Training, Training Kits, Lunch, Coffee Break, dan Souvenir.

Belum termasuk : Penginapan & Transportasi Peserta Pelatihan, dan PPN 11%.

Tersedia paket harga khusus jika ada beberapa orang mendaftar untuk training yang sama dan dari perusahaan yang sama.

Opsi 5 –

Pelatihan Offline Luar Pulau Jawa (Lombok, Bali, Balikpapan, dll)

Training Offline Rp 8.900.000 per peserta.

Minimal kuota 3 peserta dan bisa request tanggal.

Pelaksanaan training selama 2 hari full day (08.00 – 16.00 WIB).

Pilihan Tempat pelaksanaan :

ü Hotel Ibis Kuta, Bali

ü Hotel Beverly, Batam

ü Hotel Fave, Balikpapan

ü Hotel Aston, Manado

ü Hotel Lombok Raya, Mataram

ü Dll.

Sudah termasuk : Meeting Room, Modul Training, Sertifikat Training, Training Kits, Lunch, Coffee Break, dan Souvenir.

Belum termasuk : Penginapan & Transportasi Peserta Pelatihan, dan PPN 11%.

Tersedia paket harga khusus jika ada beberapa orang mendaftar untuk training yang sama dan dari perusahaan yang sama.

Exam

Biaya Exam US$ 500 per peserta.

Minimal kuota 1 peserta dan bisa request tanggal.

Pelaksanaan assessment selama 2 hari.

Menggunakan aplikasi Zoom/Google Meet.

Sertifikat dari AAPM akan dikirimkan kepada peserta yang dinyatakan Lulus, dalam jangka waktu 1-2 bulan setelah exam.

Peserta yang lulus akan mendapatkan Gelar Non Akademik CAMP.

Belum termasuk :

o PPN 11%.

Tersedia paket harga khusus jika ada beberapa orang mendaftar untuk training yang sama dan dari perusahaan yang sama.

CERTIFIED IN DATA SCIENCE

In House Training lainnya yang beritanya dapat dilihat di link berikut => In House Training.

Untuk judul dan informasi online training, kunjungi juga website PT Expertindo lainnya di alamat www.e-trainingonline.com

Previous Post Next

CERTIFIED IN DATA SCIENCE

CERTIFIED IN DATA SCIENCE

METODE UJIAN

Leave a reply Cancel reply

Leave a reply
Cancel reply