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Data Science & AI Mastery

Pilih Paket Belajar Terbaik Untukmu

ICON PROGRAM

FOUNDATION

  • SQL Course
  • Python Programming
  • Statistics Essentials
  • Data VIsualizations
  • Machine Learning 1
  • Machine Learning 2
  • Final Project
Curriculum
ICON PROGRAM

ADVANCED

  • ALL FOUNDATION

  • Deep Learning 1

  • Deep Learning 2

  • NLP or CV

  • Final Project

Curriculum
ICON PROGRAM

MASTERY

  • ALL ADVANCED
  • Natural Language
    Processing
  • Computer Vision
  • Cloud (AWS) & API
  • Generative AI 1
  • Generative AI 2
  • Final Project
Curriculum
Konsultasi Sekarang

Mana Yang Terbaik Untukmu?

Bandingkan Program Sekarang!

Tentang Program

Kuasai Esensi Machine Learning dalam 12 Pekan!

Data Science Foundation Class adalah program belajar milik Scientify yang menawarkan perjalanan belajar efektif dan efisien untuk mendalami dan memahami dasar-dasar dan implementasi dari berbagi jenis algotima Machine Learning. Kamu akan mempelajari best practice industri dalam menggunakan berbagai metode dan algoritma machine learning. Program ini terbuka untuk siapapun dengan background apapun. Dengan dukungan dan bimbingan dari tutor yang merupakan data science expert di taraf internasional, kamu dapat belajar dari sumber terbaik dan mendaatkan hasil terbaik

Kurikulum

Week 1

Day 1-2
Welcome session & Set up device

Day 3-5
Database & Data Analysis with SQL

Live Session: Overview of SQL, practical exercises, and Q&A
Assignments: SQL queries, database design, LinkedIn post

Week 2

Day 1-5
Python Programming Essentials

Live Session: Python basics, coding exercises, and Q&A
Assignments: Python scripts, basic projects, LinkedIn post

Week 3

Day 1-2
Statistics Essentials

Day 3-5
Python for Data Science

Live Session: Statistical concepts, Python for data analysis, and Q&A
Assignments: Statistical analysis, Python data manipulation, LinkedIn post

Week 4

Day 1-3
Data Visualization with Python

Day 4-5
Data Visualization with Tableau

Live Session: Creating visualizations, best practices, and Q&A
Assignments: Python visualizations, Tableau dashboards, LinkedIn post

Week 5

Day 1-5
Machine Learning 1: Regression

Live Session: Linear regression, model evaluation, and Q&A
Assignments: Regression models, project work, LinkedIn post

Week 6

Day 1-5
Machine Learning 1: Classification

Live Session: Classification techniques, model performance, and Q&A
Assignments: Classification models, project work, LinkedIn post

Week 7

Day 1-5
Machine Learning 2: Clustering

Live Session: Clustering algorithms, practical implementation, and Q&A
Assignments: Clustering projects, analysis, LinkedIn post

Week 8

Day 1-5
Machine Learning 2: PCA

Live Session: Principal Component Analysis, dimensionality reduction, and Q&A
Assignments: PCA applications, projects, LinkedIn post

swipe left <<<

Technology

  • SQL
  • Python
  • Pandas (Python library for data manipulation)
  • Numpy (Python library for numerical operations)
  • Matplotlib (Python library for data visualization)
  • Seaborn (Python library for data visualization)
  • Tableau
  • Scikit-learn (Python library for machine learning)

Tentang Program

Belajar Data Science dan AI dari Nol hingga Expert!

Data Science & AI Advanced Class adalah program belajar milik Scientify yang menawarkan perjalanan belajar komprehensif untuk menguasai berbagai kemampuan dalam bidang Data Science dan AI. Program ini tersedia bagi siapapun denga background apapun untuk dapat belajar data science dan AI dari nol hingga expert dan siap untuk bekerja dengan role yang beragam dalam dunia data dan AI mulai dari Data Analyst, Business Inteligence, Data Scientist, hingga AI/ML Engineer. Dengan dukungan dan bimbingan dari tutor yang merupakan data science expert di taraf internasional, kamu dapat belajar dari sumber terbaik dan mendaatkan hasil terbaik

Kurikulum

Week 1

Day 1-2
Welcome session & Set up device

Day 3-5
Database & Data Analysis with SQL

Live Session: Overview of SQL, practical exercises, and Q&A
Assignments: SQL queries, database design, LinkedIn post

Week 2

Day 1-5
Python Programming Essentials

Live Session: Python basics, coding exercises, and Q&A
Assignments: Python scripts, basic projects, LinkedIn post

Week 3

Day 1-2
Statistics Essentials

Day 3-5
Python for Data Science

Live Session: Statistical concepts, Python for data analysis, and Q&A
Assignments: Statistical analysis, Python data manipulation, LinkedIn post

Week 4

Day 1-3
Data Visualization with Python


Day 4-5
Data Visualization with Tableau

Live Session: Creating visualizations, best practices, and Q&A
Assignments: Python visualizations, Tableau dashboards, LinkedIn post

Week 5

Day 1-5
Machine Learning 1: Regression

Live Session: Linear regression, model evaluation, and Q&A
Assignments: Regression models, project work, LinkedIn post

Week 6

Day 1-5
Machine Learning 1: Classification

Live Session: Classification techniques, model performance, and Q&A
Assignments: Classification models, project work, LinkedIn post

Week 7

Day 1-5
Machine Learning 2: Clustering

Live Session: Clustering algorithms, practical implementation, and Q&A
Assignments: Clustering projects, analysis, LinkedIn post

Week 8

Day 1-5
Machine Learning 2: PCA

Live Session: Principal Component Analysis, dimensionality reduction, and Q&A
Assignments: PCA applications, projects, LinkedIn post

Week 9

Day 1-5
Deep Learning Basics

Live Session: Introduction to deep learning, neural networks, and Q&A
Assignments: Basic neural networks, practical tasks, LinkedIn post

Week 10

Day 1-5
Deep Learning Advanced

Live Session: Advanced neural networks, tuning models, and Q&A
Assignments: Advanced deep learning projects, LinkedIn post

Week 11-12

Day 1-10
NLP and Computer Vision

Live Session: NLP techniques, computer vision basics, and Q&A
Assignments: NLP tasks, computer vision projects, LinkedIn post

swipe left <<<

Technology

  • SQL
  • Python
  • Pandas (Python library for data manipulation)
  • Numpy (Python library for numerical operations)
  • Matplotlib (Python library for data visualization)
  • Seaborn (Python library for data visualization)
  • Tableau
  • Scikit-learn (Python library for machine learning)
  • TensorFlow (Python library for deep learning)
  • Keras (Python library for deep learning)
  • Natural Language Toolkit (NLTK) (Python library for NLP)
  • SpaCy (Python library for NLP)
  • OpenCV (Library for computer vision)
    Streamlit (Python library for deploying machine learning models)
  • PyTorch (Python library for deep learning)

Tentang Program

Program Belajar Data Science dan AI Paling Lengkap di Indonesia

Data Science & AI Mastery adalah program flagship atau unggulan milik Scientify yang menawarkan perjalanan belajar komprehensif untuk menguasai berbagai kemampuan dalam bidang Data Science dan AI. Program ini tersedia bagi siapapun denga background apapun untuk dapat belajar data science dan AI dari nol hingga expert dan siap untuk bekerja dengan role yang beragam dalam dunia data dan AI mulai dari Data Analyst, Business Inteligence, Data Scientist, hingga AI/ML Engineer. Program ini juga menawaran pembelajaran seputar generative AI dan implementasinya dalam industri. Dengan dukungan dan bimbingan dari tutor yang merupakan data science expert di taraf internasional, kamu dapat belajar dari sumber terbaik dan mendaatkan hasil terbaik.

Kurikulum

Week 1

Day 1-2
Welcome session & Set up device

Day 3-5
Database & Data Analysis with SQL

Live Session: Overview of SQL, practical exercises, and Q&A
Assignments: SQL queries, database design, LinkedIn post

Week 2

Day 1-5
Python Programming Essentials
Live Session: Python basics, coding exercises, and Q&A
Assignments: Python scripts, basic projects, LinkedIn post

Week 3

Day 1-2
Statistics Essentials
Day 3-5
Python for Data Science

Live Session: Statistical concepts, Python for data analysis, and Q&A
Assignments: Statistical analysis, Python data manipulation, LinkedIn post

Week 4

Day 1-3
Data Visualization with Python

Day 4-5
Data Visualization with Tableau
Live Session: Creating visualizations, best practices, and Q&A
Assignments: Python visualizations, Tableau dashboards, LinkedIn post

Week 5

Day 1-5
Machine Learning 1: Regression

Live Session: Linear regression, model evaluation, and Q&A
Assignments: Regression models, project work, LinkedIn post

Week 6

Day 1-5
Machine Learning 1: Classification

Live Session: Classification techniques, model performance, and Q&A
Assignments: Classification models, project work, LinkedIn post

Week 7

Day 1-5
Machine Learning 2: Clustering

Live Session: Clustering algorithms, practical implementation, and Q&A
Assignments: Clustering projects, analysis, LinkedIn post

Week 8

Day 1-5
Machine Learning 2: PCA

Live Session: Principal Component Analysis, dimensionality reduction, and Q&A
Assignments: PCA applications, projects, LinkedIn post

Week 9

Day 1-5
Deep Learning Basics

Live Session: Introduction to deep learning, neural networks, and Q&A
Assignments: Basic neural networks, practical tasks, LinkedIn post

Week 10

Day 1-5
Deep Learning Advanced

Live Session: Advanced neural networks, tuning models, and Q&A
Assignments: Advanced deep learning projects, LinkedIn post

Week 11-12

Day 1-10
NLP and Computer Vision

Live Session: NLP techniques, computer vision basics, and Q&A
Assignments: NLP tasks, computer vision projects, LinkedIn post

Week 13

Day 1-5
Cloud Computing & API

Live Session: Cloud services, API integration, and Q&A
Assignments: Cloud projects, API tasks, LinkedIn post

Week 14-15

Day 1-5 (Week 14)
Generative AI (LLMs)

Day 6-10 (Week 15)
Prompt Engineering, RAG, Fine Tuning, Deployment (Streamlit)

Live Session: Generative AI techniques, deployment strategies, and Q&A
Assignments: Generative AI projects, deployment tasks, LinkedIn post

swipe left <<<

Technology

  • SQL
  • Python
  • Pandas (Python library for data manipulation)
  • Numpy (Python library for numerical operations)
  • Matplotlib (Python library for data visualization)
  • Seaborn (Python library for data visualization)
  • Tableau
  • Scikit-learn (Python library for machine learning)
  • TensorFlow (Python library for deep learning)
  • Keras (Python library for deep learning)
  • Natural Language Toolkit (NLTK) (Python library for NLP)
  • SpaCy (Python library for NLP)
  • OpenCV (Library for computer vision)
  • Cloud Computing Platforms (e.g., AWS, Google Cloud, Azure)
  • API Integration (e.g., RESTful APIs)
  • Streamlit (Python library for deploying machine learning models)
  • PyTorch (Python library for deep learning)
  • OpenAI API (API for accessing OpenAI models)
  • LangChain (Library for building applications with LLMs)
  • Hugging Face (Platform and library for NLP models)
  • Qdrant (Vector database for scalable neural search)

Sistem Belajar

Weekday

  • 2-3 Jam Belajar Mandiri dengan Pre-Recorded Video di LMS Scientify.
  • Jika ada pertanyaan, dapat disampaikan melalui group maupun LMS, dan akan dijawab tiap malam oleh tutor.
  • Setiap hari akan ada tugas baik berupa PR, Challenge, maupun mini project.

Weekend

  • Sesi Live Session untuk membahas pembelajaran satu pekan terakhir.
  • Latihan soal tambahan.
  • Tanya jawab secara langsung

Alumni

Yang sudah berhasil bersama Scientify

Insan Cahya Setia

Senior Data Engineer, W Group

“Jihar is a competent data practitioner. He guided me in learning data science for more than 5 months. He is very dedicated in his work. Professional, helpful, detail oriented and positive person. Someone you can talk to about a lot of things.”
Student from SA Batch 14

M. Raihan Firdaus

BI (Assistant Manager), Brick

“Jihar is a very good tutor. He has a deep understanding in data field, both in fundamental and technical aspect which demonstrated in the way he teach and explain class's material, as well as answering questions from the class attendee (including myself). He is obviously one of the most outstanding data professional that I know.”
Student from SA Batch 12

Faris Rizky Andika

data science specialist, Kementerian Kesehatan

“Jihar is a knowledgeable and friendly tutor of Data Science. He is an easygoing lecturer that emphasized on practical or applicability of fundamental principles in Data Science, which have greatly helped our understanding. He also focused more on sharing best practices in the field of Data that is relevant to Data careers. All in all, I recommend Jihar as a very experienced Data Science tutor.”
Student from SA Batch 6

Anggit Setiadi

Data Analyst, Universitas Terbuka

I had a great experience with my data science bootcamp tutor. He is Jihar Gifari, a brilliant tutor with a clear teaching style. His explanations are comprehensive, and the examples and analogies he provides are easy to grasp. The practical exercises are highly applicable in the professional world. I've personally seen the direct relevance of what I learned in the bootcamp to my job. What's even more impressive is his willingness to answer questions outside of class. Highly recommended!
Scientify Batch 1

Product & Pricing

Next Intake : 7 October2024

Foundation

Advanced

Mastery

Early Bird I

<= 31 Agustus 2024

999,000

1,499,000

2,975,000

Early Bird II

1-14 September 2024

1,549,000

2,475,000

3,475,000

Reguler

> 15 September 2024

2,450,000

2,999,000

4,275,000

PILIH
PILIH
PILIH

*All proces is in IDR

**Last Registration :

30 September 2024

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Program Kami Cocok Untuk :

Switch Career to Data Field

Kamu sudah bekerja dan ingin masuk ke dunia tech, data & AI? Program kami adalah pilihan yang tepat, dengan waktu belajar yang flexible, kurikulum yang relevan, dan pengajar yang ahli, kamu bisa masuk ke dunia tech, data, dan AI dengan lebih cepat!

Support Current Job

Kamu saat tidak bekerja di dunia tech & data tapi ada kebutuhan untuk mengolah data untuk menghasilkan analisis yang matang? program kami juga cocok untuk membantu kamu stand out dalam pekerjaan mu dengan skill data science!

Upgrade Career In Data Science

Kamu sudah berarir di dunia data tapi meraka skill kamu mulai kurang relevan? Ini waktu yang tepat untuk mulai kembali belajar dan mendalami teknik-teknik terbaru dalam data science & AI!

Refresh Fundamental Concepts

Kamu sudah berkarir di dunia data tapi ingin menguatkan kembali pemahaman dasar dalam programming, statistics, machine learning, dan deep learning tanpa menganggu jam kerja? Kamu berada di tempat yang paling tepat!

Apply Data Science in Business

Tidak hanya untuk para pekerja, jia kamu business leader yang ingin business mu tetap relevan dengan perkembangan AI, pastikan bisnis mu mengadopsi teknologi terbaru dalam AI dengan belajar bersama Scientify!

Extend Overall Skillset

Salah satu kunci berhsail adalah selalu belajar dan beradaptasi dengan hal baru, buat dirimu selalu relevan dengan kebutuhan Industri saat ini bersama Scientify!

Mana Yang Terbaik Untukmu?

Bandingkan Program

PT. ALDRAN GROUP INDONESIA
Vila Indah Pajajaran
Jl Sultan Agung No.1, Kota Bogor, Jawa Barat, Indonesia – 16153

Email :
support@scientifyeducation.com
Phone :
+62 823 1028 8910

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