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Learn All About Machine Learning – Time Series & Forecasting (Livestream)

minimal usia: 18 tahun
Level: Pemula
Bahasa Pengantar: Indonesia & Inggris

Tentang Workshop

Hi Learners! Machine Learning Time Series and Forecasting is a 4-days (each 3 hours), in a Livestream interactive online workshop format.

Decomposition of time series allows us to learn about the underlying seasonality, trend and random fluctuations in a systematic fashion. In this workshop, we learn the methods to account for seasonality and trend, work with autocorrelation models and create industry-scale forecasts using modern tools and frameworks.

We strongly recommend that you complete the pre-requisite workshops prior to taking this course. Some concepts presented throughout the lecture may be less-than-ideal for practitioners who have not completed the pre-requisite courses.

Our instructors and teaching assistant will be guiding you with the course. So, what are you waiting for? Register yourself now to be a data scientist!


PRASYARAT

We strongly recommend that you complete these classes below before:
- Programming for Data Science
- Practical Statistics
- Regression Model Courses


Poin Materi Belajar

MODULE 1: TIME SERIES I
1. WORKING WITH TIME SERIES
- Application of Time Series
- Definition of a ts Object
- Functions to Work with Time Series
2. TIME SERIES IN ACTION
- Indonesia’s Gas Emissions, 1970-2012
- Frequency, Start and End
- Time Series Plots
3. CLASSICAL DECOMPOSITION
- Trend, Seasonality and Residuals
- Understanding Lags
- Additive vs Multiplicative
4. CLASSICAL DECOMPOSITION IN ACTION
- Monthly Airline Passenger, 1949-1960
- The decompose Function
- Understanding Smoothing
5. TECHNIQUES TO WORK WITH TIME SERIES
- Adjusting for Seasonality
- Detrending
- Decomposing Non-Seasonal Time Series

MODULE 2: FORECASTING
1. FORECASTING I
- Simple Moving Average
- Simple Moving Average from First Principles
- Log-Transformation
2. FORECASTING II
- Forecasting Using One-sided SMA
- Forecasting Using Exponential Smoothing
- Holt’s Exponential Smoothing
3. FORECASTING III
- The beta and gamma Coefficients
- Mathematical Details
- Holt-Winters Exponential Smoothing
4. ADVANCED TIME SERIES
- ACF and PACF
- ARMA and ARIMA Models
- Stationarity and Differencing
5. ADVANCED TIME SERIES II
- Augmented Dickey-Fuller (ADF) Test
- Seasonal ARIMA
- Tips to Work With xts
- Facebook’s Prophet
- Quantmod for Quantitative Traders

Rp 2.200.000 / per pax

Minggu, 26 Juli 2020, 11 PM WIB

Pendaftaran tutup, beritahu saya jadwal berikutnya!

Tentang Pengajar

  • Algoritma Data Science Education
    Algoritma Data Science Education, (Data Science)

    Learn data science by building with Algoritma! We hold programming workshops and bootcamps for those who are looking to upgrade their data science skills.


Harga termasuk:

- All tools & materials during class
- Ongoing Mentorship
- Teaching Assistant Support


Sertifikat

Bentuk Sertifikat: Elektronik


Yang perlu disiapkan

- Laptop with minimum RAM 4GB
- Hard Disk with capacity free space of 10GB


Tanya Jawab

  • Tanya: Bisakah saya mendapat pengembalian uang jika tiba-tiba saya berhalangan hadir?

    Jawab: Tidak.

  • Tanya: Bisakah teman saya menggantikan saya jika saya berhalangan hadir?

    Jawab: Bisa, kalau kamu peserta umum dan bukan penerima Kartu Prakerja. Untuk penerima Kartu Prakerja kamu tidak diperbolehkan mengganti kepesertaan.


Syarat & Ketentuan

Semua pembayaran tidak dapat diuangkan kembali dan tidak bisa dialihkan ke workshop lain, tapi kamu boleh memberikan tiketmu ke orang lain jika kamu peserta umum. Untuk penerima Kartu Prakerja, pemindahan kepesertaan tidak berlaku. Hubungi tim kami untuk pengaturan lebih lanjut.

Segala pemberitahuan mengenai informasi dan perubahan kelas akan disampaikan langsung oleh sistem kami melalui email, harap melakukan pengecekan email secara berkala.


Catatan Khusus

Kesulitan mendaftar? Kami bisa membantu! Hubungi kami di
Whatsapp/SMS: +62 811 880 7172
Email: workshop@maubelajarapa.com
LINE: @maubelajarapa
Sampai ketemu di kelas!

Rp 2.200.000 / per pax

Minggu, 26 Juli 2020, 11 PM WIB

Pendaftaran tutup, beritahu saya jadwal berikutnya!

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